Wilson, Ashia C.

13 publications

ICLR 2025 Adaptive Backtracking Line Search Joao V. Cavalcanti, Laurent Lessard, Ashia C. Wilson

NeurIPS 2025 Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs Gerardo Flores, Alyssa Hasegawa Smith, Julia Fukuyama, Ashia C. Wilson

NeurIPS 2025 Homogeneous Algorithms Can Reduce Competition in Personalized Pricing Nathanael Jo, Ashia C. Wilson, Kathleen Creel, Manish Raghavan

NeurIPS 2025 The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches Omri Lev, Vishwak Srinivasan, Moshe Shenfeld, Katrina Ligett, Ayush Sekhari, Ashia C. Wilson

ICLRW 2025 The Surprising Amount of Arbitrariness in Shapley-Value Data Valuation Hannah Diehl, Ashia C. Wilson

ICLRW 2025 Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models Vinith Menon Suriyakumar, Rohan Alur, Ayush Sekhari, Manish Raghavan, Ashia C. Wilson

NeurIPSW 2024 Homogeneous Algorithms Can Reduce Competition in Personalized Pricing Nathanael Jo, Kathleen Creel, Ashia C. Wilson, Manish Raghavan

NeurIPS 2022 Algorithms That Approximate Data Removal: New Results and Limitations Vinith Suriyakumar, Ashia C Wilson

JMLR 2021 A Lyapunov Analysis of Accelerated Methods in Optimization Ashia C. Wilson, Ben Recht, Michael I. Jordan

NeurIPS 2019 Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions Ashia C Wilson, Lester Mackey, Andre Wibisono

ICML 2017 Breaking Locality Accelerates Block Gauss-Seidel Stephen Tu, Shivaram Venkataraman, Ashia C. Wilson, Alex Gittens, Michael I. Jordan, Benjamin Recht

NeurIPS 2017 The Marginal Value of Adaptive Gradient Methods in Machine Learning Ashia C Wilson, Rebecca Roelofs, Mitchell Stern, Nati Srebro, Benjamin Recht

NeurIPS 2013 Streaming Variational Bayes Tamara Broderick, Nicholas Boyd, Andre Wibisono, Ashia C Wilson, Michael I Jordan