| 2013 | On the Complexity of Strong and Epistemic Credal Networks. | Denis Deratani Mau, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci |
| 2013 | Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks. | Brandon M. Malone, Changhe Yuan |
| 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 | 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 | Solving Limited-Memory Influence Diagrams Using Branch-and-Bound Search. | Arindam Khaled, Eric A. Hansen, Changhe Yuan |
| 2013 | Identifying Learning Trajectories in an Educational Video Game. | Deirdre Kerr, Gregory K. W. K. Chung |
| 2013 | The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking. | Rishabh K. Iyer, Jeff A. Bilmes |
| 2013 | Warped Mixtures for Nonparametric Cluster Shapes. | Tomoharu Iwata, David Duvenaud, Zoubin Ghahramani |
| 2013 | Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure. | Antti Hyttinen, Patrik O. Hoyer, Frederick Eberhardt, Matti Jrvisalo |
| 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 | Gaussian Processes for Big Data. | James Hensman, Nicol Fusi, Neil D. Lawrence |
| 2013 | Unsupervised Learning of Noisy-Or Bayesian Networks. | Yonatan Halpern, David A. Sontag |
| 2013 | Multiple Instance Learning by Discriminative Training of Markov Networks. | Hossein Hajimirsadeghi, Jinling Li, Greg Mori, Mohamed H. Zaki, Tarek Sayed |
| 2013 | Structured Message Passing. | Vibhav Gogate, Pedro M. Domingos |
| 2013 | Batch-iFDD for Representation Expansion in Large MDPs. | Alborz Geramifard, Thomas J. Walsh, Nicholas Roy, Jonathan P. How |
| 2013 | Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens. | Ravi Ganti, Alexander G. Gray |
| 2013 | Bethe-ADMM for Tree Decomposition based Parallel MAP Inference. | Qiang Fu, Huahua Wang, Arindam Banerjee |
| 2013 | Monte-Carlo Planning: Theoretically Fast Convergence Meets Practical Efficiency. | Zohar Feldman, Carmel Domshlak |
| 2013 | Optimization With Parity Constraints: From Binary Codes to Discrete Integration. | Stefano Ermon, Carla P. Gomes, Ashish Sabharwal, Bart Selman |
| 2013 | Qualitative Possibilistic Mixed-Observable MDPs. | Nicolas Drougard, Florent Teichteil-Knigsbuch, Jean-Loup Farges, Didier Dubois |
| 2013 | Advances in Bayesian Network Learning using Integer Programming. | James Cussens, Mark Bartlett |
| 2013 | Learning Sparse Causal Models is not NP-hard. | Tom Claassen, Joris M. Mooij, Tom Heskes |
| 2013 | Convex Relaxations of Bregman Divergence Clustering. | Hao Cheng, Xinhua Zhang, Dale Schuurmans |