| 2016 | Modeling Transitivity in Complex Networks. | Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani |
| 2016 | A Probabilistic Approach for Detection and Analysis of Cognitive Flow. | Debatri Chatterjee, Aniruddha Sinha, Meghamala Sinha, Sanjoy Kumar Saha |
| 2016 | Individual Planning in Open and Typed Agent Systems. | Muthukumaran Chandrasekaran, Adam Eck, Prashant Doshi, Leenkiat Soh |
| 2016 | Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data. | Krzysztof Chalupka, Tobias Bischoff, Frederick Eberhardt, Pietro Perona |
| 2016 | Bayesian Models to Assess Risk of Corruption of Federal Management Units. | Ricardo Silva Carvalho, Rommel Novaes Carvalho |
| 2016 | Analysis of Nystrm method with sequential ridge leverage scores. | Daniele Calandriello, Alessandro Lazaric, Michal Valko |
| 2016 | Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes. | Craig Boutilier, Tyler Lu |
| 2016 | Sequential Nonparametric Testing with the Law of the Iterated Logarithm. | Akshay Balsubramani, Aaditya Ramdas |
| 2016 | The Mondrian Kernel. | Matej Balog, Balaji Lakshminarayanan, Zoubin Ghahramani, Daniel M. Roy, Yee Whye Teh |
| 2016 | Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes. | Mohammad Gheshlaghi Azar, Eva L. Dyer, Konrad P. Krding |
| 2016 | Pairwise Cluster Comparison for Learning Latent Variable Models. | Nuaman Asbeh, Boaz Lerner |
| 2016 | Inferring Causal Direction from Relational Data. | David T. Arbour, Katerina Marazopoulou, David D. Jensen |
| 2016 | Gradient Methods for Stackelberg Games. | Kareem Amin, Michael P. Wellman, Satinder Singh |
| 2015 | Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints. | Yun Zhou, Norman E. Fenton, Timothy M. Hospedales, Martin Neil |
| 2015 | Extend Transferable Belief Models with Probabilistic Priors. | Chunlai Zhou, Yuan Feng |
| 2015 | Effcient Transition Probability Computation for Continuous-Time Branching Processes via Compressed Sensing. | Jason Xu, Vladimir N. Minin |
| 2015 | Bethe and Related Pairwise Entropy Approximations. | Adrian Weller |
| 2015 | Clustered Sparse Bayesian Learning. | Yu Wang, David P. Wipf, Jeong-Min Yun, Wei Chen, Ian J. Wassell |
| 2015 | Generalization Bounds for Transfer Learning under Model Shift. | Xuezhi Wang, Jeff G. Schneider |
| 2015 | A Smart-Dumb/Dumb-Smart Algorithm for Efficient Split-Merge MCMC. | Wei Wang, Stuart Russell |
| 2015 | Planning under Uncertainty with Weighted State Scenarios. | Erwin Walraven, Matthijs T. J. Spaan |
| 2015 | Bethe Projections for Non-Local Inference. | Luke Vilnis, David Belanger, Daniel Sheldon, Andrew McCallum |
| 2015 | Learning from Pairwise Marginal Independencies. | Johannes Textor, Alexander Idelberger, Maciej Liskiewicz |
| 2015 | Bayesian Structure Learning for Stationary Time Series. | Alex Tank, Nicholas J. Foti, Emily B. Fox |
| 2015 | On the Error of Random Fourier Features. | Danica J. Sutherland, Jeff G. Schneider |