受强制性开放获取政策约束的文章 - Tianyuan Jin了解详情
可在其他位置公开访问的文章：9 篇
Mots: Minimax optimal thompson sampling
T Jin, P Xu, J Shi, X Xiao, Q Gu
International Conference on Machine Learning, 5074-5083, 2021
强制性开放获取政策： US National Science Foundation, National Research Foundation, Singapore
Double explore-then-commit: Asymptotic optimality and beyond
T Jin, P Xu, X Xiao, Q Gu
Conference on Learning Theory, 2584-2633, 2021
强制性开放获取政策： US National Science Foundation, National Research Foundation, Singapore
Unconstrained submodular maximization with modular costs: Tight approximation and application to profit maximization
T Jin, Y Yang, R Yang, J Shi, K Huang, X Xiao
Proceedings of the VLDB Endowment 14 (10), 1756-1768, 2021
强制性开放获取政策： Research Grants Council, Hong Kong, National Research Foundation, Singapore
Optimal streaming algorithms for multi-armed bandits
T Jin, K Huang, J Tang, X Xiao
International Conference on Machine Learning, 5045-5054, 2021
强制性开放获取政策： National Research Foundation, Singapore
Efficient Pure Exploration in Adaptive Round model
T Jin, J Shi, X Xiao, E Chen
Advances in Neural Information Processing Systems, 6605-6614, 2019
强制性开放获取政策： 国家自然科学基金委员会
Almost optimal anytime algorithm for batched multi-armed bandits
T Jin, J Tang, P Xu, K Huang, X Xiao, Q Gu
International Conference on Machine Learning, 5065-5073, 2021
强制性开放获取政策： US National Science Foundation, National Research Foundation, Singapore
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits
T Jin, P Xu, X Xiao, A Anandkumar
Advances in Neural Information Processing Systems, 2022
强制性开放获取政策： A*Star, Singapore, National Research Foundation, Singapore
Thompson sampling with less exploration is fast and optimal
T Jin, X Yang, X Xiao, P Xu
International Conference on Machine Learning, 15239-15261, 2023
强制性开放获取政策： National Research Foundation, Singapore
Maximizing the effect of information adoption: A general framework
T Jin, T Xu, H Zhong, E Chen, Z Wang, Q Liu
Proceedings of the 2018 SIAM International Conference on Data Mining, 693-701, 2018
强制性开放获取政策： 国家自然科学基金委员会
出版信息和资助信息由计算机程序自动确定