Lai, Lifeng

15 publications

NeurIPS 2025 Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models Yuchen Liang, Renxiang Huang, Lifeng Lai, Ness Shroff, Yingbin Liang

NeurIPS 2025 Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees Yuchen Liang, Yingbin Liang, Lifeng Lai, Ness Shroff

JMLR 2025 Efficiently Escaping Saddle Points in Bilevel Optimization Minhui Huang, Xuxing Chen, Kaiyi Ji, Shiqian Ma, Lifeng Lai

TMLR 2025 In-Context Learning for Mixture of Linear Regression: Existence, Generalization and Training Dynamics Yanhao Jin, Krishna Balasubramanian, Lifeng Lai

ICLR 2025 Transformers Handle Endogeneity in In-Context Linear Regression Haodong Liang, Krishna Balasubramanian, Lifeng Lai

NeurIPS 2024 A Huber Loss Minimization Approach to Mean Estimation Under User-Level Differential Privacy Puning Zhao, Lifeng Lai, Li Shen, Qingming Li, Jiafei Wu, Zhe Liu

TMLR 2024 Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty Guanlin Liu, Zhihan Zhou, Han Liu, Lifeng Lai

JMLR 2024 On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport Minhui Huang, Shiqian Ma, Lifeng Lai

ICML 2024 Risk-Sensitive Reward-Free Reinforcement Learning with CVaR Xinyi Ni, Guanlin Liu, Lifeng Lai

TMLR 2023 Action Poisoning Attacks on Linear Contextual Bandits Guanlin Liu, Lifeng Lai

NeurIPS 2023 Efficient Adversarial Attacks on Online Multi-Agent Reinforcement Learning Guanlin Liu, Lifeng Lai

ICML 2021 A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance Minhui Huang, Shiqian Ma, Lifeng Lai

AAAI 2021 Efficient Classification with Adaptive KNN Puning Zhao, Lifeng Lai

ICML 2021 Projection Robust Wasserstein Barycenters Minhui Huang, Shiqian Ma, Lifeng Lai

NeurIPS 2021 Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning Guanlin Liu, Lifeng Lai