Junfeng Wen

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 17

Top Topics

Temporal Difference

Policy Gradient

Natural Actor Critic

Reinforcement Learning

Top Venues

Publications

Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip H. S. Torr
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models. CoRR (2024)
Xiangyu Ma, Wei Shi, Junfeng Wen
An Enhanced Combinatorial Contextual Neural Bandit Approach for Client Selection in Federated Learning. EICC (2024)
Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans
A Parametric Class of Approximate Gradient Updates for Policy Optimization. CoRR (2022)
Yi Sui, Junfeng Wen, Yenson Lau, Brendan Leigh Ross, Jesse C. Cresswell
Find Your Friends: Personalized Federated Learning with the Right Collaborators. CoRR (2022)
Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans
A Parametric Class of Approximate Gradient Updates for Policy Optimization. ICML (2022)
Shivam Kalra, Junfeng Wen, Jesse C. Cresswell, Maksims Volkovs, Hamid R. Tizhoosh
ProxyFL: Decentralized Federated Learning through Proxy Model Sharing. CoRR (2021)
Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans
Characterizing the Gap Between Actor-Critic and Policy Gradient. ICML (2021)
Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans
Characterizing the Gap Between Actor-Critic and Policy Gradient. CoRR (2021)
Junfeng Wen, Russell Greiner, Dale Schuurmans
Domain Aggregation Networks for Multi-Source Domain Adaptation. ICML (2020)
Chen Ma, Dylan R. Ashley, Junfeng Wen, Yoshua Bengio
Universal Successor Features for Transfer Reinforcement Learning. CoRR (2020)
Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans
Batch Stationary Distribution Estimation. ICML (2020)
Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans
Batch Stationary Distribution Estimation. CoRR (2020)
Junfeng Wen, Russell Greiner, Dale Schuurmans
Domain Aggregation Networks for Multi-Source Domain Adaptation. CoRR (2019)
Chen Ma, Junfeng Wen, Yoshua Bengio
Universal Successor Representations for Transfer Reinforcement Learning. ICLR (Workshop) (2018)
Junfeng Wen, Yanshuai Cao, Ruitong Huang
Few-Shot Self Reminder to Overcome Catastrophic Forgetting. CoRR (2018)
Chen Ma, Junfeng Wen, Yoshua Bengio
Universal Successor Representations for Transfer Reinforcement Learning. CoRR (2018)
Vignesh Ganapathiraman, Xinhua Zhang, Yaoliang Yu, Junfeng Wen
Convex Two-Layer Modeling with Latent Structure. NIPS (2016)
Junfeng Wen, Russell Greiner, Dale Schuurmans
Correcting Covariate Shift with the Frank-Wolfe Algorithm. IJCAI (2015)
Martha White, Junfeng Wen, Michael Bowling, Dale Schuurmans
Optimal Estimation of Multivariate ARMA Models. AAAI (2015)
Junfeng Wen, Chun-Nam Yu, Russell Greiner
Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification. ICML (2014)