Junfeng Wen
Junfeng Wen
Dirección de correo verificada de ualberta.ca - Página principal
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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
712014
Universal successor representations for transfer reinforcement learning
C Ma, J Wen, Y Bengio
arXiv preprint arXiv:1804.03758, 2018
192018
Domain aggregation networks for multi-source domain adaptation
J Wen, R Greiner, D Schuurmans
International Conference on Machine Learning, 10214-10224, 2020
172020
Optimal estimation of multivariate ARMA models
M White, J Wen, M Bowling, D Schuurmans
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
112015
Few-shot self reminder to overcome catastrophic forgetting
J Wen, Y Cao, R Huang
arXiv preprint arXiv:1812.00543, 2018
102018
Correcting covariate shift with the frank-wolfe algorithm
J Wen, R Greiner, D Schuurmans
Twenty-fourth International Joint Conference on Artificial Intelligence, 2015
102015
Batch stationary distribution estimation
J Wen, B Dai, L Li, D Schuurmans
arXiv preprint arXiv:2003.00722, 2020
72020
Universal successor features for transfer reinforcement learning
C Ma, DR Ashley, J Wen, Y Bengio
arXiv preprint arXiv:2001.04025, 2020
62020
Convex Two-Layer Modeling with Latent Structure.
V Ganapathiraman, X Zhang, Y Yu, J Wen
NIPS, 1280-1288, 2016
22016
Weighted Gaussian Process for Estimating Treatment Effect
J Wen, N Hassanpour, R Greiner
NIPS Workshop on Inference and Learning of Hypothetical and Counterfactual …, 2016
12016
Characterizing the Gap Between Actor-Critic and Policy Gradient
J Wen, S Kumar, R Gummadi, D Schuurmans
arXiv preprint arXiv:2106.06932, 2021
2021
Using Prior Data to Facilitate Learning and Inference in New Environments
J Wen
2021
Robust Learning under Uncertain Test Distributions
J Wen
University of Alberta (Canada), 2013
2013
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Artículos 1–13