Ashia C. Wilson
Ashia C. Wilson
I am a Lister Brothers Career Development Assistant Professor at MIT. My research focuses on designing scalable, reliable and socially responsible AI systems using tools from dynamical systems theory, statistics, and optimization. Here is a list of some information about me (CV, Publications, Contact). Short Bio: I obtained my B.A. from Harvard with a concentration in applied mathematics and a minor in philosophy, and my Ph.D. from UC Berkeley in statistics. Before joining MIT, I held a postdoctoral position in the machine learning and statistics group at Microsoft Research.
Affiliations
Teaching
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6.401 - Introduction to Data Science and Statistics (Spring 2021)
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6.036 - Introduction to Machine Learning (Spring 2022, Spring 2023)
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6.3950 - AI, Decision Making and Society (Fall 2022, Fall 2023)
Recent Publications & Working Papers
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Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin Algorithm
Joint with Vishwak Srinivasan and Andre Wibisono. 2023.
[arXiv]
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Mean-field underdamped Langevin dynamics and its spacetime discretization
Joint with Qiang Fu. 2023.
[arXiv]
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Algorithmic Pluralism: A Structural Approach To Equal Opportunity
Joint with Shomik Jain, Vinith Suriyakumar, and Kathleen Creel
ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO, non-archival). 2023.
ACM Conference on Fairness, Accountability and Transparency (FAccT). 2024.
[arXiv]
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Algorithms that Approximate Data Removal: New Results and Limitations
Joint with Vinith Suriyakumar
Advances in Neural Information Processing Systems (NeurIPS). 2022.
[arXiv, code]
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Accelerated Stochastic Optimization Methods under Quasar-convexity
Joint with Qiang Fu and Dongchu Xu
International Conference on Machine Learning (ICML). 2023.
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Sufficient conditions for non-asymptotic convergence of Riemannian optimisation methods
Joint with Vishwak Srinivasan
OPTML Workshop, Neurips (Spotlight). 2022.
[arXiv]