| 2013 | A Sound and Complete Algorithm for Learning Causal Models from Relational Data. Marc E. Maier, Katerina Marazopoulou, David T. Arbour, David D. Jensen |
| 2013 | Active Learning with Expert Advice. Peilin Zhao, Steven C. H. Hoi, Jinfeng Zhuang |
| 2013 | Active Sensing as Bayes-Optimal Sequential Decision Making. Sheeraz Ahmad, Angela J. Yu |
| 2013 | Advances in Bayesian Network Learning using Integer Programming. James Cussens, Mark Bartlett |
| 2013 | Approximate Kalman Filter Q-Learning for Continuous State-Space MDPs. Charles Tripp, Ross D. Shachter |
| 2013 | Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes. Patrice Perny, Paul Weng, Judy Goldsmith, Josiah Hanna |
| 2013 | Automorphism Groups of Graphical Models and Lifted Variational Inference. Hung Bui, Tuyen N. Huynh, Sebastian Riedel |
| 2013 | Batch-iFDD for Representation Expansion in Large MDPs. Alborz Geramifard, Thomas J. Walsh, Nicholas Roy, Jonathan P. How |
| 2013 | Bennett-type Generalization Bounds: Large-deviation Case and Faster Rate of Convergence. Chao Zhang |
| 2013 | Bethe-ADMM for Tree Decomposition based Parallel MAP Inference. Qiang Fu, Huahua Wang, Arindam Banerjee |
| 2013 | Beyond Log-Supermodularity: Lower Bounds and the Bethe Partition Function. Nicholas Ruozzi |
| 2013 | Boosting in the presence of label noise. Jakramate Bootkrajang, Ata Kabán |
| 2013 | Bounded Approximate Symbolic Dynamic Programming for Hybrid MDPs. Luis Gustavo Vianna, Scott Sanner, Leliane Nunes de Barros |
| 2013 | Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens. Ravi Ganti, Alexander G. Gray |
| 2013 | Calculation of Entailed Rank Constraints in Partially Non-Linear and Cyclic Models. Peter Spirtes |
| 2013 | Causal Transportability of Experiments on Controllable Subsets of Variables: z-Transportability. Sanghack Lee, Vasant G. Honavar |
| 2013 | Collective Diffusion Over Networks: Models and Inference. Akshat Kumar, Daniel Sheldon, Biplav Srivastava |
| 2013 | Constrained Bayesian Inference for Low Rank Multitask Learning. Oluwasanmi Koyejo, Joydeep Ghosh |
| 2013 | Convex Relaxations of Bregman Divergence Clustering. Hao Cheng, Xinhua Zhang, Dale Schuurmans |
| 2013 | Cyclic Causal Discovery from Continuous Equilibrium Data. Joris M. Mooij, Tom Heskes |
| 2013 | Determinantal Clustering Processes - A Nonparametric Bayesian Approach to Kernel Based Semi-Supervised Clustering. Amar Shah, Zoubin Ghahramani |
| 2013 | Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure. Antti Hyttinen, Patrik O. Hoyer, Frederick Eberhardt, Matti Järvisalo |
| 2013 | Dynamic Blocking and Collapsing for Gibbs Sampling. Deepak Venugopal, Vibhav Gogate |
| 2013 | Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks. Brandon M. Malone, Changhe Yuan |
| 2013 | Evaluating computational models of explanation using human judgments. Michael Pacer, Joseph Jay Williams, Xi Chen, Tania Lombrozo, Thomas L. Griffiths |
| 2013 | Finite-Time Analysis of Kernelised Contextual Bandits. Michal Valko, Nathaniel Korda, Rémi Munos, Ilias N. Flaounas, Nello Cristianini |
| 2013 | From Ordinary Differential Equations to Structural Causal Models: the deterministic case. Joris M. Mooij, Dominik Janzing, Bernhard Schölkopf |
| 2013 | Gaussian Processes for Big Data. James Hensman, Nicoló Fusi, Neil D. Lawrence |
| 2013 | Generative Multiple-Instance Learning Models For Quantitative Electromyography. Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte |
| 2013 | High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning. Krishnakumar Balasubramanian, Kai Yu, Tong Zhang |
| 2013 | Hilbert Space Embeddings of Predictive State Representations. Byron Boots, Geoffrey J. Gordon, Arthur Gretton |
| 2013 | Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. Stephen H. Bach, Bert Huang, Ben London, Lise Getoor |
| 2013 | Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders. Eleni Sgouritsa, Dominik Janzing, Jonas Peters, Bernhard Schölkopf |
| 2013 | Integrating Document Clustering and Topic Modeling. Pengtao Xie, Eric P. Xing |
| 2013 | Inverse Covariance Estimation for High-Dimensional Data in Linear Time and Space: Spectral Methods for Riccati and Sparse Models. Jean Honorio, Tommi S. Jaakkola |
| 2013 | Learning Max-Margin Tree Predictors. Ofer Meshi, Elad Eban, Gal Elidan, Amir Globerson |
| 2013 | Learning Periodic Human Behaviour Models from Sparse Data for Crowdsourcing Aid Delivery in Developing Countries. James McInerney, Alex Rogers, Nicholas R. Jennings |
| 2013 | Learning Sparse Causal Models is not NP-hard. Tom Claassen, Joris M. Mooij, Tom Heskes |
| 2013 | Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases. Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu |
| 2013 | Modeling Documents with Deep Boltzmann Machines. Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton |
| 2013 | Monte-Carlo Planning: Theoretically Fast Convergence Meets Practical Efficiency. Zohar Feldman, Carmel Domshlak |
| 2013 | Multiple Instance Learning by Discriminative Training of Markov Networks. Hossein Hajimirsadeghi, Jinling Li, Greg Mori, Mohamed H. Zaki, Tarek Sayed |
| 2013 | Normalized Online Learning. Stéphane Ross, Paul Mineiro, John Langford |
| 2013 | On MAP Inference by MWSS on Perfect Graphs. Adrian Weller, Tony Jebara |
| 2013 | On the Complexity of Strong and Epistemic Credal Networks. Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci |
| 2013 | One-Class Support Measure Machines for Group Anomaly Detection. Krikamol Muandet, Bernhard Schölkopf |
| 2013 | Optimization With Parity Constraints: From Binary Codes to Discrete Integration. Stefano Ermon, Carla P. Gomes, Ashish Sabharwal, Bart Selman |
| 2013 | POMDPs under Probabilistic Semantics. Krishnendu Chatterjee, Martin Chmelik |
| 2013 | Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations. Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet |
| 2013 | Pay or Play. Sigal Oren, Michael Schapira, Moshe Tennenholtz |
| 2013 | Preference Elicitation For General Random Utility Models. Hossein Azari Soufiani, David C. Parkes, Lirong Xia |
| 2013 | Probabilistic Conditional Preference Networks. Damien Bigot, Bruno Zanuttini, Hélène Fargier, Jérôme Mengin |
| 2013 | Probabilistic inverse reinforcement learning in unknown environments. Aristide C. Y. Tossou, Christos Dimitrakakis |
| 2013 | Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, UAI 2013, Bellevue, WA, USA, August 11-15, 2013 Ann E. Nicholson, Padhraic Smyth |
| 2013 | Qualitative Possibilistic Mixed-Observable MDPs. Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois |
| 2013 | Reasoning about Probabilities in Dynamic Systems using Goal Regression. Vaishak Belle, Hector J. Levesque |
| 2013 | Sample Complexity of Multi-task Reinforcement Learning. Emma Brunskill, Lihong Li |
| 2013 | Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality. Vikas Sindhwani, Ha Quang Minh, Aurélie C. Lozano |
| 2013 | Scoring and Searching over Bayesian Networks with Causal and Associative Priors. Giorgos Borboudakis, Ioannis Tsamardinos |
| 2013 | Solution Methods for Constrained Markov Decision Process with Continuous Probability Modulation. Marek Petrik, Dharmashankar Subramanian, Janusz Marecki |
| 2013 | Solving Limited-Memory Influence Diagrams Using Branch-and-Bound Search. Arindam Khaled, Eric A. Hansen, Changhe Yuan |
| 2013 | Sparse Nested Markov models with Log-linear Parameters. Ilya Shpitser, Robin J. Evans, Thomas S. Richardson, James M. Robins |
| 2013 | SparsityBoost: A New Scoring Function for Learning Bayesian Network Structure. Eliot Brenner, David A. Sontag |
| 2013 | Speedy Model Selection (SMS) for Copula Models. Yaniv Tenzer, Gal Elidan |
| 2013 | Stochastic Rank Aggregation. Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2013 | Structured Convex Optimization under Submodular Constraints. Kiyohito Nagano, Yoshinobu Kawahara |
| 2013 | Structured Message Passing. Vibhav Gogate, Pedro M. Domingos |
| 2013 | The Bregman Variational Dual-Tree Framework. Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht |
| 2013 | The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking. Rishabh K. Iyer, Jeff A. Bilmes |
| 2013 | The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models. Novi Quadrianto, Viktoriia Sharmanska, David A. Knowles, Zoubin Ghahramani |
| 2013 | Tighter Linear Program Relaxations for High Order Graphical Models. Elad Mezuman, Daniel Tarlow, Amir Globerson, Yair Weiss |
| 2013 | Treedy: A Heuristic for Counting and Sampling Subsets. Teppo Niinimaki, Mikko Koivisto |
| 2013 | Unsupervised Learning of Noisy-Or Bayesian Networks. Yonatan Halpern, David A. Sontag |
| 2013 | Warped Mixtures for Nonparametric Cluster Shapes. Tomoharu Iwata, David Duvenaud, Zoubin Ghahramani |