| 2011 | A Co-training Approach for Multi-view Spectral Clustering. Abhishek Kumar, Hal Daumé III |
| 2011 | A Coherent Interpretation of AUC as a Measure of Aggregated Classification Performance. Peter A. Flach, José Hernández-Orallo, Cèsar Ferri Ramirez |
| 2011 | A Graphbased Framework for Multi-Task Multi-View Learning. Jingrui He, Rick Lawrence |
| 2011 | A New Bayesian Rating System for Team Competitions. Sergey I. Nikolenko, Alexander Sirotkin |
| 2011 | A PAC-Bayes Sample-compression Approach to Kernel Methods. Pascal Germain, Alexandre Lacoste, François Laviolette, Mario Marchand, Sara Shanian |
| 2011 | A Spectral Algorithm for Latent Tree Graphical Models. Ankur P. Parikh, Le Song, Eric P. Xing |
| 2011 | A Three-Way Model for Collective Learning on Multi-Relational Data. Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel |
| 2011 | A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection. Yue Guan, Jennifer G. Dy, Michael I. Jordan |
| 2011 | ABC-EP: Expectation Propagation for Likelihoodfree Bayesian Computation. Simon Barthelmé, Nicolas Chopin |
| 2011 | Access to Unlabeled Data can Speed up Prediction Time. Ruth Urner, Shai Shalev-Shwartz, Shai Ben-David |
| 2011 | Active Learning from Crowds. Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy |
| 2011 | Adaptive Kernel Approximation for Large-Scale Non-Linear SVM Prediction. Michele Cossalter, Rong Yan, Lu Zheng |
| 2011 | Adaptively Learning the Crowd Kernel. Omer Tamuz, Ce Liu, Serge J. Belongie, Ohad Shamir, Adam Kalai |
| 2011 | An Augmented Lagrangian Approach to Constrained MAP Inference. André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing |
| 2011 | Apprenticeship Learning About Multiple Intentions. Monica Babes, Vukosi Marivate, Kaushik Subramanian, Michael L. Littman |
| 2011 | Approximate Dynamic Programming for Storage Problems. Lauren Hannah, David B. Dunson |
| 2011 | Approximating Correlated Equilibria using Relaxations on the Marginal Polytope. Hetunandan Kamisetty, Eric P. Xing, Christopher James Langmead |
| 2011 | Approximation Bounds for Inference using Cooperative Cuts. Stefanie Jegelka, Jeff A. Bilmes |
| 2011 | Automatic Feature Decomposition for Single View Co-training. Minmin Chen, Kilian Q. Weinberger, Yixin Chen |
| 2011 | BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent. Enliang Hu, Bo Wang, Songcan Chen |
| 2011 | Bayesian CCA via Group Sparsity. Seppo Virtanen, Arto Klami, Samuel Kaski |
| 2011 | Bayesian Learning via Stochastic Gradient Langevin Dynamics. Max Welling, Yee Whye Teh |
| 2011 | Beam Search based MAP Estimates for the Indian Buffet Process. Piyush Rai, Hal Daumé III |
| 2011 | Beat the Mean Bandit. Yisong Yue, Thorsten Joachims |
| 2011 | Better Algorithms for Selective Sampling. Francesco Orabona, Nicolò Cesa-Bianchi |
| 2011 | Bipartite Ranking through Minimization of Univariate Loss. Wojciech Kotlowski, Krzysztof Dembczynski, Eyke Hüllermeier |
| 2011 | Boosting on a Budget: Sampling for Feature-Efficient Prediction. Lev Reyzin |
| 2011 | Bounding the Partition Function using Holder's Inequality. Qiang Liu, Alexander Ihler |
| 2011 | Brier Curves: a New Cost-Based Visualisation of Classifier Performance. José Hernández-Orallo, Peter A. Flach, Cèsar Ferri Ramirez |
| 2011 | Bundle Selling by Online Estimation of Valuation Functions. Daniel Vainsencher, Ofer Dekel, Shie Mannor |
| 2011 | Cauchy Graph Embedding. Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang |
| 2011 | Classification-based Policy Iteration with a Critic. Victor Gabillon, Alessandro Lazaric, Mohammad Ghavamzadeh, Bruno Scherrer |
| 2011 | Clustering Partially Observed Graphs via Convex Optimization. Ali Jalali, Yudong Chen, Sujay Sanghavi, Huan Xu |
| 2011 | Clustering by Left-Stochastic Matrix Factorization. Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel |
| 2011 | Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties. Toby Hocking, Jean-Philippe Vert, Francis R. Bach, Armand Joulin |
| 2011 | Computational Rationalization: The Inverse Equilibrium Problem. Kevin Waugh, Brian D. Ziebart, Drew Bagnell |
| 2011 | Conjugate Markov Decision Processes. Philip S. Thomas, Andrew G. Barto |
| 2011 | Contractive Auto-Encoders: Explicit Invariance During Feature Extraction. Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot, Yoshua Bengio |
| 2011 | Convex Max-Product over Compact Sets for Protein Folding. Jian Peng, Tamir Hazan, David A. McAllester, Raquel Urtasun |
| 2011 | Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach. Xavier Glorot, Antoine Bordes, Yoshua Bengio |
| 2011 | Doubly Robust Policy Evaluation and Learning. Miroslav Dudík, John Langford, Lihong Li |
| 2011 | Dynamic Egocentric Models for Citation Networks. Duy Quang Vu, Arthur U. Asuncion, David R. Hunter, Padhraic Smyth |
| 2011 | Dynamic Tree Block Coordinate Ascent. Daniel Tarlow, Dhruv Batra, Pushmeet Kohli, Vladimir Kolmogorov |
| 2011 | Efficient Rule Ensemble Learning using Hierarchical Kernels. Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan |
| 2011 | Efficient Sparse Modeling with Automatic Feature Grouping. Wenliang Zhong, James T. Kwok |
| 2011 | Eigenvalue Sensitive Feature Selection. Yi Jiang, Jiangtao Ren |
| 2011 | Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines. Kyunghyun Cho, Tapani Raiko, Alexander Ilin |
| 2011 | Estimating the Bayes Point Using Linear Knapsack Problems. Brian Potetz |
| 2011 | Fast Global Alignment Kernels. Marco Cuturi |
| 2011 | Fast Newton-type Methods for Total Variation Regularization. Álvaro Barbero Jiménez, Suvrit Sra |
| 2011 | Finite-Sample Analysis of Lasso-TD. Mohammad Ghavamzadeh, Alessandro Lazaric, Rémi Munos, Matthew W. Hoffman |
| 2011 | From PAC-Bayes Bounds to Quadratic Programs for Majority Votes. Jean-Francis Roy, François Laviolette, Mario Marchand |
| 2011 | Functional Regularized Least Squares Classication with Operator-valued Kernels. Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy |
| 2011 | Generalized Boosting Algorithms for Convex Optimization. Alexander Grubb, Drew Bagnell |
| 2011 | Generalized Value Functions for Large Action Sets. Jason Pazis, Ronald Parr |
| 2011 | Generating Text with Recurrent Neural Networks. Ilya Sutskever, James Martens, Geoffrey E. Hinton |
| 2011 | GoDec: Randomized Lowrank & Sparse Matrix Decomposition in Noisy Case. Tianyi Zhou, Dacheng Tao |
| 2011 | Hashing with Graphs. Wei Liu, Jun Wang, Sanjiv Kumar, Shih-Fu Chang |
| 2011 | Hierarchical Classification via Orthogonal Transfer. Lin Xiao, Dengyong Zhou, Mingrui Wu |
| 2011 | Implementing regularization implicitly via approximate eigenvector computation. Michael W. Mahoney, Lorenzo Orecchia |
| 2011 | Incremental Basis Construction from Temporal Difference Error. Yi Sun, Faustino J. Gomez, Mark B. Ring, Jürgen Schmidhuber |
| 2011 | Inference of Inversion Transduction Grammars. Alexander Clark |
| 2011 | Infinite Dynamic Bayesian Networks. Finale Doshi, David Wingate, Joshua B. Tenenbaum, Nicholas Roy |
| 2011 | Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines. Jun Zhu, Ning Chen, Eric P. Xing |
| 2011 | Integrating Partial Model Knowledge in Model Free RL Algorithms. Aviv Tamar, Dotan Di Castro, Ron Meir |
| 2011 | Large Scale Text Classification using Semisupervised Multinomial Naive Bayes. Jiang Su, Jelber Sayyad Shirab, Stan Matwin |
| 2011 | Large-Scale Convex Minimization with a Low-Rank Constraint. Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir |
| 2011 | Large-Scale Learning of Embeddings with Reconstruction Sampling. Yann N. Dauphin, Xavier Glorot, Yoshua Bengio |
| 2011 | Learning Deep Energy Models. Jiquan Ngiam, Zhenghao Chen, Pang Wei Koh, Andrew Y. Ng |
| 2011 | Learning Discriminative Fisher Kernels. Laurens van der Maaten |
| 2011 | Learning Linear Functions with Quadratic and Linear Multiplicative Updates. Tom Bylander |
| 2011 | Learning Mallows Models with Pairwise Preferences. Tyler Lu, Craig Boutilier |
| 2011 | Learning Multi-View Neighborhood Preserving Projections. Novi Quadrianto, Christoph H. Lampert |
| 2011 | Learning Output Kernels with Block Coordinate Descent. Francesco Dinuzzo, Cheng Soon Ong, Peter V. Gehler, Gianluigi Pillonetto |
| 2011 | Learning Recurrent Neural Networks with Hessian-Free Optimization. James Martens, Ilya Sutskever |
| 2011 | Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision. David Buffoni, Clément Calauzènes, Patrick Gallinari, Nicolas Usunier |
| 2011 | Learning attentional policies for tracking and recognition in video with deep networks. Loris Bazzani, Nando de Freitas, Hugo Larochelle, Vittorio Murino, Jo-Anne Ting |
| 2011 | Learning from Multiple Outlooks. Maayan Harel, Shie Mannor |
| 2011 | Learning with Whom to Share in Multi-task Feature Learning. Zhuoliang Kang, Kristen Grauman, Fei Sha |
| 2011 | Linear Regression under Fixed-Rank Constraints: A Riemannian Approach. Gilles Meyer, Silvère Bonnabel, Rodolphe Sepulchre |
| 2011 | Locally Linear Support Vector Machines. Lubor Ladicky, Philip H. S. Torr |
| 2011 | Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning. Sangkyun Lee, Stephen J. Wright |
| 2011 | Mapping kernels for trees. Kilho Shin, Marco Cuturi, Tetsuji Kuboyama |
| 2011 | Max-margin Learning for Lower Linear Envelope Potentials in Binary Markov Random Fields. Stephen Gould |
| 2011 | Mean-Variance Optimization in Markov Decision Processes. Shie Mannor, John N. Tsitsiklis |
| 2011 | Message Passing Algorithms for the Dirichlet Diffusion Tree. David A. Knowles, Jurgen Van Gael, Zoubin Ghahramani |
| 2011 | Minimal Loss Hashing for Compact Binary Codes. Mohammad Norouzi, David J. Fleet |
| 2011 | Minimax Learning Rates for Bipartite Ranking and Plug-in Rules. Sylvain Robbiano, Stéphan Clémençon |
| 2011 | Minimum Probability Flow Learning. Jascha Sohl-Dickstein, Peter Battaglino, Michael Robert DeWeese |
| 2011 | MultiLabel Classification on Tree- and DAG-Structured Hierarchies. Wei Bi, James T. Kwok |
| 2011 | Multiclass Boosting with Hinge Loss based on Output Coding. Tianshi Gao, Daphne Koller |
| 2011 | Multiclass Classification with Bandit Feedback using Adaptive Regularization. Koby Crammer, Claudio Gentile |
| 2011 | Multimodal Deep Learning. Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, Andrew Y. Ng |
| 2011 | Multiple Instance Learning with Manifold Bags. Boris Babenko, Nakul Verma, Piotr Dollár, Serge J. Belongie |
| 2011 | Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions. Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright |
| 2011 | On Autoencoders and Score Matching for Energy Based Models. Kevin Swersky, Marc'Aurelio Ranzato, David Buchman, Benjamin M. Marlin, Nando de Freitas |
| 2011 | On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution. Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan |
| 2011 | On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution. Masashi Sugiyama, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya |
| 2011 | On Random Weights and Unsupervised Feature Learning. Andrew M. Saxe, Pang Wei Koh, Zhenghao Chen, Maneesh Bhand, Bipin Suresh, Andrew Y. Ng |
| 2011 | On optimization methods for deep learning. Quoc V. Le, Jiquan Ngiam, Adam Coates, Ahbik Lahiri, Bobby Prochnow, Andrew Y. Ng |
| 2011 | On the Integration of Topic Modeling and Dictionary Learning. Lingbo Li, Mingyuan Zhou, Guillermo Sapiro, Lawrence Carin |
| 2011 | On the Necessity of Irrelevant Variables. David P. Helmbold, Philip M. Long |
| 2011 | On the Robustness of Kernel Density M-Estimators. JooSeuk Kim, Clayton D. Scott |
| 2011 | On the Use of Variational Inference for Learning Discrete Graphical Model. Eunho Yang, Pradeep Ravikumar |
| 2011 | On tracking portfolios with certainty equivalents on a generalization of Markowitz model: the Fool, the Wise and the Adaptive. Richard Nock, Brice Magdalou, Eric Briys, Frank Nielsen |
| 2011 | Online AUC Maximization. Peilin Zhao, Steven C. H. Hoi, Rong Jin, Tianbao Yang |
| 2011 | Online Discovery of Feature Dependencies. Alborz Geramifard, Finale Doshi, Josh Redding, Nicholas Roy, Jonathan P. How |
| 2011 | Online Submodular Minimization for Combinatorial Structures. Stefanie Jegelka, Jeff A. Bilmes |
| 2011 | OptiML: An Implicitly Parallel Domain-Specific Language for Machine Learning. Arvind K. Sujeeth, HyoukJoong Lee, Kevin J. Brown, Tiark Rompf, Hassan Chafi, Michael Wu, Anand R. Atreya, Martin Odersky, Kunle Olukotun |
| 2011 | Optimal Distributed Online Prediction. Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao |
| 2011 | PILCO: A Model-Based and Data-Efficient Approach to Policy Search. Marc Peter Deisenroth, Carl Edward Rasmussen |
| 2011 | Parallel Coordinate Descent for L1-Regularized Loss Minimization. Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin |
| 2011 | Parsing Natural Scenes and Natural Language with Recursive Neural Networks. Richard Socher, Cliff Chiung-Yu Lin, Andrew Y. Ng, Christopher D. Manning |
| 2011 | Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models. Benjamin M. Marlin, Mohammad Emtiyaz Khan, Kevin P. Murphy |
| 2011 | Predicting Legislative Roll Calls from Text. Sean Gerrish, David M. Blei |
| 2011 | Preserving Personalized Pagerank in Subgraphs. Andrea Vattani, Deepayan Chakrabarti, Maxim Gurevich |
| 2011 | Probabilistic Matrix Addition. Amrudin Agovic, Arindam Banerjee, Snigdhansu Chatterjee |
| 2011 | Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011 Lise Getoor, Tobias Scheffer |
| 2011 | Pruning nearest neighbor cluster trees. Samory Kpotufe, Ulrike von Luxburg |
| 2011 | Relational Active Learning for Joint Collective Classification Models. Ankit Kuwadekar, Jennifer Neville |
| 2011 | Risk-Based Generalizations of f-divergences. Dario García-García, Ulrike von Luxburg, Raúl Santos-Rodríguez |
| 2011 | Robust Matrix Completion and Corrupted Columns. Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi |
| 2011 | SampleRank: Training Factor Graphs with Atomic Gradients. Michael L. Wick, Khashayar Rohanimanesh, Kedar Bellare, Aron Culotta, Andrew McCallum |
| 2011 | Semi-supervised Penalized Output Kernel Regression for Link Prediction. Céline Brouard, Florence d'Alché-Buc, Marie Szafranski |
| 2011 | Simultaneous Learning and Covering with Adversarial Noise. Andrew Guillory, Jeff A. Bilmes |
| 2011 | Size-constrained Submodular Minimization through Minimum Norm Base. Kiyohito Nagano, Yoshinobu Kawahara, Kazuyuki Aihara |
| 2011 | Sparse Additive Generative Models of Text. Jacob Eisenstein, Amr Ahmed, Eric P. Xing |
| 2011 | Speeding-Up Hoeffding-Based Regression Trees With Options. Elena Ikonomovska, João Gama, Bernard Zenko, Saso Dzeroski |
| 2011 | Stochastic Low-Rank Kernel Learning for Regression. Pierre Machart, Thomas Peel, Sandrine Anthoine, Liva Ralaivola, Hervé Glotin |
| 2011 | Structure Learning in Ergodic Factored MDPs without Knowledge of the Transition Function's In-Degree. Doran Chakraborty, Peter Stone |
| 2011 | Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection. Abhimanyu Das, David Kempe |
| 2011 | Suboptimal Solution Path Algorithm for Support Vector Machine. Masayuki Karasuyama, Ichiro Takeuchi |
| 2011 | Support Vector Machines as Probabilistic Models. Vojtech Franc, Alexander Zien, Bernhard Schölkopf |
| 2011 | Surrogate losses and regret bounds for cost-sensitive classification with example-dependent costs. Clayton Scott |
| 2011 | Task Space Retrieval Using Inverse Feedback Control. Nikolay Jetchev, Marc Toussaint |
| 2011 | The Constrained Weight Space SVM: Learning with Ranked Features. Kevin Small, Byron C. Wallace, Carla E. Brodley, Thomas A. Trikalinos |
| 2011 | The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning. Bo Chen, Gungor Polatkan, Guillermo Sapiro, David B. Dunson, Lawrence Carin |
| 2011 | The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization. Adam Coates, Andrew Y. Ng |
| 2011 | The Infinite Regionalized Policy Representation. Miao Liu, Xuejun Liao, Lawrence Carin |
| 2011 | Time Series Clustering: Complex is Simpler! Lei Li, B. Aditya Prakash |
| 2011 | Topic Modeling with Nonparametric Markov Tree. Haojun Chen, David B. Dunson, Lawrence Carin |
| 2011 | Towards Making Unlabeled Data Never Hurt. Yufeng Li, Zhi-Hua Zhou |
| 2011 | Tree preserving embedding. Albert Shieh, Tatsunori B. Hashimoto, Edoardo M. Airoldi |
| 2011 | Tree-Structured Infinite Sparse Factor Model. XianXing Zhang, David B. Dunson, Lawrence Carin |
| 2011 | Ultra-Fast Optimization Algorithm for Sparse Multi Kernel Learning. Francesco Orabona, Jie Luo |
| 2011 | Uncovering the Temporal Dynamics of Diffusion Networks. Manuel Gomez-Rodriguez, David Balduzzi, Bernhard Schölkopf |
| 2011 | Unimodal Bandits. Jia Yuan Yu, Shie Mannor |
| 2011 | Unsupervised Models of Images by Spikeand-Slab RBMs. Aaron C. Courville, James Bergstra, Yoshua Bengio |
| 2011 | Variational Heteroscedastic Gaussian Process Regression. Miguel Lázaro-Gredilla, Michalis K. Titsias |
| 2011 | Variational Inference for Policy Search in changing situations. Gerhard Neumann |
| 2011 | Variational Inference for Stick-Breaking Beta Process Priors. John W. Paisley, Lawrence Carin, David M. Blei |
| 2011 | Vector-valued Manifold Regularization. Ha Quang Minh, Vikas Sindhwani |
| 2011 | k-DPPs: Fixed-Size Determinantal Point Processes. Alex Kulesza, Ben Taskar |