| 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 | 1277 | 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 | 538 | 2016 |
| Streaming variational bayes T Broderick, N Boyd, A Wibisono, AC Wilson, MI Jordan Advances in neural information processing systems 26, 2013 | 390 | 2013 |
| A lyapunov analysis of momentum methods in optimization AC Wilson, B Recht, MI Jordan Journal of Machine Learning Research, 2021, 2016 | 369* | 2016 |
| 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 | 88 | 2019 |
| On symplectic optimization M Betancourt, MI Jordan, AC Wilson arXiv preprint arXiv:1802.03653, 2018 | 84 | 2018 |
| Accelerating rescaled gradient descent: fast optimization of smooth functions AC Wilson, L Mackey, A Wibisono Advances in Neural Information Processing Systems 33, 2019 | 52 | 2019 |
| Posteriors, conjugacy, and exponential families for completely random measures T Broderick, AC Wilson, MI Jordan | 47 | 2018 |
| Lyapunov Arguments in Optimization AC Wilson UC Berkeley, 2018 | 44 | 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 | 37 | 2017 |
| 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 | 35 | 2020 |
| On accelerated methods in optimization A Wibisono, AC Wilson arXiv preprint arXiv:1509.03616, 2015 | 33 | 2015 |
| Algorithms that Approximate Data Removal: New Results and Limitations VM Suriyakumar, AC Wilson Advances in Neural Information Processing Systems 36, 2022 | 13 | 2022 |
| Algorithmic pluralism: A structural approach towards equal opportunity S Jain, V Suriyakumar, A Wilson FAccT 2024: Proc. 7rd Annual ACM FAccT Conference, 2024, 2023 | 5* | 2023 |
| 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 | 4 | 2023 |
| Multilevel Optimization for Inverse Problems S Weissmann, AC Wilson, J Zech Conference on Learning Theory, 2022, 2022 | 4 | 2022 |
| Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized S Jain, K Creel, A Wilson ICML 2024, 2024 | 3 | 2024 |
| Mean-field underdamped Langevin dynamics and its space-time discretization Q Fu, AC Wilson ICML 2024, 2023 | 3 | 2023 |
| Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin Algorithm V Srinivasan, A Wibisono, AC Wilson Conference on Learning Theory, 2024, 2023 | 3 | 2023 |
| Sufficient conditions for non-asymptotic convergence of Riemannian optimisation methods V Srinivasan, AC Wilson OPTML Workshop, NeurIPS 2022, 2022 | 2 | 2022 |
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
