Wenshuo Guo
Wenshuo Guo
Electrical Engineering and Computer Sciences, University of California, Berkeley
Verified email at eecs.berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Neural kernels without tangents
V Shankar, A Fang, W Guo, S Fridovich-Keil, J Ragan-Kelley, L Schmidt, ...
International Conference on Machine Learning, 8614-8623, 2020
432020
Robust Optimization for Fairness with Noisy Protected Groups
S Wang*, W Guo*, H Narasimhan, A Cotter, M Gupta, M Jordan
Advances in Neural Information Processing Systems 33, 2020
262020
Fast algorithms for computational optimal transport and wasserstein barycenter
W Guo, N Ho, M Jordan
International Conference on Artificial Intelligence and Statistics, 2088-2097, 2019
13*2019
Data for transcriptome and proteome analysis of Eucalyptus infected with Calonectria pseudoreteaudii
Q Chen, W Guo, L Feng, X Ye, W Xie, X Huang, J Liu
Data in brief 3, 24-28, 2015
92015
Do Offline Metrics Predict Online Performance in Recommender Systems?
K Krauth, S Dean, A Zhao, W Guo, M Curmei, B Recht, MI Jordan
arXiv preprint arXiv:2011.07931, 2020
52020
Multi-Source Causal Inference Using Control Variates
W Guo, S Wang, P Ding, Y Wang, MI Jordan
arXiv preprint arXiv:2103.16689, 2021
42021
Approximate heavily-constrained learning with Lagrange multiplier models
H Narasimhan, A Cotter, Y Zhou, S Wang, W Guo
Advances in Neural Information Processing Systems 33, 2020
22020
Optimization of financial network stability by genetic algorithm
J Wang, W Guo, KY Szeto
Proceedings of the International Conference on Web Intelligence, 517-524, 2017
22017
Minimization of systemic risk for directed network using genetic algorithm
W Guo, KY Szeto
European Conference on the Applications of Evolutionary Computation, 3-16, 2017
22017
Spin Model of Two Random Walkers in Complex Networks
W Guo, J Wang, KY Szeto
International Conference on Complex Networks and their Applications, 555-566, 2018
12018
The Stereotyping Problem in Collaboratively Filtered Recommender Systems
W Guo, K Krauth, M Jordan, N Garg
Equity and Access in Algorithms, Mechanisms, and Optimization, 1-10, 2021
2021
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
W Guo, KK Agrawal, A Grover, V Muthukumar, A Pananjady
arXiv preprint arXiv:2106.14866, 2021
2021
Test-time Collective Prediction
C Mendler-DŁnner, W Guo, S Bates, MI Jordan
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
2021
Online Learning of Competitive Equilibria in Exchange Economies
W Guo, K Kandasamy, JE Gonzalez, MI Jordan, I Stoica
arXiv preprint arXiv:2106.06616, 2021
2021
Robust Learning of Optimal Auctions
W Guo, M Jordan, E Zampetakis
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
2021
A Variational Inequality Approach to Bayesian Regression Games
W Guo, MI Jordan, T Lin
arXiv preprint arXiv:2103.13509, 2021
2021
Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty
W Guo, M Curmei, S Wang, B Recht, MI Jordan
Workshop on Theoretical Foundations of Reinforcement Learning (ICML 2020), 2020
2020
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Articles 1–17