Papers
On the Relationship Between Explanation and Prediction: A Causal View
Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith et al.
On the Robustness of Randomized Ensembles to Adversarial Perturbations
Hassan Dbouk, Naresh Shanbhag
On the Robustness of Text Vectorizers
Rémi Catellier, Samuel Vaiter, Damien Garreau
On the Role of Attention in Prompt-tuning
Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi et al.
On the Statistical Benefits of Temporal Difference Learning
David Cheikhi, Daniel Russo
On the Stepwise Nature of Self-Supervised Learning
James B Simon, Maksis Knutins, Liu Ziyin et al.
On the Training Instability of Shuffling SGD with Batch Normalization
David Xing Wu, Chulhee Yun, Suvrit Sra
On the Within-Group Fairness of Screening Classifiers
Nastaran Okati, Stratis Tsirtsis, Manuel Gomez Rodriguez
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning
Chenzhuang Du, Jiaye Teng, Tingle Li et al.
On User-Level Private Convex Optimization
Badih Ghazi, Pritish Kamath, Ravi Kumar et al.
OpenFE: Automated Feature Generation with Expert-level Performance
Tianping Zhang, Zheyu Aqa Zhang, Zhiyuan Fan et al.
Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization
Zejia Weng, Xitong Yang, Ang Li et al.
Open-Vocabulary Universal Image Segmentation with MaskCLIP
Zheng Ding, Jieke Wang, Zhuowen Tu
Opponent-Limited Online Search for Imperfect Information Games
Weiming Liu, Haobo Fu, Qiang Fu et al.
Optimal Arms Identification with Knapsacks
Shaoang Li, Lan Zhang, Yingqi Yu et al.
Optimal Convergence Rates for Agnostic Nyström Kernel Learning
Jian Li, Yong Liu, Weiping Wang
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
Tongzhou Wang, Antonio Torralba, Phillip Isola et al.
Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs
Junkai Zhang, Weitong Zhang, Quanquan Gu
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits
Jongyeong Lee, Junya Honda, Chao-Kai Chiang et al.
Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
Ayush Bharti, Masha Naslidnyk, Oscar Key et al.
Optimal No-Regret Learning for One-Sided Lipschitz Functions
Paul Duetting, Guru Guruganesh, Jon Schneider et al.
Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits
Heyang Zhao, Dongruo Zhou, Jiafan He et al.
Optimal randomized multilevel Monte Carlo for repeatedly nested expectations
Yasa Syed, Guanyang Wang
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion
Martino Bernasconi, Matteo Castiglioni, Andrea Celli et al.