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| 2025 | Just Trial Once: Ongoing Causal Validation of Machine Learning Models. | Jacob M. Chen, Michael Oberst |
| 2025 | Tuning-Free Coreset Markov Chain Monte Carlo via Hot DoG. | Naitong Chen, Jonathan H. Huggins, Trevor Campbell |
| 2025 | NRFlow: Towards Noise-Robust Generative Modeling via High-Order Mechanism. | Bo Chen, Chengyue Gong, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan, Xugang Ye |
| 2025 | Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees. | Emma Ceccherini, Ian Gallagher, Andrew Jones, Daniel John Lawson |
| 2025 | Creative Agents: Empowering Agents with Imagination for Creative Tasks. | Penglin Cai, Chi Zhang, Yuhui Fu, Haoqi Yuan, Zongqing Lu |
| 2025 | Fast Non-convex Matrix Sensing with Optimal Sample Complexity. | Jian-Feng Cai, Tong Wu, Ruizhe Xia |
| 2025 | Out-of-distribution Robust Optimization. | Zhongze Cai, Hansheng Jiang, Xiaocheng Li |
| 2025 | Epistemic Uncertainty in Conformal Scores: A Unified Approach. | Luben M. C. Cabezas, Vagner S. Santos, Thiago R. Ramos, Rafael Izbicki |
| 2025 | Stein Variational Evolution Strategies. | Cornelius V. Braun, Robert Tjarko Lange, Marc Toussaint |
| 2025 | Using Submodular Optimization to Approximate Minimum-Size Abductive Path Explanations for Tree-Based Models. | Louenas Bounia |
| 2025 | Multi-Cost-Bounded Reachability Analysis of POMDPs. | Alexander Bork, Joost-Pieter Katoen, Tim Quatmann, Svenja Stein |
| 2025 | BELIEF - Bayesian Sign Entropy Regularization for LIME Framework. | Revoti Prasad Bora, Philipp Terhrst, Raymond N. J. Veldhuis, Raghavendra Ramachandra, Kiran Bylappa Raja |
| 2025 | Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed Budget. | Jie Bian, Vincent Y. F. Tan |
| 2025 | Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses. | Sourbh Bhadane, Joris M. Mooij, Philip A. Boeken, Onno Zoeter |
| 2025 | Can a Bayesian Oracle Prevent Harm from an Agent? | Yoshua Bengio, Michael K. Cohen, Nikolay Malkin, Matt MacDermott, Damiano Fornasiere, Pietro Greiner, Younesse Kaddar |
| 2025 | Limit-sure Reachability for Small Memory Policies in POMDPs is NP-complete. | Ali Asadi, Krishnendu Chatterjee, Raimundo Saona, Ali Shafiee |
| 2025 | Lower Bound on Howard Policy Iteration for Deterministic Markov Decision Processes. | Ali Asadi, Krishnendu Chatterjee, Jakob de Raaij |
| 2025 | Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals. | Marcel Arpogaus, Thomas Kneib, Thomas Nagler, David Rgamer |
| 2025 | Evasion Attacks Against Bayesian Predictive Models. | Pablo G. Arce, Roi Naveiro, David Ros Insua |
| 2025 | Sparse Structure Exploration and Re-optimization for Vision Transformer. | Sangho An, Jinwoo Kim, Keonho Lee, Jingang Huh, Chanwoong Kwak, Yujin Lee, Moonsub Jin, Jangho Kim |
| 2025 | Expert-In-The-Loop Causal Discovery: Iterative Model Refinement Using Expert Knowledge. | Ankur Ankan, Johannes Textor |
| 2025 | MOHITO: Multi-Agent Reinforcement Learning using Hypergraphs for Task-Open Systems. | Gayathri Anil, Prashant Doshi, Daniel Redder, Adam Eck, Leen-Kiat Soh |
| 2025 | Symbiotic Local Search for Small Decision Tree Policies in MDPs. | Roman Andriushchenko, Milan Ceska, Debraj Chakraborty, Sebastian Junges, Jan Kretnsk, Filip Mack |
| 2025 | CATE Estimation With Potential Outcome Imputation From Local Regression. | Ahmed Aloui, Juncheng Dong, Cat Phuoc Le, Vahid Tarokh |