| 2017 | Learning the Structure of Probabilistic Sentential Decision Diagrams. | Yitao Liang, Jessa Bekker, Guy Van den Broeck |
| 2017 | Towards Conditional Independence Test for Relational Data. | Sanghack Lee, Vasant G. Honavar |
| 2017 | Self-Discrepancy Conditional Independence Test. | Sanghack Lee, Vasant G. Honavar |
| 2017 | Hybrid Deep Discriminative/Generative Models for Semi-Supervised Learning. | Volodymyr Kuleshov, Stefano Ermon |
| 2017 | AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models. | Karl Krauth, Edwin V. Bonilla, Kurt Cutajar, Maurizio Filippone |
| 2017 | On Loopy Belief Propagation - Local Stability Analysis for Non-Vanishing Fields. | Christian Knoll, Franz Pernkopf |
| 2017 | Embedding Senses via Dictionary Bootstrapping. | Byungkon Kang, Kyung-Ah Sohn |
| 2017 | Intelligent Robots in an Uncertain World. | Leslie Pack Kaelbling |
| 2017 | Inverse Reinforcement Learning via Deep Gaussian Process. | Ming Jin, Andreas C. Damianou, Pieter Abbeel, Costas J. Spanos |
| 2017 | Differentially Private Variational Inference for Non-conjugate Models. | Joonas Jlk, Antti Honkela, Onur Dikmen |
| 2017 | Probabilistic Program Abstractions. | Steven Holtzen, Todd D. Millstein, Guy Van den Broeck |
| 2017 | Machine Learning for Healthcare Data. | Katherine A. Heller |
| 2017 | Stein Variational Adaptive Importance Sampling. | Jun Han, Qiang Liu |
| 2017 | Continuously Tempered Hamiltonian Monte Carlo. | Matthew M. Graham, Amos J. Storkey |
| 2017 | Causal Discovery from Temporally Aggregated Time Series. | Mingming Gong, Kun Zhang, Bernhard Schlkopf, Clark Glymour, Dacheng Tao |
| 2017 | Learning and Inference with Expectations. | Amir Globerson |
| 2017 | Complexity of Solving Decision Trees with Skew-Symmetric Bilinear Utility. | Hugo Gilbert, Olivier Spanjaard |
| 2017 | A Probabilistic Framework for Multi-Label Learning with Unseen Labels. | Abhilash Gaure, Aishwarya Gupta, Vinay Kumar Verma, Piyush Rai |
| 2017 | Bayesian Inference of Log Determinants. | Jack K. Fitzsimons, Kurt Cutajar, Maurizio Filippone, Michael A. Osborne, Stephen J. Roberts |
| 2017 | Learning to Draw Samples with Amortized Stein Variational Gradient Descent. | Yihao Feng, Dilin Wang, Qiang Liu |
| 2017 | Structure Learning of Linear Gaussian Structural Equation Models with Weak Edges. | Marco Eigenmann, Preetam Nandy, Marloes H. Maathuis |
| 2017 | Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data. | Gintare Karolina Dziugaite, Daniel M. Roy |
| 2017 | Importance Sampling for Fair Policy Selection. | Shayan Doroudi, Philip S. Thomas, Emma Brunskill |
| 2017 | Interpreting Lion Behaviour as Probabilistic Programs. | Neil Dhir, Matthijs Vkr, Matthew Wijers, Andrew Markham, Frank D. Wood |
| 2017 | Value Directed Exploration in Multi-Armed Bandits with Structured Priors. | Bence Cserna, Marek Petrik, Reazul Hasan Russel, Wheeler Ruml |