Wen, Junfeng

12 publications

JAIR 2025 An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip H. S. Torr

NeurIPS 2025 LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision Anthony Fuller, Yousef Yassin, Junfeng Wen, Tarek Ibrahim, Daniel Kyrollos, James R Green, Evan Shelhamer

ICMLW 2024 An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip Torr

ICML 2022 A Parametric Class of Approximate Gradient Updates for Policy Optimization Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans

NeurIPSW 2022 Find Your Friends: Personalized Federated Learning with the Right Collaborators Yi Sui, Junfeng Wen, Yenson Lau, Brendan Leigh Ross, Jesse C Cresswell

ICML 2021 Characterizing the Gap Between Actor-Critic and Policy Gradient Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans

ICML 2020 Batch Stationary Distribution Estimation Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans

ICML 2020 Domain Aggregation Networks for Multi-Source Domain Adaptation Junfeng Wen, Russell Greiner, Dale Schuurmans

NeurIPS 2016 Convex Two-Layer Modeling with Latent Structure Vignesh Ganapathiraman, Xinhua Zhang, Yaoliang Yu, Junfeng Wen

IJCAI 2015 Correcting Covariate Shift with the Frank-Wolfe Algorithm Junfeng Wen, Russell Greiner, Dale Schuurmans

AAAI 2015 Optimal Estimation of Multivariate ARMA Models Martha White, Junfeng Wen, Michael Bowling, Dale Schuurmans

ICML 2014 Robust Learning Under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification Junfeng Wen, Chun-Nam Yu, Russell Greiner