Ashia C. Wilson

25 papers A* 5A 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Influence Estimation in Statistical Models Using the Fisher Information Matrix.
Trans. Mach. Learn. Res.
Omri Lev, Ashia C. Wilson
2026 J jnl
Near-Optimal Private Linear Regression via Iterative Hessian Mixing.
CoRR
Omri Lev, Moshe Shenfeld, Vishwak Srinivasan, Katrina Ligett, Ashia C. Wilson
2025 J jnl
A Consequentialist Critique of Binary Classification Evaluation Practices.
CoRR
Gerardo Flores, Abigail Schiff, Alyssa H. Smith, Julia A Fukuyama, Ashia C. Wilson
2025 J jnl
Adaptive Kernel Selection for Stein Variational Gradient Descent.
CoRR
Moritz Melcher, Simon Weissmann, Ashia C. Wilson, Jakob Zech
2025 A* conf
Adaptive backtracking line search.
ICLR
Joao V. Cavalcanti, Laurent Lessard, Ashia C. Wilson
2025 J jnl
Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs.
CoRR
Gerardo Flores, Alyssa H. Smith, Julia A Fukuyama, Ashia C. Wilson
2025 J jnl
Semivalue-based data valuation is arbitrary and gameable.
CoRR
Hannah Diehl, Ashia C. Wilson
2025 J jnl
The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches.
CoRR
Omri Lev, Vishwak Srinivasan, Moshe Shenfeld, Katrina Ligett, Ayush Sekhari, Ashia C. Wilson
2024 J jnl
Adaptive Backtracking For Faster Optimization.
CoRR
Joao V. Cavalcanti, Laurent Lessard, Ashia C. Wilson
2024 A* conf
Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm.
COLT
Vishwak Srinivasan, Andre Wibisono, Ashia C. Wilson
2024 J jnl
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models.
CoRR
Vinith M. Suriyakumar, Rohan Alur, Ayush Sekhari, Manish Raghavan, Ashia C. Wilson
2023 J jnl
Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin Algorithm.
CoRR
Vishwak Srinivasan, Andre Wibisono, Ashia C. Wilson
2022 A* conf
Algorithms that Approximate Data Removal: New Results and Limitations.
NeurIPS
Vinith M. Suriyakumar, Ashia C. Wilson
2022 J jnl
Algorithms that Approximate Data Removal: New Results and Limitations.
CoRR
Vinith M. Suriyakumar, Ashia C. Wilson
2021 J jnl
A Lyapunov Analysis of Accelerated Methods in Optimization.
J. Mach. Learn. Res.
Ashia C. Wilson, Ben Recht, Michael I. Jordan
2020 A conf
Approximate Cross-validation: Guarantees for Model Assessment and Selection.
AISTATS
Ashia C. Wilson, Maximilian Kasy, Lester Mackey
2020 J jnl
Approximate Cross-validation: Guarantees for Model Assessment and Selection.
CoRR
Ashia C. Wilson, Maximilian Kasy, Lester Mackey
2019 A* conf
Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions.
NeurIPS
Ashia C. Wilson, Lester Mackey, Andre Wibisono
2017 A* conf
Breaking Locality Accelerates Block Gauss-Seidel.
ICML
Stephen Tu, Shivaram Venkataraman, Ashia C. Wilson, Alex Gittens, Michael I. Jordan, Benjamin Recht
2017 — conf
The Marginal Value of Adaptive Gradient Methods in Machine Learning.
NIPS
Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nati Srebro, Benjamin Recht
2017 J jnl
The Marginal Value of Adaptive Gradient Methods in Machine Learning.
CoRR
Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nathan Srebro, Benjamin Recht
2016 J jnl
A Lyapunov Analysis of Momentum Methods in Optimization.
CoRR
Ashia C. Wilson, Benjamin Recht, Michael I. Jordan
2016 J jnl
A Variational Perspective on Accelerated Methods in Optimization.
CoRR
Andre Wibisono, Ashia C. Wilson, Michael I. Jordan
2013 — conf
Streaming Variational Bayes.
NIPS
Tamara Broderick, Nicholas Boyd, Andre Wibisono, Ashia C. Wilson, Michael I. Jordan
2013 J jnl
Streaming Variational Bayes.
CoRR
Tamara Broderick, Nicholas Boyd, Andre Wibisono, Ashia C. Wilson, Michael I. Jordan