| 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 | POMDPs under Probabilistic Semantics. | Krishnendu Chatterjee, Martin Chmelik |
| 2013 | Automorphism Groups of Graphical Models and Lifted Variational Inference. | Hung Bui, Tuyen N. Huynh, Sebastian Riedel |
| 2013 | Sample Complexity of Multi-task Reinforcement Learning. | Emma Brunskill, Lihong Li |
| 2013 | SparsityBoost: A New Scoring Function for Learning Bayesian Network Structure. | Eliot Brenner, David A. Sontag |
| 2013 | Scoring and Searching over Bayesian Networks with Causal and Associative Priors. | Giorgos Borboudakis, Ioannis Tsamardinos |
| 2013 | Hilbert Space Embeddings of Predictive State Representations. | Byron Boots, Geoffrey J. Gordon, Arthur Gretton |
| 2013 | Boosting in the presence of label noise. | Jakramate Bootkrajang, Ata Kabn |
| 2013 | Probabilistic Conditional Preference Networks. | Damien Bigot, Bruno Zanuttini, Hlne Fargier, Jrme Mengin |
| 2013 | Reasoning about Probabilities in Dynamic Systems using Goal Regression. | Vaishak Belle, Hector J. Levesque |
| 2013 | Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases. | Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu |
| 2013 | High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning. | Krishnakumar Balasubramanian, Kai Yu, Tong Zhang |
| 2013 | Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. | Stephen H. Bach, Bert Huang, Ben London, Lise Getoor |
| 2013 | Bayesian Supervised Dictionary learning. | Behnam Babagholami-Mohamadabadi, Amin Jourabloo, Mohammadreza Zolfaghari, Mohammad T. Manzuri Shalmani |
| 2013 | The Bregman Variational Dual-Tree Framework. | Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht |
| 2013 | Debugging the Evidence Chain. | Russell G. Almond, Yoon Jeon Kim, Valerie J. Shute, Matthew Ventura |
| 2013 | Active Sensing as Bayes-Optimal Sequential Decision Making. | Sheeraz Ahmad, Angela J. Yu |
| 2013 | A Lightweight Inference Method for Image Classification. | John Mark Agosta, Preeti J. Pillai |
| 2013 | Generative Multiple-Instance Learning Models For Quantitative Electromyography. | Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte |
| 2012 | On Approximate Inference of Dynamic Latent Classification Models for Oil Drilling Monitoring. | Shengtong Zhong |
| 2012 | Guess Who Rated This Movie: Identifying Users Through Subspace Clustering. | Amy Zhang, Nadia Fawaz, Stratis Ioannidis, Andrea Montanari |
| 2012 | FHHOP: A Factored Hybrid Heuristic Online Planning Algorithm for Large POMDPs. | Zongzhang Zhang, Xiaoping Chen |
| 2012 | An Improved Admissible Heuristic for Learning Optimal Bayesian Networks. | Changhe Yuan, Brandon M. Malone |
| 2012 | Non-Convex Rank Minimization via an Empirical Bayesian Approach. | David P. Wipf |
| 2012 | Latent Structured Ranking. | Jason Weston, John Blitzer |