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Disambiguation of "Jin, Yujia"

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Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss.

, , , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 866-882. PMLR, (2021)

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Yujia Cao

Yujia Dai

Yujia Yang

Hua Jing

Li Jin

 

Other publications of authors with the same name

Regularized Box-Simplex Games and Dynamic Decremental Bipartite Matching., , , and . ICALP, volume 229 of LIPIcs, page 77:1-77:20. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)ReSQueing Parallel and Private Stochastic Convex Optimization., , , , , , and . FOCS, page 2031-2058. IEEE, (2023)Stochastic Bias-Reduced Gradient Methods., , , , and . NeurIPS, page 10810-10822. (2021)VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation., , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 987-1063. PMLR, (2023)Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 2932-2952. PMLR, (2023)Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation., , , and . J. Electron. Commer. Organ., 14 (1): 64-75 (2016)The Complexity of Infinite-Horizon General-Sum Stochastic Games., , and . ITCS, volume 251 of LIPIcs, page 76:1-76:20. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss., , , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 866-882. PMLR, (2021)Optimal and Adaptive Monteiro-Svaiter Acceleration., , , , and . NeurIPS, (2022)Towards Tight Bounds on the Sample Complexity of Average-reward MDPs., and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5055-5064. PMLR, (2021)