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Junfeng Wen
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2020 – today
- 2024
- [c10]Xiangyu Ma
, Wei Shi
An Enhanced Combinatorial Contextual Neural Bandit Approach for Client Selection in Federated Learning. EICC 2024: 171-178 - [i10]Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip Torr:
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models. CoRR abs/2404.15518 (2024) - 2022
- [c9]Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans:
A Parametric Class of Approximate Gradient Updates for Policy Optimization. ICML 2022: 7998-8015 - [i9]Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans:
A Parametric Class of Approximate Gradient Updates for Policy Optimization. CoRR abs/2206.08499 (2022) - [i8]Yi Sui, Junfeng Wen, Yenson Lau, Brendan Leigh Ross, Jesse C. Cresswell:
Find Your Friends: Personalized Federated Learning with the Right Collaborators. CoRR abs/2210.06597 (2022) - 2021
- [c8]Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans:
Characterizing the Gap Between Actor-Critic and Policy Gradient. ICML 2021: 11101-11111 - [i7]Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans:
Characterizing the Gap Between Actor-Critic and Policy Gradient. CoRR abs/2106.06932 (2021) - [i6]Shivam Kalra, Junfeng Wen, Jesse C. Cresswell, Maksims Volkovs, Hamid R. Tizhoosh:
ProxyFL: Decentralized Federated Learning through Proxy Model Sharing. CoRR abs/2111.11343 (2021) - 2020
- [c7]Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans:
Batch Stationary Distribution Estimation. ICML 2020: 10203-10213 - [c6]Junfeng Wen, Russell Greiner, Dale Schuurmans:
Domain Aggregation Networks for Multi-Source Domain Adaptation. ICML 2020: 10214-10224 - [i5]Chen Ma, Dylan R. Ashley
Universal Successor Features for Transfer Reinforcement Learning. CoRR abs/2001.04025 (2020) - [i4]Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans:
Batch Stationary Distribution Estimation. CoRR abs/2003.00722 (2020)
2010 – 2019
- 2019
- [i3]Junfeng Wen, Russell Greiner, Dale Schuurmans:
Domain Aggregation Networks for Multi-Source Domain Adaptation. CoRR abs/1909.05352 (2019) - 2018
- [c5]Chen Ma, Junfeng Wen, Yoshua Bengio:
Universal Successor Representations for Transfer Reinforcement Learning. ICLR (Workshop) 2018 - [i2]Chen Ma, Junfeng Wen, Yoshua Bengio:
Universal Successor Representations for Transfer Reinforcement Learning. CoRR abs/1804.03758 (2018) - [i1]Junfeng Wen, Yanshuai Cao, Ruitong Huang:
Few-Shot Self Reminder to Overcome Catastrophic Forgetting. CoRR abs/1812.00543 (2018) - 2016
- [c4]Vignesh Ganapathiraman, Xinhua Zhang, Yaoliang Yu, Junfeng Wen:
Convex Two-Layer Modeling with Latent Structure. NIPS 2016: 1280-1288 - 2015
- [c3]Martha White, Junfeng Wen, Michael Bowling, Dale Schuurmans:
Optimal Estimation of Multivariate ARMA Models. AAAI 2015: 3080-3086 - [c2]Junfeng Wen, Russell Greiner, Dale Schuurmans:
Correcting Covariate Shift with the Frank-Wolfe Algorithm. IJCAI 2015: 1010-1016 - 2014
- [c1]Junfeng Wen, Chun-Nam Yu, Russell Greiner:
Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification. ICML 2014: 631-639
Coauthor Index
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