Scholar
Ashia C. Wilson
Google Scholar ID: sV61CtsAAAAJ
Assistant Professor at MIT
Citations & Impact
Citations
2,760
H-index
15
i10-index
18
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top conferences such as NeurIPS, ICLR, ALT, FAccT, ICML.
- Co-authored 'Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs' with Gerardo Flores, Alyssa Smith, and Julia Fukuyama, to be presented at NeurIPS 2025.
- Co-authored 'The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches' with Omri Lev, Vishwak Srinivasan, Moshe Shenfeld, Katrina Ligett, and Ayush Sekhari, to be presented at NeurIPS 2025.
- Co-authored 'Homogeneous Algorithms Can Reduce Competition in Personalized Pricing' with Nathan Jo, Kathleen Creel, and Manish Raghavan, to be presented at NeurIPS 2025.
- Co-authored 'Adaptive Backtracking Line Search' with Laurent Lessard and Joao Cavalcanti, to be presented at ICLR 2025.
- Co-authored 'High-accuracy sampling from constrained spaces with the Metropolis-adjusted Preconditioned Langevin Algorithm' with Vishwak Srinivasan and Andre Wibisono, to be presented at ALT 2025.
- Co-authored 'Allocation Multiplicity: Evaluating the Promises of the Rashomon Set' with Shomik Jain, Margaret Wang, and Kathleen Creel, to be presented at FAccT 2025.
- Co-authored 'Algorithmic Pluralism: A Structural Approach To Equal Opportunity' with Shomik Jain, Vinith Suriyakumar, and Kathleen Creel, which won the best paper award at FAccT 2024 and was non-archival at EAAMO 2023.
- Co-authored 'Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized' with Shomik Jain and Kathleen Creel, to be presented at ICML 2024.
Research Experience
- Before joining MIT, held a postdoctoral position in the machine learning and statistics group at Microsoft Research.
Education
- B.A. in Applied Mathematics from Harvard University, minor in Philosophy; Ph.D. in Statistics from UC Berkeley.
Background
- Lister Brothers Career Development Assistant Professor at MIT. Research interests include statistics, machine learning, etc.
Co-authors