| 2024 | Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks. | Jy-yong Sohn, Dohyun Kwon, Seoyeon An, Kangwook Lee |
| 2024 | Bayesian Active Learning in the Presence of Nuisance Parameters. | Sabina J. Sloman, Ayush Bharti, Julien Martinelli, Samuel Kaski |
| 2024 | BanditQ: Fair Bandits with Guaranteed Rewards. | Abhishek Sinha |
| 2024 | Response Time Improves Gaussian Process Models for Perception and Preferences. | Michael Shvartsman, Benjamin Letham, Eytan Bakshy, Stephen Keeley |
| 2024 | Cooperative Meta-Learning with Gradient Augmentation. | Jongyun Shin, Seungjin Han, Jangho Kim |
| 2024 | Unsupervised Feature Selection towards Pattern Discrimination Power. | Wangduk Seo, Jaesung Lee |
| 2024 | Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. | Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Nadja Klein, Sahin Albayrak |
| 2024 | Label-wise Aleatoric and Epistemic Uncertainty Quantification. | Yusuf Sale, Paul Hofman, Timo Lhr, Lisa Wimmer, Thomas Nagler, Eyke Hllermeier |
| 2024 | A Graph Theoretic Approach for Preference Learning with Feature Information. | Aadirupa Saha, Arun Rajkumar |
| 2024 | Anomaly Detection with Variance Stabilized Density Estimation. | Amit Rozner, Barak Battash, Henry Li, Lior Wolf, Ofir Lindenbaum |
| 2024 | To smooth a cloud or to pin it down: Expressiveness guarantees and insights on score matching in denoising diffusion models. | Teodora Reu, Francisco Vargas, Anna Kerekes, Michael M. Bronstein |
| 2024 | Decision-Focused Evaluation of Worst-Case Distribution Shift. | Kevin Ren, Yewon Byun, Bryan Wilder |
| 2024 | Performative Reinforcement Learning in Gradually Shifting Environments. | Ben Rank, Stelios Triantafyllou, Debmalya Mandal, Goran Radanovic |
| 2024 | Graph Feedback Bandits with Similar Arms. | Han Qi, Guo Fei, Li Zhu |
| 2024 | χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains. | Harsh Poonia, Moritz Willig, Zhongjie Yu, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami |
| 2024 | Neural Optimal Transport with Lagrangian Costs. | Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos |
| 2024 | Zero Inflation as a Missing Data Problem: a Proxy-based Approach. | Trung Phung, Jaron J. R. Lee, Opeyemi Oladapo-Shittu, Eili Y. Klein, Ayse Pinar Gurses, Susan M. Hannum, Kimberly Weems, Jill A. Marsteller, Sara E. Cosgrove, Sara C. Keller, Ilya Shpitser |
| 2024 | Non-stationary Domain Generalization: Theory and Algorithm. | Thai-Hoang Pham, Xueru Zhang, Ping Zhang |
| 2024 | Value-Based Abstraction Functions for Abstraction Sampling. | Bobak Pezeshki, Kalev Kask, Alexander Ihler, Rina Dechter |
| 2024 | Quantifying Representation Reliability in Self-Supervised Learning Models. | Young-Jin Park, Hao Wang, Shervin Ardeshir, Navid Azizan |
| 2024 | Finite-Time Analysis of Three-Timescale Constrained Actor-Critic and Constrained Natural Actor-Critic Algorithms. | Prashansa Panda, Shalabh Bhatnagar |
| 2024 | Efficiently Deciding Algebraic Equivalence of Bow-Free Acyclic Path Diagrams. | Thijs van Ommen |
| 2024 | Cold-start Recommendation by Personalized Embedding Region Elicitation. | Hieu Trung Nguyen, Duy Nguyen, Khoa D. Doan, Viet Anh Nguyen |
| 2024 | A Generalized Bayesian Approach to Distribution-on-Distribution Regression. | Tin Lok James Ng |
| 2024 | Extremely Greedy Equivalence Search. | Achille Nazaret, David M. Blei |