| 2017 | How Good Are My Predictions? Efficiently Approximating Precision-Recall Curves for Massive Datasets. | Ashish Sabharwal, Hanie Sedghi |
| 2017 | Causal Consistency of Structural Equation Models. | Paul K. Rubenstein, Sebastian Weichwald, Stephan Bongers, Joris M. Mooij, Dominik Janzing, Moritz Grosse-Wentrup, Bernhard Schlkopf |
| 2017 | Snorkel: Beyond Hand-labeled Data. | Christopher R |
| 2017 | Counting Markov Equivalence Classes by Number of Immoralities. | Adityanarayanan Radhakrishnan, Liam Solus, Caroline Uhler |
| 2017 | Learning to Acquire Information. | Yewen Pu, Leslie Pack Kaelbling, Armando Solar-Lezama |
| 2017 | A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units. | Niranjani Prasad, Li-Fang Cheng, Corey Chivers, Michael Draugelis, Barbara E. Engelhardt |
| 2017 | Interpreting and Using CPDAGs With Background Knowledge. | Emilija Perkovic, Markus Kalisch, Marloes H. Maathuis |
| 2017 | Near-Optimal Interdiction of Factored MDPs. | Swetasudha Panda, Yevgeniy Vorobeychik |
| 2017 | Effective sketching methods for value function approximation. | Yangchen Pan, Erfan Sadeqi Azer, Martha White |
| 2017 | Iterative Decomposition Guided Variable Neighborhood Search for Graphical Model Energy Minimization. | Abdelkader Ouali, David Allouche, Simon de Givry, Samir Loudni, Yahia Lebbah, Lakhdar Loukil |
| 2017 | Algebraic Equivalence Class Selection for Linear Structural Equation Models. | Thijs van Ommen, Joris M. Mooij |
| 2017 | Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels. | Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang |
| 2017 | Provable Inductive Robust PCA via Iterative Hard Thresholding. | U. N. Niranjan, Arun Rajkumar, Theja Tulabandhula |
| 2017 | Online Constrained Model-based Reinforcement Learning. | Benjamin van Niekerk, Andreas C. Damianou, Benjamin Rosman |
| 2017 | Supervised Restricted Boltzmann Machines. | Tu Dinh Nguyen, Dinh Q. Phung, Viet Huynh, Trung Le |
| 2017 | Approximate Evidential Reasoning Using Local Conditioning and Conditional Belief Functions. | Van Nguyen |
| 2017 | Learning Approximately Objective Priors. | Eric T. Nalisnick, Padhraic Smyth |
| 2017 | Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search. | Stephen Mussmann, Daniel Levy, Stefano Ermon |
| 2017 | Adversarial Sets for Regularising Neural Link Predictors. | Pasquale Minervini, Thomas Demeester, Tim Rocktschel, Sebastian Riedel |
| 2017 | A Practical Method for Solving Contextual Bandit Problems Using Decision Trees. | Adam N. Elmachtoub, Ryan McNellis, Sechan Oh, Marek Petrik |
| 2017 | Synthesis of Strategies in Influence Diagrams. | Manuel Luque, Manuel Arias, Francisco Javier Dez |
| 2017 | Stein Variational Policy Gradient. | Yang Liu, Prajit Ramachandran, Qiang Liu, Jian Peng |
| 2017 | Fair Optimal Stopping Policy for Matching with Mediator. | Yang Liu |
| 2017 | Shortest Path under Uncertainty: Exploration versus Exploitation. | Zhan Wei Lim, David Hsu, Wee Sun Lee |
| 2017 | Triply Stochastic Gradients on Multiple Kernel Learning. | Xiang Li, Bin Gu, Shuang Ao, Huaimin Wang, Charles X. Ling |