Ashia C. Wilson
Ashia C. Wilson
Assistant Professor at MIT
Verified email at - Homepage
Cited by
Cited by
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
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
Streaming variational bayes
T Broderick, N Boyd, A Wibisono, AC Wilson, MI Jordan
Advances in neural information processing systems 26, 2013
A lyapunov analysis of momentum methods in optimization
AC Wilson, B Recht, MI Jordan
Journal of Machine Learning Research, 2021, 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
On symplectic optimization
M Betancourt, MI Jordan, AC Wilson
arXiv preprint arXiv:1802.03653, 2018
Accelerating rescaled gradient descent: fast optimization of smooth functions
AC Wilson, L Mackey, A Wibisono
Advances in Neural Information Processing Systems 33, 2019
Posteriors, conjugacy, and exponential families for completely random measures
T Broderick, AC Wilson, MI Jordan
Lyapunov Arguments in Optimization
AC Wilson
UC Berkeley, 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
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
On accelerated methods in optimization
A Wibisono, AC Wilson
arXiv preprint arXiv:1509.03616, 2015
Algorithms that Approximate Data Removal: New Results and Limitations
VM Suriyakumar, AC Wilson
Advances in Neural Information Processing Systems 36, 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
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
Multilevel Optimization for Inverse Problems
S Weissmann, AC Wilson, J Zech
Conference on Learning Theory, 2022, 2022
Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
S Jain, K Creel, A Wilson
ICML 2024, 2024
Mean-field underdamped Langevin dynamics and its space-time discretization
Q Fu, AC Wilson
ICML 2024, 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
Sufficient conditions for non-asymptotic convergence of Riemannian optimisation methods
V Srinivasan, AC Wilson
OPTML Workshop, NeurIPS 2022, 2022
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