Wenshuo Guo

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Serena WangUC BerkeleyDirección de correo verificada de berkeley.edu
Benjamin RechtProfessor of EECS, University of California, BerkeleyDirección de correo verificada de eecs.berkeley.edu
Andrew CotterGoogle ResearchDirección de correo verificada de google.com
Harikrishna NarasimhanGoogle ResearchDirección de correo verificada de google.com
Kirthevasan KandasamyUniversity of Wisconsin-MadisonDirección de correo verificada de cs.wisc.edu
Yixin WangUniversity of MichiganDirección de correo verificada de umich.edu
Karl KrauthPostdoc, StanfordDirección de correo verificada de stanford.edu
Mihaela CurmeiMetaDirección de correo verificada de meta.com
Vaishaal ShankarAppleDirección de correo verificada de apple.com
Jonathan Ragan-KelleyMIT CSAILDirección de correo verificada de mit.edu
Ludwig SchmidtStanford University and AnthropicDirección de correo verificada de cs.washington.edu
Sara Fridovich-KeilPostdoc, Stanford University EEDirección de correo verificada de stanford.edu
Alex FangStanford UniversityDirección de correo verificada de cs.washington.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Joseph E. GonzalezProfessor of Computer Science, UC BerkeleyDirección de correo verificada de berkeley.edu
Nhat HoProfessor at University of Texas, AustinDirección de correo verificada de utexas.edu
Sarah DeanCornellDirección de correo verificada de cornell.edu
Sai Praneeth KarimireddyUSC | UC Berkeley | EPFLDirección de correo verificada de usc.edu
Peng DingUniversity of California, BerkeleyDirección de correo verificada de berkeley.edu

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Wenshuo Guo

Ph.D. in computer science, UC Berkeley

Dirección de correo verificada de eecs.berkeley.edu - Página principal

machine learning optimization statistical learning theory


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	133	2020
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	100	2020
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	45	2020
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	44	2022
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	40	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
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	17	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	17	2021
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	13	2023
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	13	2021
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	11	2020
Robust learning of optimal auctions W Guo, M Jordan, E Zampetakis Advances in Neural Information Processing Systems 34, 21273-21284, 2021	9	2021
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	8	2021
No-Regret Learning in Partially-Informed Auctions W Guo, MI Jordan, E Vitercik International Conference on Machine Learning (ICML), 2022	6	2022
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	5	2022
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	5	2021
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	4	2023
Minimization of systemic risk for directed network using genetic algorithm W Guo, KY Szeto Applications of Evolutionary Computation: 20th European Conference …, 2017	4	2017
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	3	2022
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	3	2017

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