José H. Blanchet

19 papers A* 9A 2Misc 1Journal 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Delay-Adaptive Learning in Generalized Linear Contextual Bandits.
Math. Oper. Res.
José H. Blanchet, Renyuan Xu, Zhengyuan Zhou
2024 A* conf
Optimal Sample Complexity for Average Reward Markov Decision Processes.
ICLR
Shengbo Wang, José H. Blanchet, Peter W. Glynn
2024 A* conf
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty.
ICML
Kaizhao Liu, José H. Blanchet, Lexing Ying, Yiping Lu
2024 A* conf
Single-Trajectory Distributionally Robust Reinforcement Learning.
ICML
Zhipeng Liang, Xiaoteng Ma, José H. Blanchet, Jun Yang, Jiheng Zhang, Zhengyuan Zhou
2024 A* conf
Stability Evaluation through Distributional Perturbation Analysis.
ICML
José H. Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu
2023 A conf
A Finite Sample Complexity Bound for Distributionally Robust Q-learning.
AISTATS
Shengbo Wang, Nian Si, José H. Blanchet, Zhengyuan Zhou
2023 A* conf
Minimax Optimal Kernel Operator Learning via Multilevel Training.
ICLR
Jikai Jin, Yiping Lu, José H. Blanchet, Lexing Ying
2023 J jnl
Neural Network Accelerated Process Design of Polycrystalline Microstructures.
CoRR
Junrong Lin, Mahmudul Hasan, Pinar Acar, José H. Blanchet, Vahid Tarokh
2022 A conf
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality.
AISTATS
Xuhui Zhang, José H. Blanchet, Soumyadip Ghosh, Mark S. Squillante
2022 J jnl
No Weighted-Regret Learning in Adversarial Bandits with Delays.
J. Mach. Learn. Res.
Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, José H. Blanchet
2022 A* conf
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent.
NeurIPS
Yiping Lu, José H. Blanchet, Lexing Ying
2021 A* conf
Modified Frank Wolfe in Probability Space.
NeurIPS
Carson Kent, Jiajin Li, José H. Blanchet, Peter W. Glynn
2020 A* conf
Distributionally Robust Local Non-parametric Conditional Estimation.
NeurIPS
Viet Anh Nguyen, Fan Zhang, José H. Blanchet, Erick Delage, Yinyu Ye
2020 J jnl
Distributionally Robust Local Non-parametric Conditional Estimation.
CoRR
Viet Anh Nguyen, Fan Zhang, José H. Blanchet, Erick Delage, Yinyu Ye
2020 A* conf
Distributionally Robust Parametric Maximum Likelihood Estimation.
NeurIPS
Viet Anh Nguyen, Xuhui Zhang, José H. Blanchet, Angelos Georghiou
2020 J jnl
Distributionally Robust Parametric Maximum Likelihood Estimation.
CoRR
Viet Anh Nguyen, Xuhui Zhang, José H. Blanchet, Angelos Georghiou
2019 Misc conf
Data-Driven Optimal Transport Cost Selection For Distributionally Robust Optimization.
WSC
José H. Blanchet, Yang Kang, Karthyek R. A. Murthy, Fan Zhang
2009 — ch.
Rare Event Simulation and Counting Problems.
Rare Event Simulation using Monte Carlo Methods
José H. Blanchet, Daniel Rudoy
2009 — ch.
Rare Event Simulation for Queues.
Rare Event Simulation using Monte Carlo Methods
José H. Blanchet, Michel Mandjes