28. ICML 2011:Bellevue, Washington, USA

Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011. Omnipress 【DBLP Link】

Paper Num: 152 || Session Num: 0

1. Hashing with Graphs.

【Paper Link】 【Pages】:1-8

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

【Abstract】:

【Keywords】:

2. Efficient Sparse Modeling with Automatic Feature Grouping.

【Paper Link】 【Pages】:9-16

【Authors】: Wenliang Zhong ; James T. Kwok

【Abstract】:

【Keywords】:

3. MultiLabel Classification on Tree- and DAG-Structured Hierarchies.

【Paper Link】 【Pages】:17-24

【Authors】: Wei Bi ; James T. Kwok

【Abstract】:

【Keywords】:

4. A Graphbased Framework for Multi-Task Multi-View Learning.

【Paper Link】 【Pages】:25-32

【Authors】: Jingrui He ; Rick Lawrence

【Abstract】:

【Keywords】:

5. GoDec: Randomized Lowrank & Sparse Matrix Decomposition in Noisy Case.

【Paper Link】 【Pages】:33-40

【Authors】: Tianyi Zhou ; Dacheng Tao

【Abstract】:

【Keywords】:

6. Unimodal Bandits.

【Paper Link】 【Pages】:41-48

【Authors】: Jia Yuan Yu ; Shie Mannor

【Abstract】:

【Keywords】:

7. Learning Output Kernels with Block Coordinate Descent.

【Paper Link】 【Pages】:49-56

【Authors】: Francesco Dinuzzo ; Cheng Soon Ong ; Peter V. Gehler ; Gianluigi Pillonetto

【Abstract】:

【Keywords】:

8. Vector-valued Manifold Regularization.

【Paper Link】 【Pages】:57-64

【Authors】: Ha Quang Minh ; Vikas Sindhwani

【Abstract】:

【Keywords】:

9. On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution.

【Paper Link】 【Pages】:65-72

【Authors】: Masashi Sugiyama ; Makoto Yamada ; Manabu Kimura ; Hirotaka Hachiya

【Abstract】:

【Keywords】:

10. On tracking portfolios with certainty equivalents on a generalization of Markowitz model: the Fool, the Wise and the Adaptive.

【Paper Link】 【Pages】:73-80

【Authors】: Richard Nock ; Brice Magdalou ; Eric Briys ; Frank Nielsen

【Abstract】:

【Keywords】:

11. Multiple Instance Learning with Manifold Bags.

【Paper Link】 【Pages】:81-88

【Authors】: Boris Babenko ; Nakul Verma ; Piotr Dollár ; Serge J. Belongie

【Abstract】:

【Keywords】:

12. Eigenvalue Sensitive Feature Selection.

【Paper Link】 【Pages】:89-96

【Authors】: Yi Jiang ; Jiangtao Ren

【Abstract】:

【Keywords】:

13. Large Scale Text Classification using Semisupervised Multinomial Naive Bayes.

【Paper Link】 【Pages】:97-104

【Authors】: Jiang Su ; Jelber Sayyad Shirab ; Stan Matwin

【Abstract】:

【Keywords】:

14. Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines.

【Paper Link】 【Pages】:105-112

【Authors】: KyungHyun Cho ; Tapani Raiko ; Alexander Ilin

【Abstract】:

【Keywords】:

15. Dynamic Tree Block Coordinate Ascent.

【Paper Link】 【Pages】:113-120

【Authors】: Daniel Tarlow ; Dhruv Batra ; Pushmeet Kohli ; Vladimir Kolmogorov

【Abstract】:

【Keywords】:

16. Implementing regularization implicitly via approximate eigenvector computation.

【Paper Link】 【Pages】:121-128

【Authors】: Michael W. Mahoney ; Lorenzo Orecchia

【Abstract】:

【Keywords】:

17. Parsing Natural Scenes and Natural Language with Recursive Neural Networks.

【Paper Link】 【Pages】:129-136

【Authors】: Richard Socher ; Cliff Chiung-Yu Lin ; Andrew Y. Ng ; Christopher D. Manning

【Abstract】:

【Keywords】:

18. Conjugate Markov Decision Processes.

【Paper Link】 【Pages】:137-144

【Authors】: Philip S. Thomas ; Andrew G. Barto

【Abstract】:

【Keywords】:

19. Learning Mallows Models with Pairwise Preferences.

【Paper Link】 【Pages】:145-152

【Authors】: Tyler Lu ; Craig Boutilier

【Abstract】:

【Keywords】:

20. Surrogate losses and regret bounds for cost-sensitive classification with example-dependent costs.

【Paper Link】 【Pages】:153-160

【Authors】: Clayton Scott

【Abstract】:

【Keywords】:

21. Efficient Rule Ensemble Learning using Hierarchical Kernels.

【Paper Link】 【Pages】:161-168

【Authors】: Pratik Jawanpuria ; Jagarlapudi Saketha Nath ; Ganesh Ramakrishnan

【Abstract】:

【Keywords】:

22. An Augmented Lagrangian Approach to Constrained MAP Inference.

【Paper Link】 【Pages】:169-176

【Authors】: André F. T. Martins ; Mário A. T. Figueiredo ; Pedro M. Q. Aguiar ; Noah A. Smith ; Eric P. Xing

【Abstract】:

【Keywords】:

23. Mean-Variance Optimization in Markov Decision Processes.

【Paper Link】 【Pages】:177-184

【Authors】: Shie Mannor ; John N. Tsitsiklis

【Abstract】:

【Keywords】:

24. Time Series Clustering: Complex is Simpler!

【Paper Link】 【Pages】:185-192

【Authors】: Lei Li ; B. Aditya Prakash

【Abstract】:

【Keywords】:

25. Max-margin Learning for Lower Linear Envelope Potentials in Binary Markov Random Fields.

【Paper Link】 【Pages】:193-200

【Authors】: Stephen Gould

【Abstract】:

【Keywords】:

26. Inference of Inversion Transduction Grammars.

【Paper Link】 【Pages】:201-208

【Authors】: Alexander Clark

【Abstract】:

【Keywords】:

27. BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent.

【Paper Link】 【Pages】:209-216

【Authors】: Enliang Hu ; Bo Wang ; Songcan Chen

【Abstract】:

【Keywords】:

28. Learning Discriminative Fisher Kernels.

【Paper Link】 【Pages】:217-224

【Authors】: Laurens van der Maaten

【Abstract】:

【Keywords】:

29. Pruning nearest neighbor cluster trees.

【Paper Link】 【Pages】:225-232

【Authors】: Samory Kpotufe ; Ulrike von Luxburg

【Abstract】:

【Keywords】:

30. Online AUC Maximization.

【Paper Link】 【Pages】:233-240

【Authors】: Peilin Zhao ; Steven C. H. Hoi ; Rong Jin ; Tianbao Yang

【Abstract】:

【Keywords】:

31. Beat the Mean Bandit.

【Paper Link】 【Pages】:241-248

【Authors】: Yisong Yue ; Thorsten Joachims

【Abstract】:

【Keywords】:

32. Ultra-Fast Optimization Algorithm for Sparse Multi Kernel Learning.

【Paper Link】 【Pages】:249-256

【Authors】: Francesco Orabona ; Jie Luo

【Abstract】:

【Keywords】:

33. Estimating the Bayes Point Using Linear Knapsack Problems.

【Paper Link】 【Pages】:257-264

【Authors】: Brian Potetz

【Abstract】:

【Keywords】:

34. On optimization methods for deep learning.

【Paper Link】 【Pages】:265-272

【Authors】: Quoc V. Le ; Jiquan Ngiam ; Adam Coates ; Ahbik Lahiri ; Bobby Prochnow ; Andrew Y. Ng

【Abstract】:

【Keywords】:

35. Multiclass Classification with Bandit Feedback using Adaptive Regularization.

【Paper Link】 【Pages】:273-280

【Authors】: Koby Crammer ; Claudio Gentile

【Abstract】:

【Keywords】:

36. On the Necessity of Irrelevant Variables.

【Paper Link】 【Pages】:281-288

【Authors】: David P. Helmbold ; Philip M. Long

【Abstract】:

【Keywords】:

37. ABC-EP: Expectation Propagation for Likelihoodfree Bayesian Computation.

【Paper Link】 【Pages】:289-296

【Authors】: Simon Barthelmé ; Nicolas Chopin

【Abstract】:

【Keywords】:

38. A PAC-Bayes Sample-compression Approach to Kernel Methods.

【Paper Link】 【Pages】:297-304

【Authors】: Pascal Germain ; Alexandre Lacoste ; François Laviolette ; Mario Marchand ; Sara Shanian

【Abstract】:

【Keywords】:

39. Integrating Partial Model Knowledge in Model Free RL Algorithms.

【Paper Link】 【Pages】:305-312

【Authors】: Aviv Tamar ; Dotan Di Castro ; Ron Meir

【Abstract】:

【Keywords】:

40. Fast Newton-type Methods for Total Variation Regularization.

【Paper Link】 【Pages】:313-320

【Authors】: Álvaro Barbero Jiménez ; Suvrit Sra

【Abstract】:

【Keywords】:

41. Parallel Coordinate Descent for L1-Regularized Loss Minimization.

【Paper Link】 【Pages】:321-328

【Authors】: Joseph K. Bradley ; Aapo Kyrola ; Danny Bickson ; Carlos Guestrin

【Abstract】:

【Keywords】:

42. Large-Scale Convex Minimization with a Low-Rank Constraint.

【Paper Link】 【Pages】:329-336

【Authors】: Shai Shalev-Shwartz ; Alon Gonen ; Ohad Shamir

【Abstract】:

【Keywords】:

43. Approximate Dynamic Programming for Storage Problems.

【Paper Link】 【Pages】:337-344

【Authors】: Lauren Hannah ; David B. Dunson

【Abstract】:

【Keywords】:

44. Online Submodular Minimization for Combinatorial Structures.

【Paper Link】 【Pages】:345-352

【Authors】: Stefanie Jegelka ; Jeff A. Bilmes

【Abstract】:

【Keywords】:

45. Minimal Loss Hashing for Compact Binary Codes.

【Paper Link】 【Pages】:353-360

【Authors】: Mohammad Norouzi ; David J. Fleet

【Abstract】:

【Keywords】:

46. The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning.

【Paper Link】 【Pages】:361-368

【Authors】: Bo Chen ; Gungor Polatkan ; Guillermo Sapiro ; David B. Dunson ; Lawrence Carin

【Abstract】:

【Keywords】:

47. Simultaneous Learning and Covering with Adversarial Noise.

【Paper Link】 【Pages】:369-376

【Authors】: Andrew Guillory ; Jeff A. Bilmes

【Abstract】:

【Keywords】:

48. Topic Modeling with Nonparametric Markov Tree.

【Paper Link】 【Pages】:377-384

【Authors】: Haojun Chen ; David B. Dunson ; Lawrence Carin

【Abstract】:

【Keywords】:

49. Relational Active Learning for Joint Collective Classification Models.

【Paper Link】 【Pages】:385-392

【Authors】: Ankit Kuwadekar ; Jennifer Neville

【Abstract】:

【Keywords】:

50. A Co-training Approach for Multi-view Spectral Clustering.

【Paper Link】 【Pages】:393-400

【Authors】: Abhishek Kumar ; Hal Daumé III

【Abstract】:

【Keywords】:

51. Learning from Multiple Outlooks.

【Paper Link】 【Pages】:401-408

【Authors】: Maayan Harel ; Shie Mannor

【Abstract】:

【Keywords】:

52. Adaptive Kernel Approximation for Large-Scale Non-Linear SVM Prediction.

【Paper Link】 【Pages】:409-416

【Authors】: Michele Cossalter ; Rong Yan ; Lu Zheng

【Abstract】:

【Keywords】:

53. Risk-Based Generalizations of f-divergences.

【Paper Link】 【Pages】:417-424

【Authors】: Dario García-García ; Ulrike von Luxburg ; Raúl Santos-Rodríguez

【Abstract】:

【Keywords】:

54. Learning Multi-View Neighborhood Preserving Projections.

【Paper Link】 【Pages】:425-432

【Authors】: Novi Quadrianto ; Christoph H. Lampert

【Abstract】:

【Keywords】:

55. Better Algorithms for Selective Sampling.

【Paper Link】 【Pages】:433-440

【Authors】: Francesco Orabona ; Nicolò Cesa-Bianchi

【Abstract】:

【Keywords】:

56. Minimax Learning Rates for Bipartite Ranking and Plug-in Rules.

【Paper Link】 【Pages】:441-448

【Authors】: Sylvain Robbiano ; Stéphan Clémençon

【Abstract】:

【Keywords】:

57. Task Space Retrieval Using Inverse Feedback Control.

【Paper Link】 【Pages】:449-456

【Authors】: Nikolay Jetchev ; Marc Toussaint

【Abstract】:

【Keywords】:

58. Bayesian CCA via Group Sparsity.

【Paper Link】 【Pages】:457-464

【Authors】: Seppo Virtanen ; Arto Klami ; Samuel Kaski

【Abstract】:

【Keywords】:

59. PILCO: A Model-Based and Data-Efficient Approach to Policy Search.

【Paper Link】 【Pages】:465-472

【Authors】: Marc Peter Deisenroth ; Carl Edward Rasmussen

【Abstract】:

【Keywords】:

60. Suboptimal Solution Path Algorithm for Support Vector Machine.

【Paper Link】 【Pages】:473-480

【Authors】: Masayuki Karasuyama ; Ichiro Takeuchi

【Abstract】:

【Keywords】:

61. Incremental Basis Construction from Temporal Difference Error.

【Paper Link】 【Pages】:481-488

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

【Abstract】:

【Keywords】:

62. Predicting Legislative Roll Calls from Text.

【Paper Link】 【Pages】:489-496

【Authors】: Sean Gerrish ; David M. Blei

【Abstract】:

【Keywords】:

63. On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution.

【Paper Link】 【Pages】:497-504

【Authors】: Shinichi Nakajima ; Masashi Sugiyama ; S. Derin Babacan

【Abstract】:

【Keywords】:

64. Learning Linear Functions with Quadratic and Linear Multiplicative Updates.

【Paper Link】 【Pages】:505-512

【Authors】: Tom Bylander

【Abstract】:

【Keywords】:

65. Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach.

【Paper Link】 【Pages】:513-520

【Authors】: Xavier Glorot ; Antoine Bordes ; Yoshua Bengio

【Abstract】:

【Keywords】:

66. Learning with Whom to Share in Multi-task Feature Learning.

【Paper Link】 【Pages】:521-528

【Authors】: Zhuoliang Kang ; Kristen Grauman ; Fei Sha

【Abstract】:

【Keywords】:

67. Boosting on a Budget: Sampling for Feature-Efficient Prediction.

【Paper Link】 【Pages】:529-536

【Authors】: Lev Reyzin

【Abstract】:

【Keywords】:

68. Speeding-Up Hoeffding-Based Regression Trees With Options.

【Paper Link】 【Pages】:537-544

【Authors】: Elena Ikonomovska ; João Gama ; Bernard Zenko ; Saso Dzeroski

【Abstract】:

【Keywords】:

69. Linear Regression under Fixed-Rank Constraints: A Riemannian Approach.

【Paper Link】 【Pages】:545-552

【Authors】: Gilles Meyer ; Silvere Bonnabel ; Rodolphe Sepulchre

【Abstract】:

【Keywords】:

70. Cauchy Graph Embedding.

【Paper Link】 【Pages】:553-560

【Authors】: Dijun Luo ; Chris H. Q. Ding ; Feiping Nie ; Heng Huang

【Abstract】:

【Keywords】:

71. Uncovering the Temporal Dynamics of Diffusion Networks.

【Paper Link】 【Pages】:561-568

【Authors】: Manuel Gomez-Rodriguez ; David Balduzzi ; Bernhard Schölkopf

【Abstract】:

【Keywords】:

72. Multiclass Boosting with Hinge Loss based on Output Coding.

【Paper Link】 【Pages】:569-576

【Authors】: Tianshi Gao ; Daphne Koller

【Abstract】:

【Keywords】:

73. Approximation Bounds for Inference using Cooperative Cuts.

【Paper Link】 【Pages】:577-584

【Authors】: Stefanie Jegelka ; Jeff A. Bilmes

【Abstract】:

【Keywords】:

74. Brier Curves: a New Cost-Based Visualisation of Classifier Performance.

【Paper Link】 【Pages】:585-592

【Authors】: José Hernández-Orallo ; Peter A. Flach ; Cèsar Ferri Ramirez

【Abstract】:

【Keywords】:

【Paper Link】 【Pages】:593-600

【Authors】: Céline Brouard ; Florence d'Alché-Buc ; Marie Szafranski

【Abstract】:

【Keywords】:

76. A New Bayesian Rating System for Team Competitions.

【Paper Link】 【Pages】:601-608

【Authors】: Sergey I. Nikolenko ; Alexander Sirotkin

【Abstract】:

【Keywords】:

77. OptiML: An Implicitly Parallel Domain-Specific Language for Machine Learning.

【Paper Link】 【Pages】:609-616

【Authors】: Arvind K. Sujeeth ; HyoukJoong Lee ; Kevin J. Brown ; Tiark Rompf ; Hassan Chafi ; Michael Wu ; Anand R. Atreya ; Martin Odersky ; Kunle Olukotun

【Abstract】:

【Keywords】:

78. Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines.

【Paper Link】 【Pages】:617-624

【Authors】: Jun Zhu ; Ning Chen ; Eric P. Xing

【Abstract】:

【Keywords】:

79. On the Integration of Topic Modeling and Dictionary Learning.

【Paper Link】 【Pages】:625-632

【Authors】: Lingbo Li ; Mingyuan Zhou ; Guillermo Sapiro ; Lawrence Carin

【Abstract】:

【Keywords】:

80. Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models.

【Paper Link】 【Pages】:633-640

【Authors】: Benjamin M. Marlin ; Mohammad Emtiyaz Khan ; Kevin P. Murphy

【Abstract】:

【Keywords】:

81. Access to Unlabeled Data can Speed up Prediction Time.

【Paper Link】 【Pages】:641-648

【Authors】: Ruth Urner ; Shai Shalev-Shwartz ; Shai Ben-David

【Abstract】:

【Keywords】:

82. From PAC-Bayes Bounds to Quadratic Programs for Majority Votes.

【Paper Link】 【Pages】:649-656

【Authors】: Jean-Francis Roy ; François Laviolette ; Mario Marchand

【Abstract】:

【Keywords】:

83. A Coherent Interpretation of AUC as a Measure of Aggregated Classification Performance.

【Paper Link】 【Pages】:657-664

【Authors】: Peter A. Flach ; José Hernández-Orallo ; Cèsar Ferri Ramirez

【Abstract】:

【Keywords】:

84. Support Vector Machines as Probabilistic Models.

【Paper Link】 【Pages】:665-672

【Authors】: Vojtech Franc ; Alexander Zien ; Bernhard Schölkopf

【Abstract】:

【Keywords】:

85. Adaptively Learning the Crowd Kernel.

【Paper Link】 【Pages】:673-680

【Authors】: Omer Tamuz ; Ce Liu ; Serge J. Belongie ; Ohad Shamir ; Adam Kalai

【Abstract】:

【Keywords】:

86. Bayesian Learning via Stochastic Gradient Langevin Dynamics.

【Paper Link】 【Pages】:681-688

【Authors】: Max Welling ; Yee Whye Teh

【Abstract】:

【Keywords】:

87. Multimodal Deep Learning.

【Paper Link】 【Pages】:689-696

【Authors】: Jiquan Ngiam ; Aditya Khosla ; Mingyu Kim ; Juhan Nam ; Honglak Lee ; Andrew Y. Ng

【Abstract】:

【Keywords】:

88. On the Robustness of Kernel Density M-Estimators.

【Paper Link】 【Pages】:697-704

【Authors】: JooSeuk Kim ; Clayton D. Scott

【Abstract】:

【Keywords】:

【Paper Link】 【Pages】:705-712

【Authors】: Piyush Rai ; Hal Daumé III

【Abstract】:

【Keywords】:

90. Optimal Distributed Online Prediction.

【Paper Link】 【Pages】:713-720

【Authors】: Ofer Dekel ; Ran Gilad-Bachrach ; Ohad Shamir ; Lin Xiao

【Abstract】:

【Keywords】:

91. Message Passing Algorithms for the Dirichlet Diffusion Tree.

【Paper Link】 【Pages】:721-728

【Authors】: David A. Knowles ; Jurgen Van Gael ; Zoubin Ghahramani

【Abstract】:

【Keywords】:

92. Convex Max-Product over Compact Sets for Protein Folding.

【Paper Link】 【Pages】:729-736

【Authors】: Jian Peng ; Tamir Hazan ; David A. McAllester ; Raquel Urtasun

【Abstract】:

【Keywords】:

93. Structure Learning in Ergodic Factored MDPs without Knowledge of the Transition Function's In-Degree.

【Paper Link】 【Pages】:737-744

【Authors】: Doran Chakraborty ; Peter Stone

【Abstract】:

【Keywords】:

94. Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties.

【Paper Link】 【Pages】:745-752

【Authors】: Toby Hocking ; Jean-Philippe Vert ; Francis R. Bach ; Armand Joulin

【Abstract】:

【Keywords】:

95. Tree preserving embedding.

【Paper Link】 【Pages】:753-760

【Authors】: Albert Shieh ; Tatsunori B. Hashimoto ; Edoardo M. Airoldi

【Abstract】:

【Keywords】:

96. Clustering by Left-Stochastic Matrix Factorization.

【Paper Link】 【Pages】:761-768

【Authors】: Raman Arora ; Maya R. Gupta ; Amol Kapila ; Maryam Fazel

【Abstract】:

【Keywords】:

97. The Infinite Regionalized Policy Representation.

【Paper Link】 【Pages】:769-776

【Authors】: Miao Liu ; Xuejun Liao ; Lawrence Carin

【Abstract】:

【Keywords】:

98. SampleRank: Training Factor Graphs with Atomic Gradients.

【Paper Link】 【Pages】:777-784

【Authors】: Michael L. Wick ; Khashayar Rohanimanesh ; Kedar Bellare ; Aron Culotta ; Andrew McCallum

【Abstract】:

【Keywords】:

99. Tree-Structured Infinite Sparse Factor Model.

【Paper Link】 【Pages】:785-792

【Authors】: XianXing Zhang ; David B. Dunson ; Lawrence Carin

【Abstract】:

【Keywords】:

100. Preserving Personalized Pagerank in Subgraphs.

【Paper Link】 【Pages】:793-800

【Authors】: Andrea Vattani ; Deepayan Chakrabarti ; Maxim Gurevich

【Abstract】:

【Keywords】:

101. Hierarchical Classification via Orthogonal Transfer.

【Paper Link】 【Pages】:801-808

【Authors】: Lin Xiao ; Dengyong Zhou ; Mingrui Wu

【Abstract】:

【Keywords】:

102. A Three-Way Model for Collective Learning on Multi-Relational Data.

【Paper Link】 【Pages】:809-816

【Authors】: Maximilian Nickel ; Volker Tresp ; Hans-Peter Kriegel

【Abstract】:

【Keywords】:

【Paper Link】 【Pages】:817-824

【Authors】: Gerhard Neumann

【Abstract】:

【Keywords】:

104. Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision.

【Paper Link】 【Pages】:825-832

【Authors】: David Buffoni ; Clément Calauzènes ; Patrick Gallinari ; Nicolas Usunier

【Abstract】:

【Keywords】:

105. Contractive Auto-Encoders: Explicit Invariance During Feature Extraction.

【Paper Link】 【Pages】:833-840

【Authors】: Salah Rifai ; Pascal Vincent ; Xavier Muller ; Xavier Glorot ; Yoshua Bengio

【Abstract】:

【Keywords】:

106. Variational Heteroscedastic Gaussian Process Regression.

【Paper Link】 【Pages】:841-848

【Authors】: Miguel Lázaro-Gredilla ; Michalis K. Titsias

【Abstract】:

【Keywords】:

107. Bounding the Partition Function using Holder's Inequality.

【Paper Link】 【Pages】:849-856

【Authors】: Qiang Liu ; Alexander T. Ihler

【Abstract】:

【Keywords】:

108. Dynamic Egocentric Models for Citation Networks.

【Paper Link】 【Pages】:857-864

【Authors】: Duy Quang Vu ; Arthur U. Asuncion ; David R. Hunter ; Padhraic Smyth

【Abstract】:

【Keywords】:

109. The Constrained Weight Space SVM: Learning with Ranked Features.

【Paper Link】 【Pages】:865-872

【Authors】: Kevin Small ; Byron C. Wallace ; Carla E. Brodley ; Thomas A. Trikalinos

【Abstract】:

【Keywords】:

110. Robust Matrix Completion and Corrupted Columns.

【Paper Link】 【Pages】:873-880

【Authors】: Yudong Chen ; Huan Xu ; Constantine Caramanis ; Sujay Sanghavi

【Abstract】:

【Keywords】:

111. Online Discovery of Feature Dependencies.

【Paper Link】 【Pages】:881-888

【Authors】: Alborz Geramifard ; Finale Doshi ; Josh Redding ; Nicholas Roy ; Jonathan P. How

【Abstract】:

【Keywords】:

112. Variational Inference for Stick-Breaking Beta Process Priors.

【Paper Link】 【Pages】:889-896

【Authors】: John William Paisley ; Lawrence Carin ; David M. Blei

【Abstract】:

【Keywords】:

113. Apprenticeship Learning About Multiple Intentions.

【Paper Link】 【Pages】:897-904

【Authors】: Monica Babes ; Vukosi N. Marivate ; Kaushik Subramanian ; Michael L. Littman

【Abstract】:

【Keywords】:

114. Minimum Probability Flow Learning.

【Paper Link】 【Pages】:905-912

【Authors】: Jascha Sohl-Dickstein ; Peter Battaglino ; Michael R. DeWeese

【Abstract】:

【Keywords】:

115. Infinite Dynamic Bayesian Networks.

【Paper Link】 【Pages】:913-920

【Authors】: Finale Doshi ; David Wingate ; Joshua B. Tenenbaum ; Nicholas Roy

【Abstract】:

【Keywords】:

116. The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization.

【Paper Link】 【Pages】:921-928

【Authors】: Adam Coates ; Andrew Y. Ng

【Abstract】:

【Keywords】:

117. Fast Global Alignment Kernels.

【Paper Link】 【Pages】:929-936

【Authors】: Marco Cuturi

【Abstract】:

【Keywords】:

118. Learning attentional policies for tracking and recognition in video with deep networks.

【Paper Link】 【Pages】:937-944

【Authors】: Loris Bazzani ; Nando de Freitas ; Hugo Larochelle ; Vittorio Murino ; Jo-Anne Ting

【Abstract】:

【Keywords】:

119. Large-Scale Learning of Embeddings with Reconstruction Sampling.

【Paper Link】 【Pages】:945-952

【Authors】: Yann Dauphin ; Xavier Glorot ; Yoshua Bengio

【Abstract】:

【Keywords】:

120. Automatic Feature Decomposition for Single View Co-training.

【Paper Link】 【Pages】:953-960

【Authors】: Minmin Chen ; Kilian Q. Weinberger ; Yixin Chen

【Abstract】:

【Keywords】:

121. Mapping kernels for trees.

【Paper Link】 【Pages】:961-968

【Authors】: Kilho Shin ; Marco Cuturi ; Tetsuji Kuboyama

【Abstract】:

【Keywords】:

122. Stochastic Low-Rank Kernel Learning for Regression.

【Paper Link】 【Pages】:969-976

【Authors】: Pierre Machart ; Thomas Peel ; Sandrine Anthoine ; Liva Ralaivola ; Hervé Glotin

【Abstract】:

【Keywords】:

123. Size-constrained Submodular Minimization through Minimum Norm Base.

【Paper Link】 【Pages】:977-984

【Authors】: Kiyohito Nagano ; Yoshinobu Kawahara ; Kazuyuki Aihara

【Abstract】:

【Keywords】:

124. Locally Linear Support Vector Machines.

【Paper Link】 【Pages】:985-992

【Authors】: Lubor Ladicky ; Philip H. S. Torr

【Abstract】:

【Keywords】:

125. Functional Regularized Least Squares Classication with Operator-valued Kernels.

【Paper Link】 【Pages】:993-1000

【Authors】: Hachem Kadri ; Asma Rabaoui ; Philippe Preux ; Emmanuel Duflos ; Alain Rakotomamonjy

【Abstract】:

【Keywords】:

126. Clustering Partially Observed Graphs via Convex Optimization.

【Paper Link】 【Pages】:1001-1008

【Authors】: Ali Jalali ; Yudong Chen ; Sujay Sanghavi ; Huan Xu

【Abstract】:

【Keywords】:

127. On the Use of Variational Inference for Learning Discrete Graphical Model.

【Paper Link】 【Pages】:1009-1016

【Authors】: Eunho Yang ; Pradeep Ravikumar

【Abstract】:

【Keywords】:

128. Generating Text with Recurrent Neural Networks.

【Paper Link】 【Pages】:1017-1024

【Authors】: Ilya Sutskever ; James Martens ; Geoffrey E. Hinton

【Abstract】:

【Keywords】:

129. Probabilistic Matrix Addition.

【Paper Link】 【Pages】:1025-1032

【Authors】: Amrudin Agovic ; Arindam Banerjee ; Snigdhansu Chatterjee

【Abstract】:

【Keywords】:

130. Learning Recurrent Neural Networks with Hessian-Free Optimization.

【Paper Link】 【Pages】:1033-1040

【Authors】: James Martens ; Ilya Sutskever

【Abstract】:

【Keywords】:

131. Sparse Additive Generative Models of Text.

【Paper Link】 【Pages】:1041-1048

【Authors】: Jacob Eisenstein ; Amr Ahmed ; Eric P. Xing

【Abstract】:

【Keywords】:

132. Classification-based Policy Iteration with a Critic.

【Paper Link】 【Pages】:1049-1056

【Authors】: Victor Gabillon ; Alessandro Lazaric ; Mohammad Ghavamzadeh ; Bruno Scherrer

【Abstract】:

【Keywords】:

133. Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection.

【Paper Link】 【Pages】:1057-1064

【Authors】: Abhimanyu Das ; David Kempe

【Abstract】:

【Keywords】:

134. A Spectral Algorithm for Latent Tree Graphical Models.

【Paper Link】 【Pages】:1065-1072

【Authors】: Ankur P. Parikh ; Le Song ; Eric P. Xing

【Abstract】:

【Keywords】:

135. A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection.

【Paper Link】 【Pages】:1073-1080

【Authors】: Yue Guan ; Jennifer G. Dy ; Michael I. Jordan

【Abstract】:

【Keywords】:

136. Towards Making Unlabeled Data Never Hurt.

【Paper Link】 【Pages】:1081-1088

【Authors】: Yu-Feng Li ; Zhi-Hua Zhou

【Abstract】:

【Keywords】:

137. On Random Weights and Unsupervised Feature Learning.

【Paper Link】 【Pages】:1089-1096

【Authors】: Andrew M. Saxe ; Pang Wei Koh ; Zhenghao Chen ; Maneesh Bhand ; Bipin Suresh ; Andrew Y. Ng

【Abstract】:

【Keywords】:

138. Doubly Robust Policy Evaluation and Learning.

【Paper Link】 【Pages】:1097-1104

【Authors】: Miroslav Dudík ; John Langford ; Lihong Li

【Abstract】:

【Keywords】:

139. Learning Deep Energy Models.

【Paper Link】 【Pages】:1105-1112

【Authors】: Jiquan Ngiam ; Zhenghao Chen ; Pang Wei Koh ; Andrew Y. Ng

【Abstract】:

【Keywords】:

140. Bipartite Ranking through Minimization of Univariate Loss.

【Paper Link】 【Pages】:1113-1120

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

【Abstract】:

【Keywords】:

141. Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning.

【Paper Link】 【Pages】:1121-1128

【Authors】: Sangkyun Lee ; Stephen J. Wright

【Abstract】:

【Keywords】:

142. Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions.

【Paper Link】 【Pages】:1129-1136

【Authors】: Alekh Agarwal ; Sahand Negahban ; Martin J. Wainwright

【Abstract】:

【Keywords】:

143. Bundle Selling by Online Estimation of Valuation Functions.

【Paper Link】 【Pages】:1137-1144

【Authors】: Daniel Vainsencher ; Ofer Dekel ; Shie Mannor

【Abstract】:

【Keywords】:

144. Unsupervised Models of Images by Spikeand-Slab RBMs.

【Paper Link】 【Pages】:1145-1152

【Authors】: Aaron C. Courville ; James Bergstra ; Yoshua Bengio

【Abstract】:

【Keywords】:

145. Approximating Correlated Equilibria using Relaxations on the Marginal Polytope.

【Paper Link】 【Pages】:1153-1160

【Authors】: Hetunandan Kamisetty ; Eric P. Xing ; Christopher James Langmead

【Abstract】:

【Keywords】:

146. Active Learning from Crowds.

【Paper Link】 【Pages】:1161-1168

【Authors】: Yan Yan ; Rómer Rosales ; Glenn Fung ; Jennifer G. Dy

【Abstract】:

【Keywords】:

147. Computational Rationalization: The Inverse Equilibrium Problem.

【Paper Link】 【Pages】:1169-1176

【Authors】: Kevin Waugh ; Brian D. Ziebart ; Drew Bagnell

【Abstract】:

【Keywords】:

148. Finite-Sample Analysis of Lasso-TD.

【Paper Link】 【Pages】:1177-1184

【Authors】: Mohammad Ghavamzadeh ; Alessandro Lazaric ; Rémi Munos ; Matthew W. Hoffman

【Abstract】:

【Keywords】:

149. Generalized Value Functions for Large Action Sets.

【Paper Link】 【Pages】:1185-1192

【Authors】: Jason Pazis ; Ronald Parr

【Abstract】:

【Keywords】:

150. k-DPPs: Fixed-Size Determinantal Point Processes.

【Paper Link】 【Pages】:1193-1200

【Authors】: Alex Kulesza ; Ben Taskar

【Abstract】:

【Keywords】:

151. On Autoencoders and Score Matching for Energy Based Models.

【Paper Link】 【Pages】:1201-1208

【Authors】: Kevin Swersky ; Marc'Aurelio Ranzato ; David Buchman ; Benjamin M. Marlin ; Nando de Freitas

【Abstract】:

【Keywords】:

152. Generalized Boosting Algorithms for Convex Optimization.

【Paper Link】 【Pages】:1209-1216

【Authors】: Alexander Grubb ; Drew Bagnell

【Abstract】:

【Keywords】: