| 2024 | Faster Perfect Sampling of Bayesian Network Structures. | Juha Harviainen, Mikko Koivisto |
| 2024 | No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes. | Minbiao Han, Fengxue Zhang, Yuxin Chen |
| 2024 | Characterizing Data Point Vulnerability as Average-Case Robustness. | Tessa Han, Suraj Srinivas, Himabindu Lakkaraju |
| 2024 | One Shot Inverse Reinforcement Learning for Stochastic Linear Bandits. | Etash Guha, Jim James, Krishna Acharya, Vidya Muthukumar, Ashwin Pananjady |
| 2024 | ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding. | Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata |
| 2024 | GeONet: a neural operator for learning the Wasserstein geodesic. | Andrew Gracyk, Xiaohui Chen |
| 2024 | Identifying Homogeneous and Interpretable Groups for Conformal Prediction. | Natalia Martinez Gil, Dhaval Patel, Chandra Reddy, Giridhar Ganapavarapu, Roman Vaculn, Jayant Kalagnanam |
| 2024 | Bootstrap Your Conversions: Thompson Sampling for Partially Observable Delayed Rewards. | Marco Gigli, Fabio Stella |
| 2024 | Uncertainty Estimation with Recursive Feature Machines. | Daniel Gedon, Amirhesam Abedsoltan, Thomas B. Schn, Mikhail Belkin |
| 2024 | Consistency Regularization for Domain Generalization with Logit Attribution Matching. | Han Gao, Kaican Li, Weiyan Xie, Zhi Lin, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang |
| 2024 | Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing. | Nicola Franco, Jakob Spiegelberg, Jeanette Miriam Lorenz, Stephan Gnnemann |
| 2024 | Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games. | Yi Feng, Ping Li, Ioannis Panageas, Xiao Wang |
| 2024 | Generalized Expected Utility as a Universal Decision Rule - A Step Forward. | Hlne Fargier, Pierre Pomeret-Coquot |
| 2024 | Multi-fidelity Bayesian Optimization with Multiple Information Sources of Input-dependent Fidelity. | Mingzhou Fan, Byung-Jun Yoon, Edward R. Dougherty, Nathan M. Urban, Francis J. Alexander, Raymundo Arryave, Xiaoning Qian |
| 2024 | Enhancing Patient Recruitment Response in Clinical Trials: an Adaptive Learning Framework. | Xinying Fang, Shouhao Zhou |
| 2024 | Center-Based Relaxed Learning Against Membership Inference Attacks. | Xingli Fang, Jung-Eun Kim |
| 2024 | EntProp: High Entropy Propagation for Improving Accuracy and Robustness. | Shohei Enomoto |
| 2024 | Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions. | Mai Elkady, Thu Bui, Bruno Ribeiro, David I. Inouye |
| 2024 | Approximate Bayesian Computation with Path Signatures. | Joel Dyer, Patrick Cannon, Sebastian M. Schmon |
| 2024 | Bandits with Knapsacks and Predictions. | Davide Drago, Andrea Celli, Marek Elis |
| 2024 | Online Policy Optimization for Robust Markov Decision Process. | Jing Dong, Jingwei Li, Baoxiang Wang, Jingzhao Zhang |
| 2024 | Learning Distributionally Robust Tractable Probabilistic Models in Continuous Domains. | Hailiang Dong, James Amato, Vibhav Gogate, Nicholas Ruozzi |
| 2024 | End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty. | My H. Dinh, James Kotary, Ferdinando Fioretto |
| 2024 | Learning to Rank for Active Learning via Multi-Task Bilevel Optimization. | Zixin Ding, Si Chen, Ruoxi Jia, Yuxin Chen |
| 2024 | Calibrated and Conformal Propensity Scores for Causal Effect Estimation. | Shachi Deshpande, Volodymyr Kuleshov |