| 2022 | Predicting the impact of treatments over time with uncertainty aware neural differential equations. | Edward De Brouwer, Javier Gonzlez, Stephanie L. Hyland |
| 2022 | Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals. | James A. Brofos, Marylou Gabri, Marcus A. Brubaker, Roy R. Lederman |
| 2022 | Pick-and-Mix Information Operators for Probabilistic ODE Solvers. | Nathanael Bosch, Filip Tronarp, Philipp Hennig |
| 2022 | A Bandit Model for Human-Machine Decision Making with Private Information and Opacity. | Sebastian Bordt, Ulrike von Luxburg |
| 2022 | The role of optimization geometry in single neuron learning. | Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine |
| 2022 | Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape. | Devansh Bisla, Jing Wang, Anna Choromanska |
| 2022 | On Margins and Derandomisation in PAC-Bayes. | Felix Biggs, Benjamin Guedj |
| 2022 | Maillard Sampling: Boltzmann Exploration Done Optimally. | Jie Bian, Kwang-Sung Jun |
| 2022 | Model-agnostic out-of-distribution detection using combined statistical tests. | Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn, Hugo Sntaire, Hugo Schmutz, Lars Maale, Sren Hauberg, Jes Frellsen |
| 2022 | Unifying Importance Based Regularisation Methods for Continual Learning. | Frederik Benzing |
| 2022 | SHAFF: Fast and consistent SHApley eFfect estimates via random Forests. | Clment Bnard, Grard Biau, Sbastien Da Veiga, Erwan Scornet |
| 2022 | A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy. | Kevin Bello, Chuyang Ke, Jean Honorio |
| 2022 | Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity. | Joshua K. Behne, Galen Reeves |
| 2022 | Efficient Algorithms for Extreme Bandits. | Dorian Baudry, Yoan Russac, Emilie Kaufmann |
| 2022 | MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption. | Alexander Bartler, Andre Bhler, Felix Wiewel, Mario Dbler, Bin Yang |
| 2022 | A Non-asymptotic Approach to Best-Arm Identification for Gaussian Bandits. | Antoine Barrier, Aurlien Garivier, Toms Kock |
| 2022 | Certifiably Robust Variational Autoencoders. | Ben Barrett, Alexander Camuto, Matthew Willetts, Tom Rainforth |
| 2022 | A Spectral Perspective of DNN Robustness to Label Noise. | Oshrat Bar, Amnon Drory, Raja Giryes |
| 2022 | Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation. | Anas Barakat, Pascal Bianchi, Julien Lehmann |
| 2022 | Flexible Accuracy for Differential Privacy. | Aman Bansal, Rahul Chunduru, Deepesh Data, Manoj Prabhakaran |
| 2022 | On the equivalence of Oja's algorithm and GROUSE. | Laura Balzano |
| 2022 | Adaptively Partitioning Max-Affine Estimators for Convex Regression. | Gbor Balzs |
| 2022 | Approximate Function Evaluation via Multi-Armed Bandits. | Tavor Z. Baharav, Gary Cheng, Mert Pilanci, David Tse |
| 2022 | Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond. | Dheeraj Baby, Yu-Xiang Wang |
| 2022 | Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks. | Amy E. Babay, Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti |