| 2018 | Bandits with Side Observations: Bounded vs. Logarithmic Regret. | Rmy Degenne, Evrard Garcelon, Vianney Perchet |
| 2018 | Hyperspherical Variational Auto-Encoders. | Tim R. Davidson, Luca Falorsi, Nicola De Cao, Thomas Kipf, Jakub M. Tomczak |
| 2018 | Learning the Causal Structure of Copula Models with Latent Variables. | Ruifei Cui, Perry Groot, Moritz Schauer, Tom Heskes |
| 2018 | Dissociation-Based Oblivious Bounds for Weighted Model Counting. | Li Chou, Wolfgang Gatterbauer, Vibhav Gogate |
| 2018 | A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. | Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen |
| 2018 | Densified Winner Take All (WTA) Hashing for Sparse Datasets. | Beidi Chen, Anshumali Shrivastava |
| 2018 | Fast Policy Learning through Imitation and Reinforcement. | Ching-An Cheng, Xinyan Yan, Nolan Wagener, Byron Boots |
| 2018 | Quantile-Regret Minimisation in Infinitely Many-Armed Bandits. | Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan |
| 2018 | Learning to select computations. | Frederick Callaway, Sayan Gul, Paul M. Krueger, Thomas L. Griffiths, Falk Lieder |
| 2018 | Abstraction Sampling in Graphical Models. | Filjor Broka, Rina Dechter, Alexander Ihler, Kalev Kask |
| 2018 | Causal Discovery in the Presence of Measurement Error. | Tineke Blom, Anna Klimovskaia, Sara Magliacane, Joris M. Mooij |
| 2018 | Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks. | Benjamin Bloem-Reddy, Adam Foster, Emile Mathieu, Yee Whye Teh |
| 2018 | Sparse-Matrix Belief Propagation. | Reid Bixler, Bert Huang |
| 2018 | Sylvester Normalizing Flows for Variational Inference. | Rianne van den Berg, Leonard Hasenclever, Jakub M. Tomczak, Max Welling |
| 2018 | Constant Step Size Stochastic Gradient Descent for Probabilistic Modeling. | Dmitry Babichev, Francis R. Bach |
| 2018 | Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning. | Yuval Atzmon, Gal Chechik |
| 2018 | Per-decision Multi-step Temporal Difference Learning with Control Variates. | Kristopher De Asis, Richard S. Sutton |
| 2018 | Decentralized Planning for Non-dedicated Agent Teams with Submodular Rewards in Uncertain Environments. | Pritee Agrawal, Pradeep Varakantham, William Yeoh |
| 2018 | Combining Knowledge and Reasoning through Probabilistic Soft Logic for Image Puzzle Solving. | Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos |
| 2018 | Learning Time Series Segmentation Models from Temporally Imprecise Labels. | Roy Adams, Benjamin M. Marlin |
| 2018 | Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results. | Kun Zhang, Mingming Gong, Joseph D. Ramsey, Kayhan Batmanghelich, Peter Spirtes, Clark Glymour |
| 2017 | Composing Inference Algorithms as Program Transformations. | Robert Zinkov, Chung-chieh Shan |
| 2017 | Holographic Feature Representations of Deep Networks. | Martin A. Zinkevich, Alex Davies, Dale Schuurmans |
| 2017 | The Total Belief Theorem. | Chunlai Zhou, Fabio Cuzzolin |
| 2017 | Stochastic L-BFGS Revisited: Improved Convergence Rates and Practical Acceleration Strategies. | Renbo Zhao, William B. Haskell, Vincent Y. F. Tan |