Papers
On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming
Gregory Dexter, Agniva Chowdhury, Haim Avron et al.
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum
Hongchang Gao, Junyi Li, Heng Huang
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
Lucas Agussurja, Xinyi Xu, Bryan Kian Hsiang Low
On the Difficulty of Defending Self-Supervised Learning against Model Extraction
Adam Dziedzic, Nikita Dhawan, Muhammad Ahmad Kaleem et al.
On the Effects of Artificial Data Modification
Antonia Marcu, Adam Prugel-Bennett
On the Equivalence Between Temporal and Static Equivariant Graph Representations
Jianfei Gao, Bruno Ribeiro
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions
Lai Tian, Kaiwen Zhou, Anthony Man-Cho So
On the Finite-Time Performance of the Knowledge Gradient Algorithm
Yanwen Li, Siyang Gao
On the Generalization Analysis of Adversarial Learning
Waleed Mustafa, Yunwen Lei, Marius Kloft
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil et al.
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games
Robert Loftin, Frans A Oliehoek
On the Learning of Non-Autoregressive Transformers
Fei Huang, Tianhua Tao, Hao Zhou et al.
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
Jinxin Zhou, Xiao Li, Tianyu Ding et al.
On the Practicality of Deterministic Epistemic Uncertainty
Janis Postels, Mattia Segù, Tao Sun et al.
On the Robustness of CountSketch to Adaptive Inputs
Edith Cohen, Xin Lyu, Jelani Nelson et al.
On the Role of Discount Factor in Offline Reinforcement Learning
Hao Hu, Yiqin Yang, Qianchuan Zhao et al.
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs
Yuanzhou Chen, Jiafan He, Quanquan Gu
On the Statistical Benefits of Curriculum Learning
Ziping Xu, Ambuj Tewari
On the Surrogate Gap between Contrastive and Supervised Losses
Han Bao, Yoshihiro Nagano, Kento Nozawa
On Transportation of Mini-batches: A Hierarchical Approach
Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen et al.
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation
Xiaohong Chen, Zhengling Qi
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
Hongxin Wei, Lue Tao, Renchunzi Xie et al.
Optimal Algorithms for Mean Estimation under Local Differential Privacy
Hilal Asi, Vitaly Feldman, Kunal Talwar
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
Wei Jiang, Bokun Wang, Yibo Wang et al.
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits
Aadirupa Saha, Shubham Gupta