Sotabase

Career

· PhD candidate in computer science, Berkeley AI Research (BAIR)2022–
· PhD in Computer Science, UC Berkeley

Publications (37)

Robust Optimization for Fairness with Noisy Protected Groups
Neural Information Processing Systems · 2020
124
cited
Neural Kernels Without Tangents
International Conference on Machine Learning · 2020
93
cited
Mechanisms that Incentivize Data Sharing in Federated Learning
arXiv.org · 2022
62
cited
Do Offline Metrics Predict Online Performance in Recommender Systems?
arXiv.org · 2020
47
cited
Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter
International Conference on Artificial Intelligence and Statistics · 2019
41
cited
Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback
USENIX Symposium on Operating Systems Design and Implementation · 2023
36
cited
Multi-Source Causal Inference Using Control Variates
Trans. Mach. Learn. Res. · 2021
24
cited
Partial Identification with Noisy Covariates: A Robust Optimization Approach
CLEaR · 2022
20
cited
The Stereotyping Problem in Collaboratively Filtered Recommender Systems
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization · 2021
17
cited
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models
Neural Information Processing Systems · 2020
13
cited
Is FDI a high-quality investment? evidence from the changes in the Chinese FDI after HSR opening
Applied Economics · 2022
13
cited
No-Regret Learning in Partially-Informed Auctions
International Conference on Machine Learning · 2022
10
cited
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
International Conference on Artificial Intelligence and Statistics · 2021
9
cited
Accelerated Primal-Dual Coordinate Descent for Computational Optimal Transport
arXiv.org · 2019
5
cited
A Variational Inequality Approach to Bayesian Regression Games
IEEE Conference on Decision and Control · 2021
5
cited
Online Learning of Competitive Equilibria in Exchange Economies
arXiv.org · 2021
5
cited
Off-Policy Evaluation with Policy-Dependent Optimization Response
Neural Information Processing Systems · 2022
4
cited
Robust Learning of Optimal Auctions
Neural Information Processing Systems · 2021
4
cited
Learning Competitive Equilibria in Exchange Economies with Bandit Feedback
International Conference on Artificial Intelligence and Statistics · 2021
3
cited
Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty
ACM Conference on Economics and Computation · 2023
3
cited
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Wenshuo Guo | Researcher Profile | Sotabase | Sotabase