| 2023 | E(2)-Equivariant Vision Transformer. | Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He |
| 2023 | Provably Efficient Adversarial Imitation Learning with Unknown Transitions. | Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo |
| 2023 | Conformal Risk Control for Ordinal Classification. | Yunpeng Xu, Wenge Guo, Zhi Wei |
| 2023 | Two-stage holistic and contrastive explanation of image classification. | Weiyan Xie, Xiao-Hui Li, Zhi Lin, Leonard K. M. Poon, Caleb Chen Cao, Nevin L. Zhang |
| 2023 | A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization. | Tesi Xiao, Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi |
| 2023 | Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension. | Yue Wu, Jiafan He, Quanquan Gu |
| 2023 | Robust Quickest Change Detection for Unnormalized Models. | Suya Wu, Enmao Diao, Jie Ding, Taposh Banerjee, Vahid Tarokh |
| 2023 | Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. | Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger |
| 2023 | Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures? | Lisa Wimmer, Yusuf Sale, Paul Hofman, Bernd Bischl, Eyke Hllermeier |
| 2023 | Bidirectional Attention as a Mixture of Continuous Word Experts. | Kevin Christian Wibisono, Yixin Wang |
| 2023 | A constrained Bayesian approach to out-of-distribution prediction. | Ziyu Wang, Binjie Yuan, Jiaxun Lu, Bowen Ding, Yunfeng Shao, Qibin Wu, Jun Zhu |
| 2023 | Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits? | Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui |
| 2023 | A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning. | Yiqi Wang, Mengdi Xu, Laixi Shi, Yuejie Chi |
| 2023 | Robust distillation for worst-class performance: on the interplay between teacher and student objectives. | Serena Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon |
| 2023 | Diversity-enhanced probabilistic ensemble for uncertainty estimation. | Hanjing Wang, Qiang Ji |
| 2023 | On the Role of Generalization in Transferability of Adversarial Examples. | Yilin Wang, Farzan Farnia |
| 2023 | Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detection. | Yoav Wald, Suchi Saria |
| 2023 | A policy gradient approach for optimization of smooth risk measures. | Nithia Vijayan, Prashanth L. A. |
| 2023 | Probabilistic circuits that know what they don't know. | Fabrizio Ventola, Steven Braun, Zhongjie Yu, Martin Mundt, Kristian Kersting |
| 2023 | Bandits with costly reward observations. | Aaron David Tucker, Caleb Biddulph, Claire Wang, Thorsten Joachims |
| 2023 | SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. | Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena |
| 2023 | Fairness-aware class imbalanced learning on multiple subgroups. | Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Qi Long, Li Shen |
| 2023 | Two-stage Kernel Bayesian Optimization in High Dimensions. | Jian Tan, Niv Nayman |
| 2023 | Low-rank matrix recovery with unknown correspondence. | Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha |
| 2023 | Exploiting Inferential Structure in Neural Processes. | Dharmesh Tailor, Mohammad Emtiyaz Khan, Eric T. Nalisnick |