| 2024 | Neural Architecture Search Finds Robust Models by Knowledge Distillation. | Utkarsh Nath, Yancheng Wang, Yingzhen Yang |
| 2024 | Efficient Interactive Maximization of BP and Weakly Submodular Objectives. | Adhyyan Narang, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel, Jeff A. Bilmes |
| 2024 | General Markov Model for Solving Patrolling Games. | Andrzej Nagrko, Marcin Waniek, Malgorzata Rg, Michal Tomasz Godziszewski, Barbara Rosiak, Tomasz Pawel Michalak |
| 2024 | Partial identification of the maximum mean discrepancy with mismeasured data. | Ron Nafshi, Maggie Makar |
| 2024 | Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes. | Sang Bin Moon, Abolfazl Hashemi |
| 2024 | Evaluating Bayesian deep learning for radio galaxy classification. | Devina Mohan, Anna M. M. Scaife |
| 2024 | Approximation Algorithms for Observer Aware MDPs. | Shuwa Miura, Olivier Buffet, Shlomo Zilberstein |
| 2024 | Characterising Interventions in Causal Games. | Manuj Mishra, James Fox, Michael J. Wooldridge |
| 2024 | Invariant Causal Prediction with Local Models. | Alexander Mey, Rui Manuel Castro |
| 2024 | Quantization of Large Language Models with an Overdetermined Basis. | Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan V. Oseledets, Ekaterina A. Muravleva, Aleksandr Mikhalev, Boris Kashin |
| 2024 | Learning Causal Abstractions of Linear Structural Causal Models. | Riccardo Massidda, Sara Magliacane, Davide Bacciu |
| 2024 | Learning relevant contextual variables within Bayesian optimization. | Julien Martinelli, Ayush Bharti, Armi Tiihonen, S. T. John, Louis Filstroff, Sabina J. Sloman, Patrick Rinke, Samuel Kaski |
| 2024 | Amortized Variational Inference: When and Why? | Charles C. Margossian, David M. Blei |
| 2024 | BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts. | Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Antonio Vergari, Andrea Passerini, Stefano Teso |
| 2024 | Identifying Causal Changes Between Linear Structural Equation Models. | Vineet Malik, Kevin Bello, Asish Ghoshal, Jean Honorio |
| 2024 | Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs. | Jacqueline R. M. A. Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang |
| 2024 | Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance. | Jorge Lora, Anindya Bhadra |
| 2024 | Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search. | Jiashun Liu, Xiaotian Hao, Jianye Hao, Yan Zheng, Yujing Hu, Changjie Fan, Tangjie Lv, Zhipeng Hu |
| 2024 | Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models. | Xinyang Liu, Dongsheng Wang, Bowei Fang, Miaoge Li, Yishi Xu, Zhibin Duan, Bo Chen, Mingyuan Zhou |
| 2024 | Transductive and Inductive Outlier Detection with Robust Autoencoders. | Ofir Lindenbaum, Yariv Aizenbud, Yuval Kluger |
| 2024 | Learning from Crowds with Dual-View K-Nearest Neighbor. | Jiao Li, Liangxiao Jiang, Xue Wu, Wenjun Zhang |
| 2024 | Label Consistency-based Worker Filtering for Crowdsourcing. | Jiao Li, Liangxiao Jiang, Chaoqun Li, Wenjun Zhang |
| 2024 | On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms. | Haoyu Lei, Amin Gohari, Farzan Farnia |
| 2024 | A General Identification Algorithm For Data Fusion Problems Under Systematic Selection. | Jaron Jia Rong Lee, AmirEmad Ghassami, Ilya Shpitser |
| 2024 | Common Event Tethering to Improve Prediction of Rare Clinical Events. | Quinn Lanners, Qin Weng, Marie-Louise Meng, Matthew M. Engelhard |