Junfeng Wen

According to our database, Junfeng Wen authored at least 15 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models.

Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip H. S. Torr

CoRR, 2024

An Enhanced Combinatorial Contextual Neural Bandit Approach for Client Selection in Federated Learning.

Xiangyu Ma, Wei Shi, Junfeng Wen

Proceedings of the European Interdisciplinary Cybersecurity Conference, 2024

2022

Find Your Friends: Personalized Federated Learning with the Right Collaborators.

Yi Sui, Junfeng Wen, Yenson Lau, Brendan Leigh Ross, Jesse C. Cresswell

CoRR, 2022

A Parametric Class of Approximate Gradient Updates for Policy Optimization.

Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans

Proceedings of the International Conference on Machine Learning, 2022

2021

ProxyFL: Decentralized Federated Learning through Proxy Model Sharing.

Shivam Kalra, Junfeng Wen, Jesse C. Cresswell, Maksims Volkovs, Hamid R. Tizhoosh

CoRR, 2021

Characterizing the Gap Between Actor-Critic and Policy Gradient.

Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Universal Successor Features for Transfer Reinforcement Learning.

Chen Ma, Dylan R. Ashley, Junfeng Wen, Yoshua Bengio

CoRR, 2020

Domain Aggregation Networks for Multi-Source Domain Adaptation.

Junfeng Wen, Russell Greiner, Dale Schuurmans

Proceedings of the 37th International Conference on Machine Learning, 2020

Batch Stationary Distribution Estimation.

Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Few-Shot Self Reminder to Overcome Catastrophic Forgetting.

Junfeng Wen, Yanshuai Cao, Ruitong Huang

CoRR, 2018

Universal Successor Representations for Transfer Reinforcement Learning.

Chen Ma, Junfeng Wen, Yoshua Bengio

Proceedings of the 6th International Conference on Learning Representations, 2018

2016

Convex Two-Layer Modeling with Latent Structure.

Vignesh Ganapathiraman, Xinhua Zhang, Yaoliang Yu, Junfeng Wen

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Correcting Covariate Shift with the Frank-Wolfe Algorithm.

Junfeng Wen, Russell Greiner, Dale Schuurmans

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Optimal Estimation of Multivariate ARMA Models.

Martha White, Junfeng Wen, Michael Bowling, Dale Schuurmans

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification.

Junfeng Wen, Chun-Nam Yu, Russell Greiner

Proceedings of the 31th International Conference on Machine Learning, 2014