| The marginal value of adaptive gradient methods in machine learning AC Wilson, R Roelofs, M Stern, N Srebro, B Recht Advances in Neural Information Processing Systems 30, 2017 | 1155 | 2017 |
| A variational perspective on accelerated methods in optimization A Wibisono, AC Wilson, MI Jordan Proceedings of the National Academy of Sciences 113 (47), E7351-E7358, 2016 | 489 | 2016 |
| Streaming variational bayes T Broderick, N Boyd, A Wibisono, AC Wilson, MI Jordan Advances in neural information processing systems 26, 2013 | 371 | 2013 |
| A lyapunov analysis of momentum methods in optimization AC Wilson, B Recht, MI Jordan arXiv preprint arXiv:1611.02635, 2016 | 223 | 2016 |
| A Lyapunov Analysis of Accelerated Methods in Optimization AC Wilson, B Recht, MI Jordan Journal of Machine Learning Research 22 (113), 1-34, 2021 | 103 | 2021 |
| On symplectic optimization M Betancourt, MI Jordan, AC Wilson arXiv preprint arXiv:1802.03653, 2018 | 80 | 2018 |
| The Disparate Equilibria of Algorithmic Decision Making when Individuals Invest Rationally LT Liu, AC Wilson, N Haghtalab, AT Kalai, C Borgs, J Chayes FAT* 2020: Proc. 3rd Annual ACM FAT* Conference, 2020, 2019 | 69 | 2019 |
| Accelerating rescaled gradient descent: fast optimization of smooth functions AC Wilson, L Mackey, A Wibisono Advances in Neural Information Processing Systems 33, 2019 | 46 | 2019 |
| Posteriors, conjugacy, and exponential families for completely random measures T Broderick, AC Wilson, MI Jordan | 46 | 2018 |
| Lyapunov Arguments in Optimization AC Wilson UC Berkeley, 2018 | 42 | 2018 |
| Breaking locality accelerates block gauss-seidel S Tu, S Venkataraman, AC Wilson, A Gittens, MI Jordan, B Recht Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 35 | 2017 |
| On accelerated methods in optimization A Wibisono, AC Wilson arXiv preprint arXiv:1509.03616, 2015 | 29 | 2015 |
| Approximate Cross-validation: Guarantees for Model Assessment and Selection AC Wilson, M Kasy, L Mackey Proceedings of the 23rd International Conference on Artificial Intelligence …, 2020 | 28 | 2020 |
| Algorithms that Approximate Data Removal: New Results and Limitations VM Suriyakumar, AC Wilson Advances in Neural Information Processing Systems 36, 2022 | 6 | 2022 |
| Accelerated Stochastic Optimization Methods under Quasar-convexity Q Fu, D Xu, AC Wilson Proceedings of the 40th International Conference on Machine Learning-Volume 76, 2023 | 2 | 2023 |
| Multilevel Optimization for Inverse Problems S Weissmann, AC Wilson, J Zech Conference on Learning Theory, 2022, 2022 | 2 | 2022 |
| What is a Fair Diffusion Model? Designing Generative Text-To-Image Models to Incorporate Various Worldviews Z De Simone, A Boggust, A Satyanarayan, AC Wilson arXiv preprint arXiv:2309.09944, 2023 | 1 | 2023 |
| Sufficient conditions for non-asymptotic convergence of Riemannian optimisation methods V Srinivasan, AC Wilson OPTML Workshop, NeurIPS 2022, 2022 | 1 | 2022 |
| Algorithmic Pluralism S Jain, VM Suriyakumar, KA Creel, AC Wilson | | 2023 |
| Organ Retrieval and Collection of Health Information for Donation (ORCHID) H Adam, V Suriyakumar, T Pollard, B Moody, J Erickson, G Segal, ... | | |
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
