| 2015 | Averaging of Decomposable Graphs by Dynamic Programming and Sampling. | Kustaa Kangas, Teppo Mikael Niinimki, Mikko Koivisto |
| 2015 | Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages. | Wittawat Jitkrittum, Arthur Gretton, Nicolas Heess, S. M. Ali Eslami, Balaji Lakshminarayanan, Dino Sejdinovic, Zoltn Szab |
| 2015 | Do-calculus when the True Graph Is Unknown. | Antti Hyttinen, Frederick Eberhardt, Matti Jrvisalo |
| 2015 | Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors. | Changwei Hu, Piyush Rai, Lawrence Carin |
| 2015 | Computing Optimal Bayesian Decisions for Rank Aggregation via MCMC Sampling. | David Hughes, Kevin Hwang, Lirong Xia |
| 2015 | Progressive Abstraction Refinement for Sparse Sampling. | Jesse Hostetler, Alan Fern, Thomas G. Dietterich |
| 2015 | Importance Sampling over Sets: A New Probabilistic Inference Scheme. | Stefan Hadjis, Stefano Ermon |
| 2015 | Multitasking: Optimal Planning for Bandit Superprocesses. | Dylan Hadfield-Menell, Stuart Russell |
| 2015 | State Sequence Analysis in Hidden Markov Models. | Yuri Grinberg, Theodore J. Perkins |
| 2015 | Scalable Recommendation with Hierarchical Poisson Factorization. | Prem Gopalan, Jake M. Hofman, David M. Blei |
| 2015 | Revisiting Non-Progressive Influence Models: Scalable Influence Maximization in Social Networks. | Golshan Golnari, Amir Asiaee T., Arindam Banerjee, Zhi-Li Zhang |
| 2015 | Discriminative Switching Linear Dynamical Systems applied to Physiological Condition Monitoring. | Konstantinos Georgatzis, Christopher K. I. Williams |
| 2015 | Locally Conditioned Belief Propagation. | Thomas Geier, Felix Richter, Susanne Biundo |
| 2015 | Psychophysical Detection Testing with Bayesian Active Learning. | Jacob R. Gardner, Xinyu Song, Kilian Q. Weinberger, Dennis L. Barbour, John P. Cunningham |
| 2015 | Estimating Mutual Information by Local Gaussian Approximation. | Shuyang Gao, Greg Ver Steeg, Aram Galstyan |
| 2015 | Incremental Region Selection for Mini-bucket Elimination Bounds. | Sholeh Forouzan, Alexander Ihler |
| 2015 | Recovering from Selection Bias using Marginal Structure in Discrete Models. | Robin J. Evans, Vanessa Didelez |
| 2015 | Training generative neural networks via Maximum Mean Discrepancy optimization. | Gintare Karolina Dziugaite, Daniel M. Roy, Zoubin Ghahramani |
| 2015 | A Probabilistic Logic for Reasoning about Uncertain Temporal Information. | Dragan Doder, Zoran Ognjanovic |
| 2015 | Causal Reasoning for Events in Continuous Time: A Decision - Theoretic Approach. | Vanessa Didelez |
| 2015 | Budget Constraints in Prediction Markets. | Nikhil R. Devanur, Miroslav Dudk, Zhiyi Huang, David M. Pennock |
| 2015 | Semi-described and semi-supervised learning with Gaussian processes. | Andreas C. Damianou, Neil D. Lawrence |
| 2015 | An Empirical Study of the Simplest Causal Prediction Algorithm. | Jerome Cremers, Joris M. Mooij |
| 2015 | Stable Spectral Learning Based on Schur Decomposition. | Nicol Colombo, Nikos Vlassis |
| 2015 | Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations. | David Maxwell Chickering, Christopher Meek |