Yifan Wu
Yifan Wu
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Conservative bandits
Y Wu, R Shariff, T Lattimore, C Szepesvári
International Conference on Machine Learning, 1254-1262, 2016
402016
Online learning with Gaussian payoffs and side observations
Y Wu, A György, C Szepesvári
Advances in Neural Information Processing Systems, 1360-1368, 2015
322015
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Y Wu, E Winston, D Kaushik, Z Lipton
International Conference on Machine Learning, 2019
272019
Behavior regularized offline reinforcement learning
Y Wu, G Tucker, O Nachum
arXiv preprint arXiv:1911.11361, 2019
222019
Dynamic monitoring of optimal locations in road network databases
B Yao, X Xiao, F Li, Y Wu
The VLDB journal 23 (5), 697-720, 2014
202014
The Laplacian in RL: Learning Representations with Efficient Approximations
Y Wu, G Tucker, O Nachum
International Conference on Learning Representations, 2019
102019
On identifying good options under combinatorially structured feedback in finite noisy environments
Y Wu, A Gyorgy, C Szepesvari
International Conference on Machine Learning, 1283-1291, 2015
102015
A Unified View of Label Shift Estimation
S Garg, Y Wu, S Balakrishnan, ZC Lipton
arXiv preprint arXiv:2003.07554, 2020
62020
Learning to Combat Compounding-Error in Model-Based Reinforcement Learning
C Xiao, Y Wu, C Ma, D Schuurmans, M Müller
arXiv preprint arXiv:1912.11206, 2019
42019
Towards understanding the generalization bias of two layer convolutional linear classifiers with gradient descent
Y Wu, B Poczos, A Singh
International Conference on Artificial Intelligence and Statistics, 2019
42019
Importance reweighting using adversarial-collaborative training
Y Wu, T Ren, L Mu
NIPS 2016 Workshop, 2016
42016
Game Design for Eliciting Distinguishable Behavior
F Yang, L Leqi, Y Wu, Z Lipton, PK Ravikumar, TM Mitchell, WW Cohen
Advances in Neural Information Processing Systems, 4684-4693, 2019
2019
The Laplacian in Reinforcement Learning: Representation Learning with Efficient Approximations
Y Wu, G Tucker, O Nachum
2019
Stochastic Learning of Additive Second-Order Penalties with Applications to Fairness
H Jiang, Y Wu, O Nachum
2018
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Articles 1–14