Junfeng Wen
Junfeng Wen
Assistant Professor, Carleton University
Verified email at - Homepage
Cited by
Cited by
Robust learning under uncertain test distributions: Relating covariate shift to model misspecification
J Wen, CN Yu, R Greiner
International Conference on Machine Learning, 631-639, 2014
Domain aggregation networks for multi-source domain adaptation
J Wen, R Greiner, D Schuurmans
International conference on machine learning, 10214-10224, 2020
Decentralized federated learning through proxy model sharing
S Kalra, J Wen, JC Cresswell, M Volkovs, HR Tizhoosh
Nature communications 14 (1), 2899, 2023
Universal successor representations for transfer reinforcement learning
C Ma, J Wen, Y Bengio
arXiv preprint arXiv:1804.03758, 2018
Batch stationary distribution estimation
J Wen, B Dai, L Li, D Schuurmans
arXiv preprint arXiv:2003.00722, 2020
Universal successor features for transfer reinforcement learning
C Ma, DR Ashley, J Wen, Y Bengio
arXiv preprint arXiv:2001.04025, 2020
Few-shot self reminder to overcome catastrophic forgetting
J Wen, Y Cao, R Huang
arXiv preprint arXiv:1812.00543, 2018
Characterizing the gap between actor-critic and policy gradient
J Wen, S Kumar, R Gummadi, D Schuurmans
International Conference on Machine Learning, 11101-11111, 2021
Correcting covariate shift with the frank-wolfe algorithm
J Wen, R Greiner, D Schuurmans
Twenty-fourth International Joint Conference on Artificial Intelligence, 2015
Proxyfl: decentralized federated learning through proxy model sharing
S Kalra, J Wen, J Cresswell, M Volkovs, H Tizhoosh
Optimal estimation of multivariate ARMA models
M White, J Wen, M Bowling, D Schuurmans
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Find your friends: Personalized federated learning with the right collaborators
Y Sui, J Wen, Y Lau, BL Ross, JC Cresswell
arXiv preprint arXiv:2210.06597, 2022
Convex two-layer modeling with latent structure
V Ganapathiraman, X Zhang, Y Yu, J Wen
Advances in Neural Information Processing Systems 29, 2016
System and method for improving deep neural network performance
Y Cao, R Huang, J Wen
US Patent App. 16/562,067, 2020
Weighted gaussian process for estimating treatment effect
J Wen, N Hassanpour, R Greiner
Proceedings of the 30th Annual Conference on Neural Information Processing …, 2018
Shared model training with privacy protections
S Kalra, JC Cresswell, J Wen, M Volkovs, HR Tizhoosh
US Patent App. 17/987,761, 2023
An Enhanced Combinatorial Contextual Neural Bandit Approach for Client Selection in Federated Learning
X Ma, W Shi, J Wen
European Interdisciplinary Cybersecurity Conference, 171-178, 2024
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models
Y Pan, J Wen, C Xiao, P Torr
arXiv preprint arXiv:2404.15518, 2024
Distributed model training with collaboration weights for private data sets
JC Cresswell, BL Ross, KHY Lau, J Wen, Y Sui
US Patent App. 18/202,459, 2023
A Parametric Class of Approximate Gradient Updates for Policy Optimization
R Gummadi, S Kumar, J Wen, D Schuurmans
International Conference on Machine Learning, 7998-8015, 2022
The system can't perform the operation now. Try again later.
Articles 1–20