| 2023 | Causal Entropy Optimization. | Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas |
| 2023 | Probabilistic Querying of Continuous-Time Event Sequences. | Alex Boyd, Yuxin Chang, Stephan Mandt, Padhraic Smyth |
| 2023 | Exploration in Reward Machines with Low Regret. | Hippolyte Bourel, Anders Jonsson, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi |
| 2023 | Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves. | David Bosch, Ashkan Panahi, Aya zelikkale, Devdatt P. Dubhashi |
| 2023 | Isotropic Gaussian Processes on Finite Spaces of Graphs. | Viacheslav Borovitskiy, Mohammad Reza Karimi, Vignesh Ram Somnath, Andreas Krause |
| 2023 | From Shapley Values to Generalized Additive Models and back. | Sebastian Bordt, Ulrike von Luxburg |
| 2023 | Identification of Blackwell Optimal Policies for Deterministic MDPs. | Victor Boone, Bruno Gaujal |
| 2023 | Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems. | Matthias Bitzer, Mona Meister, Christoph Zimmer |
| 2023 | Recurrent Neural Networks and Universal Approximation of Bayesian Filters. | Adrian N. Bishop, Edwin V. Bonilla |
| 2023 | Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty. | Felix Biggs, Benjamin Guedj |
| 2023 | On Universal Portfolios with Continuous Side Information. | Alankrita Bhatt, J. Jon Ryu, Young-Han Kim |
| 2023 | Piecewise Stationary Bandits under Risk Criteria. | Sujay Bhatt, Guanhua Fang, Ping Li |
| 2023 | Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws. | Kush Bhatia, Wenshuo Guo, Jacob Steinhardt |
| 2023 | Competing against Adaptive Strategies in Online Learning via Hints. | Aditya Bhaskara, Kamesh Munagala |
| 2023 | Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods. | Aleksandr Beznosikov, Eduard Gorbunov, Hugo Berard, Nicolas Loizou |
| 2023 | On the Limitations of the Elo, Real-World Games are Transitive, not Additive. | Quentin Bertrand, Wojciech Marian Czarnecki, Gauthier Gidel |
| 2023 | To Impute or not to Impute? Missing Data in Treatment Effect Estimation. | Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar |
| 2023 | Provable Safe Reinforcement Learning with Binary Feedback. | Andrew Bennett, Dipendra Misra, Nathan Kallus |
| 2023 | Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach. | Syrine Belakaria, Janardhan Rao Doppa, Nicol Fusi, Rishit Sheth |
| 2023 | On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data. | Tina Behnia, Ganesh Ramachandra Kini, Vala Vakilian, Christos Thrampoulidis |
| 2023 | High Probability Bounds for Stochastic Continuous Submodular Maximization. | Evan Becker, Jingdong Gao, Ted Zadouri, Baharan Mirzasoleiman |
| 2023 | Principled Approaches for Private Adaptation from a Public Source. | Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh |
| 2023 | A Faster Sampler for Discrete Determinantal Point Processes. | Simon Barthelm, Nicolas Tremblay, Pierre-Olivier Amblard |
| 2023 | Adaptive Cholesky Gaussian Processes. | Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muoz, Wouter Boomsma, Jes Frellsen, Sren Hauberg |
| 2023 | Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data. | Batiste Le Bars, Aurlien Bellet, Marc Tommasi, Erick Lavoie, Anne-Marie Kermarrec |