Tianbao Yang

9 catalog papers. Name-matched publications do not establish a verified researcher identity.

Publications

• Universal Online Convex Optimization Meets Second-order Bounds — Journal of Machine Learning Research 2025
• Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition — Journal of Machine Learning Research 2023
• Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning — Journal of Machine Learning Research 2023
• First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems — Journal of Machine Learning Research 2021
• A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints — Journal of Machine Learning Research 2020
• Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion — Journal of Machine Learning Research 2019
• RSG: Beating Subgradient Method without Smoothness and Strong Convexity — Journal of Machine Learning Research 2018
• Distributed Stochastic Variance Reduced Gradient Methods by Sampling Extra Data with Replacement — Journal of Machine Learning Research 2017
• Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints — Journal of Machine Learning Research 2012