| 2011 | A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks. James R. Foulds, Christopher DuBois, Arthur U. Asuncion, Carter T. Butts, Padhraic Smyth |
| 2011 | A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods. Hongtao Lu, Xianzhong Long, Jingyuan Lv |
| 2011 | A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems. Xiaotong Yuan, Shuicheng Yan |
| 2011 | A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning. Stéphane Ross, Geoffrey J. Gordon, Drew Bagnell |
| 2011 | A Spike and Slab Restricted Boltzmann Machine. Aaron C. Courville, James Bergstra, Yoshua Bengio |
| 2011 | A conditional game for comparing approximations. Frederik Eaton |
| 2011 | A novel greedy algorithm for Nyström approximation. Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel |
| 2011 | Active Boosted Learning (ActBoost). Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón |
| 2011 | Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities. Brian Eriksson, Gautam Dasarathy, Aarti Singh, Robert D. Nowak |
| 2011 | Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach. Gowtham Bellala, Suresh K. Bhavnani, Clayton Scott |
| 2011 | Adaptive Bandits: Towards the best history-dependent strategy. Odalric-Ambrym Maillard, Rémi Munos |
| 2011 | An Analysis of Single-Layer Networks in Unsupervised Feature Learning. Adam Coates, Andrew Y. Ng, Honglak Lee |
| 2011 | An Instantiation-Based Theorem Prover for First-Order Programming. Erik Zawadzki, Geoffrey J. Gordon, André Platzer |
| 2011 | Approximate inference for the loss-calibrated Bayesian. Simon Lacoste-Julien, Ferenc Huszar, Zoubin Ghahramani |
| 2011 | Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening. Ning Situ, Xiaojing Yuan, George Zouridakis |
| 2011 | Asymptotic Theory for Linear-Chain Conditional Random Fields. Mathieu Sinn, Pascal Poupart |
| 2011 | Bagged Structure Learning of Bayesian Network. Gal Elidan |
| 2011 | Bayesian Hierarchical Cross-Clustering. Dazhuo Li, Patrick Shafto |
| 2011 | Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso. Rahul Garg, Rohit Khandekar |
| 2011 | Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality. Shuang-Hong Yang, Steven P. Crain, Hongyuan Zha |
| 2011 | CAKE: Convex Adaptive Kernel Density Estimation. Ravi Sastry Ganti Mahapatruni, Alexander G. Gray |
| 2011 | Can matrix coherence be efficiently and accurately estimated? Mehryar Mohri, Ameet Talwalkar |
| 2011 | Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models. Edward Challis, David Barber |
| 2011 | Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection. Bin Li, Steven C. H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan |
| 2011 | Contextual Bandit Algorithms with Supervised Learning Guarantees. Alina Beygelzimer, John Langford, Lihong Li, Lev Reyzin, Robert E. Schapire |
| 2011 | Contextual Bandits with Linear Payoff Functions. Wei Chu, Lihong Li, Lev Reyzin, Robert E. Schapire |
| 2011 | Convergent Decomposition Solvers for Tree-reweighted Free Energies. Jeremy Jancsary, Gerald Matz |
| 2011 | Convex envelopes of complexity controlling penalties: the case against premature envelopment. Vladimir Jojic, Suchi Saria, Daphne Koller |
| 2011 | Cross-Domain Object Matching with Model Selection. Makoto Yamada, Masashi Sugiyama |
| 2011 | Deep Learners Benefit More from Out-of-Distribution Examples. Yoshua Bengio, Frédéric Bastien, Arnaud Bergeron, Nicolas Boulanger-Lewandowski, Thomas M. Breuel, Youssouf Chherawala, Moustapha Cissé, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain Pannetier Lebeuf, Razvan Pascanu, Salah Rifai, François Savard, Guillaume Sicard |
| 2011 | Deep Learning for Efficient Discriminative Parsing. Ronan Collobert |
| 2011 | Deep Sparse Rectifier Neural Networks. Xavier Glorot, Antoine Bordes, Yoshua Bengio |
| 2011 | Dependent Hierarchical Beta Process for Image Interpolation and Denoising. Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David B. Dunson, Lawrence Carin |
| 2011 | Dimensionality Reduction for Spectral Clustering. Donglin Niu, Jennifer G. Dy, Michael I. Jordan |
| 2011 | Directional Statistics on Permutations. Sergey M. Plis, Stephen McCracken, Terran Lane, Vince D. Calhoun |
| 2011 | Discussion of "A conditional game for comparing approximations". Vincent Conitzer |
| 2011 | Discussion of "Contextual Bandit Algorithms with Supervised Learning Guarantees". H. Brendan McMahan |
| 2011 | Discussion of "Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables". Jiji Zhang, Ricardo Bezerra de Andrade e Silva |
| 2011 | Discussion of "Learning Scale Free Networks by Reweighted L1 regularization". Deepak Agarwal |
| 2011 | Discussion of "Spectral Dimensionality Reduction via Maximum Entropy". Laurens van der Maaten |
| 2011 | Discussion of "The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling". Frank D. Wood |
| 2011 | Discussion of "The Neural Autoregressive Distribution Estimator". Yoshua Bengio |
| 2011 | Domain Adaptation with Coupled Subspaces. John Blitzer, Sham M. Kakade, Dean P. Foster |
| 2011 | Dynamic Policy Programming with Function Approximation. Mohammad Gheshlaghi Azar, Vicenç Gómez, Bert Kappen |
| 2011 | Efficient variable selection in support vector machines via the alternating direction method of multipliers. Gui-Bo Ye, Yifei Chen, Xiaohui Xie |
| 2011 | Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure. Veselin Stoyanov, Alexander Ropson, Jason Eisner |
| 2011 | Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning. Xueyuan Zhou, Nathan Srebro |
| 2011 | Estimating Probabilities in Recommendation Systems. Mingxuan Sun, Guy Lebanon, Paul Kidwell |
| 2011 | Estimating beta-mixing coefficients. Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish |
| 2011 | Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks. Qirong Ho, Le Song, Eric P. Xing |
| 2011 | Faithfulness in Chain Graphs: The Gaussian Case. José M. Peña |
| 2011 | Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference. Matthias W. Seeger, Hannes Nickisch |
| 2011 | Fast b-matching via Sufficient Selection Belief Propagation. Bert Huang, Tony Jebara |
| 2011 | Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization. H. Brendan McMahan |
| 2011 | Generalization Bound for Infinitely Divisible Empirical Process. Chao Zhang, Dacheng Tao |
| 2011 | Generative Kernels for Exponential Families. Arvind Agarwal, Hal Daumé III |
| 2011 | Generative Modeling for Maximizing Precision and Recall in Information Visualization. Jaakko Peltonen, Samuel Kaski |
| 2011 | Group Orthogonal Matching Pursuit for Logistic Regression. Aurélie C. Lozano, Grzegorz Swirszcz, Naoki Abe |
| 2011 | Hidden-Unit Conditional Random Fields. Laurens van der Maaten, Max Welling, Lawrence K. Saul |
| 2011 | Hierarchical Probabilistic Models for Group Anomaly Detection. Liang Xiong, Barnabás Póczos, Jeff G. Schneider, Andrew J. Connolly, Jake VanderPlas |
| 2011 | Improved Loss Bounds For Multiple Kernel Learning. Zakria Hussain, John Shawe-Taylor |
| 2011 | Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback. Ankan Saha, Ambuj Tewari |
| 2011 | Information Theoretical Clustering via Semidefinite Programming. Meihong Wang, Fei Sha |
| 2011 | Kernel Belief Propagation. Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin |
| 2011 | Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM. Heng Luo, Ruimin Shen, Changyong Niu, Carsten Ullrich |
| 2011 | Learning Scale Free Networks by Reweighted L1 regularization. Qiang Liu, Alexander Ihler |
| 2011 | Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables. Robert E. Tillman, Peter Spirtes |
| 2011 | Learning from positive and unlabeled examples by enforcing statistical significance. Pierre Geurts |
| 2011 | Learning mixtures of Gaussians with maximum-a-posteriori oracle. Satyaki Mahalanabis |
| 2011 | Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation. David Wingate, Andreas Stuhlmüller, Noah D. Goodman |
| 2011 | Linear-Time Estimators for Propensity Scores. Deepak Agarwal, Lihong Li, Alexander J. Smola |
| 2011 | Machine Learning Markets. Amos J. Storkey |
| 2011 | Maximum Volume Clustering. Gang Niu, Bo Dai, Lin Shang, Masashi Sugiyama |
| 2011 | Mixed Cumulative Distribution Networks. Ricardo Bezerra de Andrade e Silva, Charles Blundell, Yee Whye Teh |
| 2011 | Multi-Label Output Codes using Canonical Correlation Analysis. Yi Zhang, Jeff G. Schneider |
| 2011 | Multicore Gibbs Sampling in Dense, Unstructured Graphs. Tianbing Xu, Alexander Ihler |
| 2011 | Multiscale Community Blockmodel for Network Exploration. Qirong Ho, Ankur P. Parikh, Le Song, Eric P. Xing |
| 2011 | On Learning Discrete Graphical Models using Group-Sparse Regularization. Ali Jalali, Pradeep Ravikumar, Vishvas Vasuki, Sujay Sanghavi |
| 2011 | On NDCG Consistency of Listwise Ranking Methods. Pradeep Ravikumar, Ambuj Tewari, Eunho Yang |
| 2011 | On Time Varying Undirected Graphs. Mladen Kolar, Eric P. Xing |
| 2011 | On the Estimation of alpha-Divergences. Barnabás Póczos, Jeff G. Schneider |
| 2011 | Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text. Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alexander J. Smola, Eric P. Xing |
| 2011 | Online Learning of Multiple Tasks and Their Relationships. Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian |
| 2011 | Online Learning of Structured Predictors with Multiple Kernels. André Filipe Torres Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo |
| 2011 | Online Variational Inference for the Hierarchical Dirichlet Process. Chong Wang, John W. Paisley, David M. Blei |
| 2011 | Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources. Sue Ann Hong, Geoffrey J. Gordon |
| 2011 | Optimal and Robust Price Experimentation: Learning by Lottery. Christopher R. Dance, Onno Zoeter |
| 2011 | Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees. Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin |
| 2011 | Polytope samplers for inference in ill-posed inverse problems. Edoardo M. Airoldi, Bertrand Haas |
| 2011 | Preface. Geoffrey J. Gordon, David B. Dunson |
| 2011 | Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2011, Fort Lauderdale, USA, April 11-13, 2011 Geoffrey J. Gordon, David B. Dunson, Miroslav Dudík |
| 2011 | Relational Learning with One Network: An Asymptotic Analysis. Rongjing Xiang, Jennifer Neville |
| 2011 | Relative Entropy Inverse Reinforcement Learning. Abdeslam Boularias, Jens Kober, Jan Peters |
| 2011 | Revisiting MAP Estimation, Message Passing and Perfect Graphs. James R. Foulds, Nicholas Navaroli, Padhraic Smyth, Alexander Ihler |
| 2011 | Robust Bayesian Matrix Factorisation. Balaji Lakshminarayanan, Guillaume Bouchard, Cédric Archambeau |
| 2011 | Semi-supervised Learning by Higher Order Regularization. Xueyuan Zhou, Mikhail Belkin |
| 2011 | Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities. Richard Socher, Andrew L. Maas, Christopher D. Manning |
| 2011 | Spectral Clustering on a Budget. Ohad Shamir, Naftali Tishby |
| 2011 | Spectral Dimensionality Reduction via Maximum Entropy. Neil D. Lawrence |
| 2011 | Statistical Optimization of Non-Negative Matrix Factorization. Anoop Korattikara Balan, Levi Boyles, Max Welling, Jingu Kim, Haesun Park |
| 2011 | Switch-Reset Models : Exact and Approximate Inference. Chris Bracegirdle, David Barber |
| 2011 | The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling. John W. Paisley, Chong Wang, David M. Blei |
| 2011 | The Neural Autoregressive Distribution Estimator. Hugo Larochelle, Iain Murray |
| 2011 | The Sample Complexity of Self-Verifying Bayesian Active Learning. Liu Yang, Steve Hanneke, Jaime G. Carbonell |
| 2011 | Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm. Dhruv Batra, Sebastian Nowozin, Pushmeet Kohli |
| 2011 | TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents. Ramesh Nallapati, Daniel A. McFarland, Christopher D. Manning |
| 2011 | Two-Layer Multiple Kernel Learning. Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi |
| 2011 | Unsupervised Supervised Learning II: Margin-Based Classification without Labels. Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon |