| 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 | 101 | 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 | 86 | 2020 |
| 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 | 32* | 2019 |
| 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 | 29 | 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 | 14 | 2022 |
| 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 | 10* | 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 | 9 | 2022 |
| 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 | 9 | 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 | 9 | 2020 |
| 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 | 7 | 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 | 7 | 2021 |
| No-Regret Learning in Partially-Informed Auctions W Guo, MI Jordan, E Vitercik International Conference on Machine Learning (ICML), 2022 | 6 | 2022 |
| Robust learning of optimal auctions W Guo, M Jordan, E Zampetakis Advances in Neural Information Processing Systems 34, 21273-21284, 2021 | 6 | 2021 |
| 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 | 4 | 2021 |
| 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 |
| 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 | 2 | 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 | 2 | 2022 |
| Minimization of systemic risk for directed network using genetic algorithm W Guo, KY Szeto Applications of Evolutionary Computation: 20th European Conference …, 2017 | 2 | 2017 |
| Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws K Bhatia, W Guo, J Steinhardt International Conference on Artificial Intelligence and Statistics, 11149-11171, 2023 | 1 | 2023 |
| 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 | 1 | 2018 |
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
