29. ICML 2012:Edinburgh, Scotland, UK

Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012. icml.cc / Omnipress 【DBLP Link】

Paper Num: 243 || Session Num: 0

1. Conversational Speech Transcription Using Context-Dependent Deep Neural Networks.

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【Authors】: Dong Yu ; Frank Seide ; Gang Li

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2. Data-driven Web Design.

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【Authors】: Ranjitha Kumar ; Jerry O. Talton ; Salman Ahmad ; Scott R. Klemmer

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3. Learning the Central Events and Participants in Unlabeled Text.

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【Authors】: Nathanael Chambers ; Dan Jurafsky

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4. Exemplar-SVMs for Visual Ob ject Detection, Label Transfer and Image Retrieval.

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【Authors】: Tomasz Malisiewicz ; Abhinav Shrivastava ; Abhinav Gupta ; Alexei A. Efros

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5. Capturing topical content with frequency and exclusivity.

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【Authors】: Jonathan Bischof ; Edoardo M. Airoldi

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6. TrueLabel + Confusions: A Spectrum of Probabilistic Models in Analyzing Multiple Ratings.

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【Authors】: Chao Liu ; Yi-Min Wang

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7. Robust Multiple Manifold Structure Learning.

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【Authors】: Dian Gong ; Xuemei Zhao ; Gérard G. Medioni

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8. Two Manifold Problems with Applications to Nonlinear System Identification.

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【Authors】: Byron Boots ; Geoffrey J. Gordon

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9. On the Difficulty of Nearest Neighbor Search.

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【Authors】: Junfeng He ; Sanjiv Kumar ; Shih-Fu Chang

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10. Learning Force Control Policies for Compliant Robotic Manipulation.

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【Authors】: Mrinal Kalakrishnan ; Ludovic Righetti ; Peter Pastor ; Stefan Schaal

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11. Estimation of Simultaneously Sparse and Low Rank Matrices.

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【Authors】: Pierre-André Savalle ; Emile Richard ; Nicolas Vayatis

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12. Online Structured Prediction via Coactive Learning.

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【Authors】: Pannaga Shivaswamy ; Thorsten Joachims

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13. Using CCA to improve CCA: A new spectral method for estimating vector models of words.

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【Authors】: Paramveer S. Dhillon ; Jordan Rodu ; Dean P. Foster ; Lyle H. Ungar

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14. Bounded Planning in Passive POMDPs.

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【Authors】: Roy Fox ; Naftali Tishby

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15. Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss.

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【Authors】: Shai Ben-David ; David Loker ; Nathan Srebro ; Karthik Sridharan

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16. Bayesian Efficient Multiple Kernel Learning.

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【Authors】: Mehmet Gönen

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17. Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes.

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【Authors】: Murat Dundar ; Ferit Akova ; Alan Qi ; Bartek Rajwa

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18. Exact Soft Confidence-Weighted Learning.

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【Authors】: Steven C. H. Hoi ; Jialei Wang ; Peilin Zhao

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19. Distributed Tree Kernels.

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【Authors】: Fabio Massimo Zanzotto ; Lorenzo Dell'Arciprete

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20. Multiple Kernel Learning from Noisy Labels by Stochastic Programming.

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【Authors】: Tianbao Yang ; Mehrdad Mahdavi ; Rong Jin ; Lijun Zhang ; Yang Zhou

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21. Improved Nystrom Low-rank Decomposition with Priors.

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【Authors】: Kai Zhang ; Liang Lan ; Jun Liu ; Andreas Rauber

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22. Active Learning for Matching Problems.

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【Authors】: Laurent Charlin ; Richard S. Zemel ; Craig Boutilier

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23. Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design.

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【Authors】: Lauren Hannah ; David B. Dunson

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24. Groupwise Constrained Reconstruction for Subspace Clustering.

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【Authors】: Ruijiang Li ; Bin Li ; Cheng Jin ; Xiangyang Xue

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25. Stability of matrix factorization for collaborative filtering.

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【Authors】: Yu-Xiang Wang ; Huan Xu

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26. Adaptive Regularization for Similarity Measures.

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【Authors】: Koby Crammer ; Gal Chechik

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27. Linear Off-Policy Actor-Critic.

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【Authors】: Thomas Degris ; Martha White ; Richard S. Sutton

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28. Modeling Latent Variable Uncertainty for Loss-based Learning.

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【Authors】: M. Pawan Kumar ; Benjamin Packer ; Daphne Koller

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29. Dimensionality Reduction by Local Discriminative Gaussians.

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【Authors】: Nathan Parrish ; Maya R. Gupta

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30. Learning to Label Aerial Images from Noisy Data.

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【Authors】: Volodymyr Mnih ; Geoffrey E. Hinton

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31. The Most Persistent Soft-Clique in a Set of Sampled Graphs.

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【Authors】: Novi Quadrianto ; Chao Chen ; Christoph H. Lampert

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32. Learning Efficient Structured Sparse Models.

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【Authors】: Alexander M. Bronstein ; Pablo Sprechmann ; Guillermo Sapiro

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33. PAC Subset Selection in Stochastic Multi-armed Bandits.

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【Authors】: Shivaram Kalyanakrishnan ; Ambuj Tewari ; Peter Auer ; Peter Stone

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34. Nonparametric variational inference.

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【Authors】: Samuel Gershman ; Matthew D. Hoffman ; David M. Blei

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35. The Convexity and Design of Composite Multiclass Losses.

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【Authors】: Mark D. Reid ; Robert C. Williamson ; Peng Sun

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36. Finding Botnets Using Minimal Graph Clusterings.

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【Authors】: Peter Haider ; Tobias Scheffer

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37. Learning the Experts for Online Sequence Prediction.

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【Authors】: Elad Eban ; Aharon Birnbaum ; Shai Shalev-Shwartz ; Amir Globerson

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38. Efficient Active Algorithms for Hierarchical Clustering.

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【Authors】: Akshay Krishnamurthy ; Sivaraman Balakrishnan ; Min Xu ; Aarti Singh

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39. Copula Mixture Model for Dependency-seeking Clustering.

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【Authors】: Mélanie Rey ; Volker Roth

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40. The Landmark Selection Method for Multiple Output Prediction.

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【Authors】: Krishnakumar Balasubramanian ; Guy Lebanon

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41. Subgraph Matching Kernels for Attributed Graphs.

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【Authors】: Nils Kriege ; Petra Mutzel

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42. Adaptive Canonical Correlation Analysis Based On Matrix Manifolds.

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【Authors】: Florian Yger ; Maxime Berar ; Gilles Gasso ; Alain Rakotomamonjy

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43. Batch Active Learning via Coordinated Matching.

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【Authors】: Javad Azimi ; Alan Fern ; Xiaoli Zhang Fern ; Glencora Borradaile ; Brent Heeringa

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44. Hybrid Batch Bayesian Optimization.

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【Authors】: Javad Azimi ; Ali Jalali ; Xiaoli Zhang Fern

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45. Efficient and Practical Stochastic Subgradient Descent for Nuclear Norm Regularization.

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【Authors】: Haim Avron ; Satyen Kale ; Shiva Prasad Kasiviswanathan ; Vikas Sindhwani

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46. Gap Filling in the Plant Kingdom - Trait Prediction Using Hierarchical Probabilistic Matrix Factorization.

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【Authors】: Hanhuai Shan ; Jens Kattge ; Peter B. Reich ; Arindam Banerjee ; Franziska Schrodt ; Markus Reichstein

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47. Sparse Support Vector Infinite Push.

【Paper Link】【Pages】:

【Authors】: Alain Rakotomamonjy

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48. A Dantzig Selector Approach to Temporal Difference Learning.

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【Authors】: Matthieu Geist ; Bruno Scherrer ; Alessandro Lazaric ; Mohammad Ghavamzadeh

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49. Scaling Up Coordinate Descent Algorithms for Large ℓ1 Regularization Problems.

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【Authors】: Chad Scherrer ; Mahantesh Halappanavar ; Ambuj Tewari ; David Haglin

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50. Cross-Domain Multitask Learning with Latent Probit Models.

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【Authors】: Shaobo Han ; Xuejun Liao ; Lawrence Carin

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51. Structured Learning from Partial Annotations.

【Paper Link】【Pages】:

【Authors】: Xinghua Lou ; Fred A. Hamprecht

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52. Maximum Margin Output Coding.

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【Authors】: Yi Zhang ; Jeff G. Schneider

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53. Sequential Nonparametric Regression.

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【Authors】: Haijie Gu ; John D. Lafferty

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54. An Infinite Latent Attribute Model for Network Data.

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【Authors】: Konstantina Palla ; David A. Knowles ; Zoubin Ghahramani

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55. On Local Regret.

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【Authors】: Michael Bowling ; Martin Zinkevich

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56. Smoothness and Structure Learning by Proxy .

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【Authors】: Benjamin Yackley ; Terran Lane

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57. A fast and simple algorithm for training neural probabilistic language models.

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【Authors】: Andriy Mnih ; Yee Whye Teh

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58. Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs.

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【Authors】: Giorgos Borboudakis ; Ioannis Tsamardinos

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59. High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains.

【Paper Link】【Pages】:

【Authors】: Majid Janzamin ; Animashree Anandkumar

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60. Latent Collaborative Retrieval.

【Paper Link】【Pages】:

【Authors】: Jason Weston ; Chong Wang ; Ron J. Weiss ; Adam Berenzweig

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61. Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty.

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【Authors】: Shie Mannor ; Ofir Mebel ; Huan Xu

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62. On causal and anticausal learning.

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【Authors】: Bernhard Schölkopf ; Dominik Janzing ; Jonas Peters ; Eleni Sgouritsa ; Kun Zhang ; Joris M. Mooij

【Abstract】:

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63. Compact Hyperplane Hashing with Bilinear Functions.

【Paper Link】【Pages】:

【Authors】: Wei Liu ; Jun Wang ; Yadong Mu ; Sanjiv Kumar ; Shih-Fu Chang

【Abstract】:

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64. Continuous Inverse Optimal Control with Locally Optimal Examples.

【Paper Link】【Pages】:

【Authors】: Sergey Levine ; Vladlen Koltun

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65. Convex Multitask Learning with Flexible Task Clusters.

【Paper Link】【Pages】:

【Authors】: Wenliang Zhong ; James Tin-Yau Kwok

【Abstract】:

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66. A Hierarchical Dirichlet Process Model with Multiple Levels of Clustering for Human EEG Seizure Modeling.

【Paper Link】【Pages】:

【Authors】: Drausin Wulsin ; Shane Jensen ; Brian Litt

【Abstract】:

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67. Levy Measure Decompositions for the Beta and Gamma Processes.

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【Authors】: Yingjian Wang ; Lawrence Carin

【Abstract】:

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68. Building high-level features using large scale unsupervised learning.

【Paper Link】【Pages】:

【Authors】: Quoc V. Le ; Marc'Aurelio Ranzato ; Rajat Monga ; Matthieu Devin ; Greg Corrado ; Kai Chen ; Jeffrey Dean ; Andrew Y. Ng

【Abstract】:

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69. Near-Optimal BRL using Optimistic Local Transitions.

【Paper Link】【Pages】:

【Authors】: Mauricio Araya-López ; Olivier Buffet ; Vincent Thomas

【Abstract】:

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70. A Unified Robust Classification Model.

【Paper Link】【Pages】:

【Authors】: Akiko Takeda ; Hiroyuki Mitsugi ; Takafumi Kanamori

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71. Manifold Relevance Determination.

【Paper Link】【Pages】:

【Authors】: Andreas C. Damianou ; Carl Henrik Ek ; Michalis K. Titsias ; Neil D. Lawrence

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72. Residual Components Analysis.

【Paper Link】【Pages】:

【Authors】: Alfredo A. Kalaitzis ; Neil D. Lawrence

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73. Clustering to Maximize the Ratio of Split to Diameter.

【Paper Link】【Pages】:

【Authors】: Jiabing Wang ; Jiaye Chen

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74. A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training.

【Paper Link】【Pages】:

【Authors】: Aaron Defazio ; Tibério S. Caetano

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75. On-Line Portfolio Selection with Moving Average Reversion.

【Paper Link】【Pages】:

【Authors】: Bin Li ; Steven C. H. Hoi

【Abstract】:

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76. Improved Information Gain Estimates for Decision Tree Induction.

【Paper Link】【Pages】:

【Authors】: Sebastian Nowozin

【Abstract】:

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77. Influence Maximization in Continuous Time Diffusion Networks.

【Paper Link】【Pages】:

【Authors】: Manuel Gomez-Rodriguez ; Bernhard Schölkopf

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78. On the Size of the Online Kernel Sparsification Dictionary.

【Paper Link】【Pages】:

【Authors】: Yi Sun ; Faustino J. Gomez ; Jürgen Schmidhuber

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79. Multi-level Lasso for Sparse Multi-task Regression.

【Paper Link】【Pages】:

【Authors】: Aurelie C. Lozano ; Grzegorz Swirszcz

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80. Fast Computation of Subpath Kernel for Trees.

【Paper Link】【Pages】:

【Authors】: Daisuke Kimura ; Hisashi Kashima

【Abstract】:

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81. Total Variation and Euler's Elastica for Supervised Learning.

【Paper Link】【Pages】:

【Authors】: Tong Lin ; Hanlin Xue ; Ling Wang ; Hongbin Zha

【Abstract】:

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82. Learning the Dependence Graph of Time Series with Latent Factors.

【Paper Link】【Pages】:

【Authors】: Ali Jalali ; Sujay Sanghavi

【Abstract】:

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83. A Generalized Loop Correction Method for Approximate Inference in Graphical Models.

【Paper Link】【Pages】:

【Authors】: Siamak Ravanbakhsh ; Chun-Nam Yu ; Russell Greiner

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84. Consistent Covariance Selection From Data With Missing Values.

【Paper Link】【Pages】:

【Authors】: Mladen Kolar ; Eric P. Xing

【Abstract】:

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85. Is margin preserved after random projection?.

【Paper Link】【Pages】:

【Authors】: Qinfeng Shi ; Chunhua Shen ; Rhys Hill ; Anton van den Hengel

【Abstract】:

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86. A Bayesian Approach to Approximate Joint Diagonalization of Square Matrices.

【Paper Link】【Pages】:

【Authors】: Mingjun Zhong ; Mark A. Girolami

【Abstract】:

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87. Predicting accurate probabilities with a ranking loss.

【Paper Link】【Pages】:

【Authors】: Aditya Krishna Menon ; Xiaoqian Jiang ; Shankar Vembu ; Charles Elkan ; Lucila Ohno-Machado

【Abstract】:

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88. Learning with Augmented Features for Heterogeneous Domain Adaptation.

【Paper Link】【Pages】:

【Authors】: Lixin Duan ; Dong Xu ; Ivor W. Tsang

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89. Dirichlet Process with Mixed Random Measures: A Nonparametric Topic Model for Labeled Data.

【Paper Link】【Pages】:

【Authors】: Dongwoo Kim ; Suin Kim ; Alice H. Oh

【Abstract】:

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90. Evaluating Bayesian and L1 Approaches for Sparse Unsupervised Learning .

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【Authors】: Shakir Mohamed ; Katherine A. Heller ; Zoubin Ghahramani

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【Paper Link】【Pages】:

【Authors】: Sanjay Purushotham ; Yan Liu

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92. LPQP for MAP: Putting LP Solvers to Better Use.

【Paper Link】【Pages】:

【Authors】: Patrick Pletscher ; Sharon Wulff

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93. Clustering by Low-Rank Doubly Stochastic Matrix Decomposition.

【Paper Link】【Pages】:

【Authors】: Zhirong Yang ; Erkki Oja

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94. Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling.

【Paper Link】【Pages】:

【Authors】: Changyou Chen ; Nan Ding ; Wray L. Buntine

【Abstract】:

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95. State-Space Inference for Non-Linear Latent Force Models with Application to Satellite Orbit Prediction.

【Paper Link】【Pages】:

【Authors】: Jouni Hartikainen ; Mari Seppänen ; Simo Särkkä

【Abstract】:

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96. Sparse Additive Functional and Kernel CCA.

【Paper Link】【Pages】:

【Authors】: Sivaraman Balakrishnan ; Kriti Puniyani ; John D. Lafferty

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97. The Kernelized Stochastic Batch Perceptron.

【Paper Link】【Pages】:

【Authors】: Andrew Cotter ; Shai Shalev-Shwartz ; Nathan Srebro

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98. Fast classification using sparse decision DAGs.

【Paper Link】【Pages】:

【Authors】: Róbert Busa-Fekete ; Djalel Benbouzid ; Balázs Kégl

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99. A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion.

【Paper Link】【Pages】:

【Authors】: Franz J. Király ; Ryota Tomioka

【Abstract】:

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100. Rethinking Collapsed Variational Bayes Inference for LDA.

【Paper Link】【Pages】:

【Authors】: Issei Sato ; Hiroshi Nakagawa

【Abstract】:

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101. Exact Maximum Margin Structure Learning of Bayesian Networks.

【Paper Link】【Pages】:

【Authors】: Robert Peharz ; Franz Pernkopf

【Abstract】:

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102. AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem.

【Paper Link】【Pages】:

【Authors】: Peng Sun ; Mark D. Reid ; Jie Zhou

【Abstract】:

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103. Hypothesis testing using pairwise distances and associated kernels.

【Paper Link】【Pages】:

【Authors】: Dino Sejdinovic ; Arthur Gretton ; Bharath K. Sriperumbudur ; Kenji Fukumizu

【Abstract】:

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104. Monte Carlo Bayesian Reinforcement Learning.

【Paper Link】【Pages】:

【Authors】: Yi Wang ; Kok Sung Won ; David Hsu ; Wee Sun Lee

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105. A Topic Model for Melodic Sequences.

【Paper Link】【Pages】:

【Authors】: Athina Spiliopoulou ; Amos J. Storkey

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106. Output Space Search for Structured Prediction.

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【Authors】: Janardhan Rao Doppa ; Alan Fern ; Prasad Tadepalli

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107. How To Grade a Test Without Knowing the Answers - A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing.

【Paper Link】【Pages】:

【Authors】: Yoram Bachrach ; Thore Graepel ; Tom Minka ; John Guiver

【Abstract】:

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108. Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization.

【Paper Link】【Pages】:

【Authors】: Thomas Desautels ; Andreas Krause ; Joel W. Burdick

【Abstract】:

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109. A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound.

【Paper Link】【Pages】:

【Authors】: Ming Ji ; Tianbao Yang ; Binbin Lin ; Rong Jin ; Jiawei Han

【Abstract】:

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110. Bayesian Optimal Active Search and Surveying.

【Paper Link】【Pages】:

【Authors】: Roman Garnett ; Yamuna Krishnamurthy ; Xuehan Xiong ; Jeff G. Schneider ; Richard P. Mann

【Abstract】:

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111. Incorporating Domain Knowledge in Matching Problems via Harmonic Analysis.

【Paper Link】【Pages】:

【Authors】: Deepti Pachauri ; Maxwell D. Collins ; Vikas Singh

【Abstract】:

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112. Lognormal and Gamma Mixed Negative Binomial Regression.

【Paper Link】【Pages】:

【Authors】: Mingyuan Zhou ; Lingbo Li ; David B. Dunson ; Lawrence Carin

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113. Greedy Algorithms for Sparse Reinforcement Learning.

【Paper Link】【Pages】:

【Authors】: Christopher Painter-Wakefield ; Ronald Parr

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114. Variance Function Estimation in High-dimensions.

【Paper Link】【Pages】:

【Authors】: Mladen Kolar ; James Sharpnack

【Abstract】:

【Keywords】:

115. Conditional Sparse Coding and Grouped Multivariate Regression.

【Paper Link】【Pages】:

【Authors】: Min Xu ; John D. Lafferty

【Abstract】:

【Keywords】:

116. Apprenticeship Learning for Model Parameters of Partially Observable Environments.

【Paper Link】【Pages】:

【Authors】: Takaki Makino ; Johane Takeuchi

【Abstract】:

【Keywords】:

117. Modeling Images using Transformed Indian Buffet Processes.

【Paper Link】【Pages】:

【Authors】: Ke Zhai ; Yuening Hu ; Jordan L. Boyd-Graber ; Sinead Williamson

【Abstract】:

【Keywords】:

118. Learning Object Arrangements in 3D Scenes using Human Context.

【Paper Link】【Pages】:

【Authors】: Yun Jiang ; Marcus Lim ; Ashutosh Saxena

【Abstract】:

【Keywords】:

119. Cross Language Text Classification via Subspace Co-regularized Multi-view Learning .

【Paper Link】【Pages】:

【Authors】: Yuhong Guo ; Min Xiao

【Abstract】:

【Keywords】:

120. Plug-in martingales for testing exchangeability on-line.

【Paper Link】【Pages】:

【Authors】: Valentina Fedorova ; Alex J. Gammerman ; Ilia Nouretdinov ; Volodya Vovk

【Abstract】:

【Keywords】:

121. An Iterative Locally Linear Embedding Algorithm.

【Paper Link】【Pages】:

【Authors】: Deguang Kong ; Chris H. Q. Ding

【Abstract】:

【Keywords】:

122. Gaussian Process Quantile Regression using Expectation Propagation.

【Paper Link】【Pages】:

【Authors】: Alexis Boukouvalas ; Remi Barillec ; Dan Cornford

【Abstract】:

【Keywords】:

123. Latent Multi-group Membership Graph Model.

【Paper Link】【Pages】:

【Authors】: Myunghwan Kim ; Jure Leskovec

【Abstract】:

【Keywords】:

124. Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations.

【Paper Link】【Pages】:

【Authors】: Nando de Freitas ; Alexander J. Smola ; Masrour Zoghi

【Abstract】:

【Keywords】:

125. Estimating the Hessian by Back-propagating Curvature.

【Paper Link】【Pages】:

【Authors】: James Martens ; Ilya Sutskever ; Kevin Swersky

【Abstract】:

【Keywords】:

126. Feature Selection via Probabilistic Outputs.

【Paper Link】【Pages】:

【Authors】: Andrea Pohoreckyj Danyluk ; Nicholas Arnosti

【Abstract】:

【Keywords】:

127. Hierarchical Exploration for Accelerating Contextual Bandits.

【Paper Link】【Pages】:

【Authors】: Yisong Yue ; Sue Ann Hong ; Carlos Guestrin

【Abstract】:

【Keywords】:

128. Fast Training of Nonlinear Embedding Algorithms.

【Paper Link】【Pages】:

【Authors】: Max Vladymyrov ; Miguel Á. Carreira-Perpiñán

【Abstract】:

【Keywords】:

129. Fast Prediction of New Feature Utility.

【Paper Link】【Pages】:

【Authors】: Hoyt A. Koepke ; Mikhail Bilenko

【Abstract】:

【Keywords】:

130. Robust Classification with Adiabatic Quantum Optimization.

【Paper Link】【Pages】:

【Authors】: Vasil S. Denchev ; Nan Ding ; S. V. N. Vishwanathan ; Hartmut Neven

【Abstract】:

【Keywords】:

131. Agglomerative Bregman Clustering.

【Paper Link】【Pages】:

【Authors】: Matus Telgarsky ; Sanjoy Dasgupta

【Abstract】:

【Keywords】:

132. Isoelastic Agents and Wealth Updates in Machine Learning Markets.

【Paper Link】【Pages】:

【Authors】: Amos J. Storkey ; Jono Millin ; Krzysztof Geras

【Abstract】:

【Keywords】:

133. Quasi-Newton Methods: A New Direction.

【Paper Link】【Pages】:

【Authors】: Philipp Hennig ; Martin Kiefel

【Abstract】:

【Keywords】:

134. No-Regret Learning in Extensive-Form Games with Imperfect Recall.

【Paper Link】【Pages】:

【Authors】: Marc Lanctot ; Richard G. Gibson ; Neil Burch ; Michael Bowling

【Abstract】:

【Keywords】:

135. Information-theoretic Semi-supervised Metric Learning via Entropy Regularization.

【Paper Link】【Pages】:

【Authors】: Gang Niu ; Bo Dai ; Makoto Yamada ; Masashi Sugiyama

【Abstract】:

【Keywords】:

136. Fast approximation of matrix coherence and statistical leverage.

【Paper Link】【Pages】:

【Authors】: Michael W. Mahoney ; Petros Drineas ; Malik Magdon-Ismail ; David P. Woodruff

【Abstract】:

【Keywords】:

137. Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting.

【Paper Link】【Pages】:

【Authors】: Ning Xie ; Hirotaka Hachiya ; Masashi Sugiyama

【Abstract】:

【Keywords】:

138. On multi-view feature learning.

【Paper Link】【Pages】:

【Authors】: Roland Memisevic

【Abstract】:

【Keywords】:

139. Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning.

【Paper Link】【Pages】:

【Authors】: Steven C. H. Hoi ; Jialei Wang ; Peilin Zhao ; Rong Jin ; Pengcheng Wu

【Abstract】:

【Keywords】:

140. A Hybrid Algorithm for Convex Semidefinite Optimization.

【Paper Link】【Pages】:

【Authors】: Sören Laue

【Abstract】:

【Keywords】:

141. A Complete Analysis of the l_1, p Group-Lasso.

【Paper Link】【Pages】:

【Authors】: Julia E. Vogt ; Volker Roth

【Abstract】:

【Keywords】:

142. Convergence Rates of Biased Stochastic Optimization for Learning Sparse Ising Models.

【Paper Link】【Pages】:

【Authors】: Jean Honorio

【Abstract】:

【Keywords】:

143. Decoupling Exploration and Exploitation in Multi-Armed Bandits.

【Paper Link】【Pages】:

【Authors】: Orly Avner ; Shie Mannor ; Ohad Shamir

【Abstract】:

【Keywords】:

144. Learning to Identify Regular Expressions that Describe Email Campaigns.

【Paper Link】【Pages】:

【Authors】: Paul Prasse ; Christoph Sawade ; Niels Landwehr ; Tobias Scheffer

【Abstract】:

【Keywords】:

145. Deep Mixtures of Factor Analysers.

【Paper Link】【Pages】:

【Authors】: Yichuan Tang ; Ruslan Salakhutdinov ; Geoffrey E. Hinton

【Abstract】:

【Keywords】:

146. Revisiting k-means: New Algorithms via Bayesian Nonparametrics.

【Paper Link】【Pages】:

【Authors】: Brian Kulis ; Michael I. Jordan

【Abstract】:

【Keywords】:

147. Gaussian Process Regression Networks.

【Paper Link】【Pages】:

【Authors】: Andrew Gordon Wilson ; David A. Knowles ; Zoubin Ghahramani

【Abstract】:

【Keywords】:

148. Analysis of Kernel Mean Matching under Covariate Shift.

【Paper Link】【Pages】:

【Authors】: Yaoliang Yu ; Csaba Szepesvári

【Abstract】:

【Keywords】:

149. Tighter Variational Representations of f-Divergences via Restriction to Probability Measures.

【Paper Link】【Pages】:

【Authors】: Avraham Ruderman ; Mark D. Reid ; Dario García-García ; James Petterson

【Abstract】:

【Keywords】:

150. Training Restricted Boltzmann Machines on Word Observations.

【Paper Link】【Pages】:

【Authors】: George E. Dahl ; Ryan Prescott Adams ; Hugo Larochelle

【Abstract】:

【Keywords】:

151. Bayesian Watermark Attacks.

【Paper Link】【Pages】:

【Authors】: Ivo Shterev ; David B. Dunson

【Abstract】:

【Keywords】:

152. Max-Margin Nonparametric Latent Feature Models for Link Prediction.

【Paper Link】【Pages】:

【Authors】: Jun Zhu

【Abstract】:

【Keywords】:

153. Discriminative Probabilistic Prototype Learning.

【Paper Link】【Pages】:

【Authors】: Edwin V. Bonilla ; Antonio Robles-Kelly

【Abstract】:

【Keywords】:

154. Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling.

【Paper Link】【Pages】:

【Authors】: Yan Liu ; Mohammad Taha Bahadori ; Hongfei Li

【Abstract】:

【Keywords】:

155. Factorized Asymptotic Bayesian Hidden Markov Models.

【Paper Link】【Pages】:

【Authors】: Ryohei Fujimaki ; Kohei Hayashi

【Abstract】:

【Keywords】:

156. PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification.

【Paper Link】【Pages】:

【Authors】: Emilie Morvant ; Sokol Koço ; Liva Ralaivola

【Abstract】:

【Keywords】:

157. Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching.

【Paper Link】【Pages】:

【Authors】: Marthinus Christoffel du Plessis ; Masashi Sugiyama

【Abstract】:

【Keywords】:

158. A Proximal-Gradient Homotopy Method for the L1-Regularized Least-Squares Problem.

【Paper Link】【Pages】:

【Authors】: Lin Xiao ; Tong Zhang

【Abstract】:

【Keywords】:

159. Comparison-Based Learning with Rank Nets.

【Paper Link】【Pages】:

【Authors】: Amin Karbasi ; Stratis Ioannidis ; Laurent Massoulié

【Abstract】:

【Keywords】:

160. Semi-Supervised Collective Classification via Hybrid Label Regularization.

【Paper Link】【Pages】:

【Authors】: Luke McDowell ; David W. Aha

【Abstract】:

【Keywords】:

161. Shortest path distance in random k-nearest neighbor graphs.

【Paper Link】【Pages】:

【Authors】: Morteza Alamgir ; Ulrike von Luxburg

【Abstract】:

【Keywords】:

162. A Split-Merge Framework for Comparing Clusterings.

【Paper Link】【Pages】:

【Authors】: Qiaoliang Xiang ; Qi Mao ; Kian Ming Adam Chai ; Hai Leong Chieu ; Ivor W. Tsang ; Zhendong Zhao

【Abstract】:

【Keywords】:

163. Compositional Planning Using Optimal Option Models.

【Paper Link】【Pages】:

【Authors】: David Silver ; Kamil Ciosek

【Abstract】:

【Keywords】:

164. Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation.

【Paper Link】【Pages】:

【Authors】: Yuan Shi ; Fei Sha

【Abstract】:

【Keywords】:

165. Flexible Modeling of Latent Task Structures in Multitask Learning.

【Paper Link】【Pages】:

【Authors】: Alexandre Passos ; Piyush Rai ; Jacques Wainer ; Hal Daumé III

【Abstract】:

【Keywords】:

166. An Efficient Approach to Sparse Linear Discriminant Analysis.

【Paper Link】【Pages】:

【Authors】: Luis Francisco Sánchez Merchante ; Yves Grandvalet ; Gérard Govaert

【Abstract】:

【Keywords】:

167. The Greedy Miser: Learning under Test-time Budgets.

【Paper Link】【Pages】:

【Authors】: Zhixiang Eddie Xu ; Kilian Q. Weinberger ; Olivier Chapelle

【Abstract】:

【Keywords】:

168. Canonical Trends: Detecting Trend Setters in Web Data.

【Paper Link】【Pages】:

【Authors】: Felix Bießmann ; Jens-Michalis Papaioannou ; Mikio L. Braun ; Andreas Harth

【Abstract】:

【Keywords】:

169. A convex relaxation for weakly supervised classifiers.

【Paper Link】【Pages】:

【Authors】: Armand Joulin ; Francis R. Bach

【Abstract】:

【Keywords】:

170. Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events.

【Paper Link】【Pages】:

【Authors】: Jesse Davis ; Vítor Santos Costa ; Elizabeth Berg ; David Page ; Peggy L. Peissig ; Michael Caldwell

【Abstract】:

【Keywords】:

171. A Binary Classification Framework for Two-Stage Multiple Kernel Learning.

【Paper Link】【Pages】:

【Authors】: Abhishek Kumar ; Alexandru Niculescu-Mizil ; Koray Kavukcuoglu ; Hal Daumé III

【Abstract】:

【Keywords】:

172. Learning Invariant Representations with Local Transformations.

【Paper Link】【Pages】:

【Authors】: Kihyuk Sohn ; Honglak Lee

【Abstract】:

【Keywords】:

173. Consistent Multilabel Ranking through Univariate Losses.

【Paper Link】【Pages】:

【Authors】: Krzysztof Dembczynski ; Wojciech Kotlowski ; Eyke Hüllermeier

【Abstract】:

【Keywords】:

174. On the Equivalence between Herding and Conditional Gradient Algorithms.

【Paper Link】【Pages】:

【Authors】: Francis R. Bach ; Simon Lacoste-Julien ; Guillaume Obozinski

【Abstract】:

【Keywords】:

175. Variational Bayesian Inference with Stochastic Search.

【Paper Link】【Pages】:

【Authors】: John William Paisley ; David M. Blei ; Michael I. Jordan

【Abstract】:

【Keywords】:

176. Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering.

【Paper Link】【Pages】:

【Authors】: Gaël Varoquaux ; Alexandre Gramfort ; Bertrand Thirion

【Abstract】:

【Keywords】:

177. Joint Optimization and Variable Selection of High-dimensional Gaussian Processes.

【Paper Link】【Pages】:

【Authors】: Bo Chen ; Rui M. Castro ; Andreas Krause

【Abstract】:

【Keywords】:

178. Large-Scale Feature Learning With Spike-and-Slab Sparse Coding.

【Paper Link】【Pages】:

【Authors】: Ian J. Goodfellow ; Aaron C. Courville ; Yoshua Bengio

【Abstract】:

【Keywords】:

179. Anytime Marginal MAP Inference.

【Paper Link】【Pages】:

【Authors】: Denis Deratani Mauá ; Cassio Polpo de Campos

【Abstract】:

【Keywords】:

180. Distributed Parameter Estimation via Pseudo-likelihood .

【Paper Link】【Pages】:

【Authors】: Qiang Liu ; Alexander T. Ihler

【Abstract】:

【Keywords】:

181. The Nonparametric Metadata Dependent Relational Model.

【Paper Link】【Pages】:

【Authors】: Dae Il Kim ; Michael C. Hughes ; Erik B. Sudderth

【Abstract】:

【Keywords】:

182. Deep Lambertian Networks.

【Paper Link】【Pages】:

【Authors】: Yichuan Tang ; Ruslan Salakhutdinov ; Geoffrey E. Hinton

【Abstract】:

【Keywords】:

183. Convergence of the EM Algorithm for Gaussian Mixtures with Unbalanced Mixing Coefficients.

【Paper Link】【Pages】:

【Authors】: Iftekhar Naim ; Daniel Gildea

【Abstract】:

【Keywords】:

184. A Joint Model of Language and Perception for Grounded Attribute Learning.

【Paper Link】【Pages】:

【Authors】: Cynthia Matuszek ; Nicholas FitzGerald ; Luke S. Zettlemoyer ; Liefeng Bo ; Dieter Fox

【Abstract】:

【Keywords】:

185. Learning Parameterized Skills.

【Paper Link】【Pages】:

【Authors】: Bruno Castro da Silva ; George Konidaris ; Andrew G. Barto

【Abstract】:

【Keywords】:

186. Safe Exploration in Markov Decision Processes .

【Paper Link】【Pages】:

【Authors】: Teodor Mihai Moldovan ; Pieter Abbeel

【Abstract】:

【Keywords】:

187. Improved Estimation in Time Varying Models.

【Paper Link】【Pages】:

【Authors】: Doina Precup ; Philip Bachman

【Abstract】:

【Keywords】:

188. Poisoning Attacks against Support Vector Machines.

【Paper Link】【Pages】:

【Authors】: Battista Biggio ; Blaine Nelson ; Pavel Laskov

【Abstract】:

【Keywords】:

189. Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations.

【Paper Link】【Pages】:

【Authors】: James Neufeld ; Yaoliang Yu ; Xinhua Zhang ; Ryan Kiros ; Dale Schuurmans

【Abstract】:

【Keywords】:

190. Utilizing Static Analysis and Code Generation to Accelerate Neural Networks.

【Paper Link】【Pages】:

【Authors】: Lawrence C. McAfee ; Kunle Olukotun

【Abstract】:

【Keywords】:

191. Similarity Learning for Provably Accurate Sparse Linear Classification.

【Paper Link】【Pages】:

【Authors】: Aurélien Bellet ; Amaury Habrard ; Marc Sebban

【Abstract】:

【Keywords】:

192. Variational Inference in Non-negative Factorial Hidden Markov Models for Efficient Audio Source Separation.

【Paper Link】【Pages】:

【Authors】: Gautham J. Mysore ; Maneesh Sahani

【Abstract】:

【Keywords】:

193. Communications Inspired Linear Discriminant Analysis.

【Paper Link】【Pages】:

【Authors】: Minhua Chen ; William R. Carson ; Miguel R. D. Rodrigues ; Lawrence Carin ; A. Robert Calderbank

【Abstract】:

【Keywords】:

194. Sparse stochastic inference for latent Dirichlet allocation.

【Paper Link】【Pages】:

【Authors】: David M. Mimno ; Matthew D. Hoffman ; David M. Blei

【Abstract】:

【Keywords】:

195. Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure.

【Paper Link】【Pages】:

【Authors】: Hua Ouyang ; Alexander G. Gray

【Abstract】:

【Keywords】:

196. A Convex Feature Learning Formulation for Latent Task Structure Discovery.

【Paper Link】【Pages】:

【Authors】: Pratik Jawanpuria ; J. Saketha Nath

【Abstract】:

【Keywords】:

197. Efficient Decomposed Learning for Structured Prediction.

【Paper Link】【Pages】:

【Authors】: Rajhans Samdani ; Dan Roth

【Abstract】:

【Keywords】:

198. Path Integral Policy Improvement with Covariance Matrix Adaptation.

【Paper Link】【Pages】:

【Authors】: Freek Stulp ; Olivier Sigaud

【Abstract】:

【Keywords】:

199. Optimizing F-measure: A Tale of Two Approaches.

【Paper Link】【Pages】:

【Authors】: Nan Ye ; Kian Ming Adam Chai ; Wee Sun Lee ; Hai Leong Chieu

【Abstract】:

【Keywords】:

200. Efficient Euclidean Projections onto the Intersection of Norm Balls.

【Paper Link】【Pages】:

【Authors】: Adams Wei Yu ; Hao Su ; Fei-Fei Li

【Abstract】:

【Keywords】:

201. Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization.

【Paper Link】【Pages】:

【Authors】: Alexander Rakhlin ; Ohad Shamir ; Karthik Sridharan

【Abstract】:

【Keywords】:

202. Clustering using Max-norm Constrained Optimization.

【Paper Link】【Pages】:

【Authors】: Ali Jalali ; Nathan Srebro

【Abstract】:

【Keywords】:

203. Submodular Inference of Diffusion Networks from Multiple Trees.

【Paper Link】【Pages】:

【Authors】: Manuel Gomez-Rodriguez ; Bernhard Schölkopf

【Abstract】:

【Keywords】:

204. Approximate Dynamic Programming By Minimizing Distributionally Robust Bounds.

【Paper Link】【Pages】:

【Authors】: Marek Petrik

【Abstract】:

【Keywords】:

205. Modelling transition dynamics in MDPs with RKHS embeddings.

【Paper Link】【Pages】:

【Authors】: Steffen Grünewälder ; Guy Lever ; Luca Baldassarre ; Massimiliano Pontil ; Arthur Gretton

【Abstract】:

【Keywords】:

206. Approximate Principal Direction Trees.

【Paper Link】【Pages】:

【Authors】: Mark McCartin-Lim ; Andrew McGregor ; Rui Wang

【Abstract】:

【Keywords】:

207. Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation.

【Paper Link】【Pages】:

【Authors】: Kendrick Boyd ; Jesse Davis ; David Page ; Vítor Santos Costa

【Abstract】:

【Keywords】:

208. Marginalized Denoising Autoencoders for Domain Adaptation.

【Paper Link】【Pages】:

【Authors】: Minmin Chen ; Zhixiang Eddie Xu ; Kilian Q. Weinberger ; Fei Sha

【Abstract】:

【Keywords】:

209. Copula-based Kernel Dependency Measures.

【Paper Link】【Pages】:

【Authors】: Barnabás Póczos ; Zoubin Ghahramani ; Jeff G. Schneider

【Abstract】:

【Keywords】:

210. Group Sparse Additive Models.

【Paper Link】【Pages】:

【Authors】: Junming Yin ; Xi Chen ; Eric P. Xing

【Abstract】:

【Keywords】:

【Paper Link】【Pages】:

【Authors】: Dotan Di Castro ; Aviv Tamar ; Shie Mannor

【Abstract】:

【Keywords】:

212. Efficient Structured Prediction with Latent Variables for General Graphical Models.

【Paper Link】【Pages】:

【Authors】: Alexander G. Schwing ; Tamir Hazan ; Marc Pollefeys ; Raquel Urtasun

【Abstract】:

【Keywords】:

213. On the Partition Function and Random Maximum A-Posteriori Perturbations.

【Paper Link】【Pages】:

【Authors】: Tamir Hazan ; Tommi S. Jaakkola

【Abstract】:

【Keywords】:

214. Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis.

【Paper Link】【Pages】:

【Authors】: Zenglin Xu ; Feng Yan ; Alan Qi

【Abstract】:

【Keywords】:

215. Inferring Latent Structure From Mixed Real and Categorical Relational Data.

【Paper Link】【Pages】:

【Authors】: Esther Salazar ; Lawrence Carin

【Abstract】:

【Keywords】:

216. Bayesian Conditional Cointegration.

【Paper Link】【Pages】:

【Authors】: Chris Bracegirdle ; David Barber

【Abstract】:

【Keywords】:

217. Online Alternating Direction Method.

【Paper Link】【Pages】:

【Authors】: Huahua Wang ; Arindam Banerjee

【Abstract】:

【Keywords】:

218. On the Sample Complexity of Reinforcement Learning with a Generative Model .

【Paper Link】【Pages】:

【Authors】: Mohammad Gheshlaghi Azar ; Rémi Munos ; Bert Kappen

【Abstract】:

【Keywords】:

219. Convergence Rates for Differentially Private Statistical Estimation.

【Paper Link】【Pages】:

【Authors】: Kamalika Chaudhuri ; Daniel J. Hsu

【Abstract】:

【Keywords】:

220. Learning Task Grouping and Overlap in Multi-task Learning.

【Paper Link】【Pages】:

【Authors】: Abhishek Kumar ; Hal Daumé III

【Abstract】:

【Keywords】:

221. High Dimensional Semiparametric Gaussian Copula Graphical Models.

【Paper Link】【Pages】:

【Authors】: Han Liu ; Fang Han ; Ming Yuan ; John D. Lafferty ; Larry A. Wasserman

【Abstract】:

【Keywords】:

222. Discovering Support and Affiliated Features from Very High Dimensions.

【Paper Link】【Pages】:

【Authors】: Yiteng Zhai ; Mingkui Tan ; Ivor W. Tsang ; Yew-Soon Ong

【Abstract】:

【Keywords】:

223. Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret.

【Paper Link】【Pages】:

【Authors】: Ofer Dekel ; Ambuj Tewari ; Raman Arora

【Abstract】:

【Keywords】:

224. Statistical linear estimation with penalized estimators: an application to reinforcement learning.

【Paper Link】【Pages】:

【Authors】: Bernardo Avila Pires ; Csaba Szepesvári

【Abstract】:

【Keywords】:

225. Large Scale Variational Bayesian Inference for Structured Scale Mixture Models.

【Paper Link】【Pages】:

【Authors】: Young Jun Ko ; Matthias W. Seeger

【Abstract】:

【Keywords】:

226. Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring.

【Paper Link】【Pages】:

【Authors】: Sungjin Ahn ; Anoop Korattikara Balan ; Max Welling

【Abstract】:

【Keywords】:

227. An adaptive algorithm for finite stochastic partial monitoring.

【Paper Link】【Pages】:

【Authors】: Gábor Bartók ; Navid Zolghadr ; Csaba Szepesvári

【Abstract】:

【Keywords】:

228. The Big Data Bootstrap.

【Paper Link】【Pages】:

【Authors】: Ariel Kleiner ; Ameet Talwalkar ; Purnamrita Sarkar ; Michael I. Jordan

【Abstract】:

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229. Predicting Consumer Behavior in Commerce Search.

【Paper Link】【Pages】:

【Authors】: Or Sheffet ; Nina Mishra ; Samuel Ieong

【Abstract】:

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230. Conditional mean embeddings as regressors.

【Paper Link】【Pages】:

【Authors】: Steffen Grünewälder ; Guy Lever ; Arthur Gretton ; Luca Baldassarre ; Sam Patterson ; Massimiliano Pontil

【Abstract】:

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231. A Generative Process for Contractive Auto-Encoders.

【Paper Link】【Pages】:

【Authors】: Salah Rifai ; Yann Dauphin ; Pascal Vincent ; Yoshua Bengio

【Abstract】:

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232. Local Loss Optimization in Operator Models: A New Insight into Spectral Learning.

【Paper Link】【Pages】:

【Authors】: Borja Balle ; Ariadna Quattoni ; Xavier Carreras

【Abstract】:

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233. Robust PCA in High-dimension: A Deterministic Approach.

【Paper Link】【Pages】:

【Authors】: Jiashi Feng ; Huan Xu ; Shuicheng Yan

【Abstract】:

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234. Complexity Analysis of the Lasso Regularization Path.

【Paper Link】【Pages】:

【Authors】: Julien Mairal ; Bin Yu

【Abstract】:

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235. Projection-free Online Learning.

【Paper Link】【Pages】:

【Authors】: Elad Hazan ; Satyen Kale

【Abstract】:

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236. Machine Learning that Matters.

【Paper Link】【Pages】:

【Authors】: Kiri Wagstaff

【Abstract】:

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237. Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers.

【Paper Link】【Pages】:

【Authors】: Clément Farabet ; Camille Couprie ; Laurent Najman ; Yann LeCun

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238. Linear Regression with Limited Observation.

【Paper Link】【Pages】:

【Authors】: Elad Hazan ; Tomer Koren

【Abstract】:

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239. An Online Boosting Algorithm with Theoretical Justifications.

【Paper Link】【Pages】:

【Authors】: Shang-Tse Chen ; Hsuan-Tien Lin ; Chi-Jen Lu

【Abstract】:

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240. Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription.

【Paper Link】【Pages】:

【Authors】: Nicolas Boulanger-Lewandowski ; Yoshua Bengio ; Pascal Vincent

【Abstract】:

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241. Approximate Modified Policy Iteration.

【Paper Link】【Pages】:

【Authors】: Bruno Scherrer ; Victor Gabillon ; Mohammad Ghavamzadeh ; Matthieu Geist

【Abstract】:

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242. Nonparametric Link Prediction in Dynamic Networks.

【Paper Link】【Pages】:

【Authors】: Purnamrita Sarkar ; Deepayan Chakrabarti ; Michael I. Jordan

【Abstract】:

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243. Agnostic System Identification for Model-Based Reinforcement Learning.

【Paper Link】【Pages】:

【Authors】: Stéphane Ross ; Drew Bagnell

【Abstract】:

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