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Wenshuo Guo
Wenshuo Guo
Ph.D. in computer science, UC Berkeley
Verified email at eecs.berkeley.edu - Homepage
Title
Cited by
Cited by
Year
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
1192020
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
982020
Do offline metrics predict online performance in recommender systems?
K Krauth, S Dean, A Zhao, W Guo, M Curmei, B Recht, MI Jordan
NeurIPS 2020 Workshop on Consequential Decision Making in Dynamic Environments, 2020
412020
Mechanisms that Incentivize Data Sharing in Federated Learning
SP Karimireddy, W Guo, MI Jordan
NeurIPS 2022 Workshop on Federated Learning: Recent Advances and New Challenges, 2022
362022
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
35*2019
Multi-Source Causal Inference Using Control Variates under Outcome Selection Bias
W Guo, SL Wang, P Ding, Y Wang, M Jordan
Transactions on Machine Learning Research, 2022
18*2022
The stereotyping problem in collaboratively filtered recommender systems
W Guo, K Krauth, M Jordan, N Garg
Proceedings of the 1st ACM Conference on Equity and Access in Algorithms …, 2021
172021
Partial identification with noisy covariates: A robust optimization approach
W Guo, M Yin, Y Wang, MI Jordan
Conference on Causal Learning and Reasoning (CLeaR), 2022
162022
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
W Guo, KK Agrawal, A Grover, V Muthukumar, A Pananjady
Proceedings of The 25nd International Conference on Artificial Intelligence …, 2021
122021
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, 8693-8703, 2020
92020
Robust learning of optimal auctions
W Guo, M Jordan, E Zampetakis
Advances in Neural Information Processing Systems 34, 21273-21284, 2021
72021
Online Learning of Competitive Equilibria in Exchange Economies
W Guo, K Kandasamy, JE Gonzalez, MI Jordan, I Stoica
Proceedings of The 25nd International Conference on Artificial Intelligence …, 2021
72021
Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback
R Bhardwaj, K Kandasamy, A Biswal, W Guo, B Hindman, J Gonzalez, ...
17th USENIX Symposium on Operating Systems Design and Implementation (OSDI 23), 2023
62023
No-Regret Learning in Partially-Informed Auctions
W Guo, MI Jordan, E Vitercik
International Conference on Machine Learning (ICML), 2022
62022
Off-Policy Evaluation with Policy-Dependent Optimization Response
W Guo, MI Jordan, A Zhou
Proceedings of the 36th Conference on Neural Information Processing Systems 2022, 2022
52022
A Variational Inequality Approach to Bayesian Regression Games
W Guo, MI Jordan, T Lin
Proceedings of The 60th Conference on Decision and Control (CDC), 2021
52021
Minimization of systemic risk for directed network using genetic algorithm
W Guo, KY Szeto
Applications of Evolutionary Computation: 20th European Conference …, 2017
42017
Learning competitive equilibria in exchange economies with bandit feedback
W Guo, K Kandasamy, J Gonzalez, M Jordan, I Stoica
International Conference on Artificial Intelligence and Statistics, 6200-6224, 2022
32022
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
32017
Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty
W Guo, N Haghtalab, K Kandasamy, E Vitercik
The Twenty-Fourth ACM Conference on Economics and Computation (EC 2023), 2023
22023
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Articles 1–20