Yifan Wu
Yifan Wu
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Behavior regularized offline reinforcement learning
Y Wu, G Tucker, O Nachum
arXiv preprint arXiv:1911.11361, 2019
1442019
Conservative bandits
Y Wu, R Shariff, T Lattimore, C Szepesvári
International Conference on Machine Learning, 1254-1262, 2016
682016
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Y Wu, E Winston, D Kaushik, Z Lipton
International Conference on Machine Learning, 2019
652019
Online learning with Gaussian payoffs and side observations
Y Wu, A György, C Szepesvári
Advances in Neural Information Processing Systems, 1360-1368, 2015
382015
A unified view of label shift estimation
S Garg, Y Wu, S Balakrishnan, ZC Lipton
Advances in Neural Information Processing Systems, 2020
322020
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
242014
The Laplacian in RL: Learning Representations with Efficient Approximations
Y Wu, G Tucker, O Nachum
International Conference on Learning Representations, 2019
202019
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
112019
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
112015
Instabilities of Offline RL with Pre-Trained Neural Representation
R Wang, Y Wu, R Salakhutdinov, SM Kakade
International Conference on Machine Learning, 2021
82021
On the Optimality of Batch Policy Optimization Algorithms
C Xiao, Y Wu, T Lattimore, B Dai, J Mei, L Li, C Szepesvari, ...
International Conference on Machine Learning, 2021
72021
Importance reweighting using adversarial-collaborative training
Y Wu, T Ren, L Mu
NIPS Workshop, 2016
62016
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
52019
Mixture Proportion Estimation and PU Learning: A Modern Approach
S Garg, Y Wu, AJ Smola, S Balakrishnan, Z Lipton
Advances in Neural Information Processing Systems 34, 2021
12021
Learning Local Advantage Functions for Generalizable Graph Optimizations
Y Wu, Y Zhou, PM Phothilimthana, H Liu, S Roy, A Mirhoseini
NeurIPS 2020 Machine Learning for Systems Workshop., 2020
2020
Game Design for Eliciting Distinguishable Behavior
F Yang, L Leqi, Y Wu, ZC Lipton, P Ravikumar, WW Cohen, T Mitchell
Advances in Neural Information Processing Systems, 2019
2019
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Articles 1–16