| 2021 | Formal verification of neural networks for safety-critical tasks in deep reinforcement learning. | Davide Corsi, Enrico Marchesini, Alessandro Farinelli |
| 2021 | Scaling Hamiltonian Monte Carlo inference for Bayesian neural networks with symmetric splitting. | Adam D. Cobb, Brian Jalaian |
| 2021 | Featurized density ratio estimation. | Kristy Choi, Madeline Liao, Stefano Ermon |
| 2021 | Combinatorial semi-bandit in the non-stationary environment. | Wei Chen, Liwei Wang, Haoyu Zhao, Kai Zheng |
| 2021 | Contingency-aware influence maximization: A reinforcement learning approach. | Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe |
| 2021 | Multi-task and meta-learning with sparse linear bandits. | Leonardo Cella, Massimiliano Pontil |
| 2021 | Variational inference with continuously-indexed normalizing flows. | Anthony L. Caterini, Robert Cornish, Dino Sejdinovic, Arnaud Doucet |
| 2021 | Time-variant variational transfer for value functions. | Giuseppe Canonaco, Andrea Soprani, Matteo Giuliani, Andrea Castelletti, Manuel Roveri, Marcello Restelli |
| 2021 | An optimization and generalization analysis for max-pooling networks. | Alon Brutzkus, Amir Globerson |
| 2021 | Learning in Multi-Player Stochastic Games. | William Brown |
| 2021 | Faster lifting for two-variable logic using cell graphs. | Timothy van Bremen, Ondrej Kuzelka |
| 2021 | Optimized auxiliary particle filters: adapting mixture proposals via convex optimization. | Nicola Branchini, Vctor Elvira |
| 2021 | Min/max stability and box distributions. | Michael Boratko, Javier Burroni, Shib Sankar Dasgupta, Andrew McCallum |
| 2021 | A Bayesian nonparametric conditional two-sample test with an application to Local Causal Discovery. | Philip A. Boeken, Joris M. Mooij |
| 2021 | Sum-product laws and efficient algorithms for imprecise Markov chains. | Jasper De Bock, Alexander Erreygers, Thomas Krak |
| 2021 | Improving approximate optimal transport distances using quantization. | Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon |
| 2021 | Sequential core-set Monte Carlo. | Boyan Beronov, Christian Weilbach, Frank Wood, Trevor Campbell |
| 2021 | A kernel two-sample test with selection bias. | Alexis Bellot, Mihaela van der Schaar |
| 2021 | Application of kernel hypothesis testing on set-valued data. | Alexis Bellot, Mihaela van der Schaar |
| 2021 | Action redundancy in reinforcement learning. | Nir Baram, Guy Tennenholtz, Shie Mannor |
| 2021 | Unsupervised constrained community detection via self-expressive graph neural network. | Sambaran Bandyopadhyay, Vishal Peter |
| 2021 | ReZero is all you need: fast convergence at large depth. | Thomas Bachlechner, Bodhisattwa Prasad Majumder, Huanru Henry Mao, Gary Cottrell, Julian J. McAuley |
| 2021 | Asynchronous ε-Greedy Bayesian Optimisation. | George De Ath, Richard M. Everson, Jonathan E. Fieldsend |
| 2021 | Constrained labeling for weakly supervised learning. | Chidubem Arachie, Bert Huang |
| 2021 | Identifying regions of trusted predictions. | Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner |