Streaming Variational Bayes. - Tamara Broderick; Nicholas Boyd; Andre Wibisono; Ashia C. Wilson; Michael I. Jordan (NIPS, 2013)

A Variational Perspective on Accelerated Methods in Optimization. - Andre Wibisono; Ashia C. Wilson; Michael I. Jordan (CoRR, 2016)

A Lyapunov Analysis of Momentum Methods in Optimization. - Ashia C. Wilson; Benjamin Recht; Michael I. Jordan (CoRR, 2016)

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

The Marginal Value of Adaptive Gradient Methods in Machine Learning. - Ashia C. Wilson; Rebecca Roelofs; Mitchell Stern; Nati Srebro; Benjamin Recht (NIPS, 2017)

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

Approximate Cross-validation: Guarantees for Model Assessment and Selection. - Ashia C. Wilson; Maximilian Kasy; Lester Mackey (AISTATS, 2020)

The disparate equilibria of algorithmic decision making when individuals invest rationally. - Lydia T. Liu; Ashia Wilson; Nika Haghtalab; Adam Tauman Kalai; Christian Borgs; Jennifer T. Chayes (FAT*, 2020)

A Lyapunov Analysis of Accelerated Methods in Optimization. - Ashia C. Wilson; Ben Recht; Michael I. Jordan (J. Mach. Learn. Res., 2021)

Multilevel Optimization for Inverse Problems. - Simon Weissmann; Ashia Wilson; Jakob Zech (COLT, 2022)

Algorithms that Approximate Data Removal: New Results and Limitations. - Vinith M. Suriyakumar; Ashia C. Wilson (NeurIPS, 2022)

Accelerated Stochastic Optimization Methods under Quasar-convexity. - Qiang Fu 023; Dongchu Xu; Ashia Camage Wilson (ICML, 2023)

Algorithmic Pluralism: A Structural Approach Towards Equal Opportunity. - Shomik Jain; Vinith M. Suriyakumar; Ashia Wilson (CoRR, 2023)

What is a Fair Diffusion Model? Designing Generative Text-To-Image Models to Incorporate Various Worldviews. - Zoe De Simone; Angie W. Boggust; Arvind Satyanarayan; Ashia Wilson (CoRR, 2023)

As an AI Language Model, "Yes I Would Recommend Calling the Police": Norm Inconsistency in LLM Decision-Making. - Shomik Jain; Dana Calacci; Ashia Wilson (AIES (1), 2024)

Automating Transparency Mechanisms in the Judicial System Using LLMs: Opportunities and Challenges. - Ishana Shastri; Shomik Jain; Barbara Engelhardt; Ashia Wilson (AIES (1), 2024)

Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm. - Vishwak Srinivasan; Andre Wibisono; Ashia C. Wilson (COLT, 2024)

Algorithmic Pluralism: A Structural Approach To Equal Opportunity. - Shomik Jain; Vinith M. Suriyakumar; Kathleen Creel; Ashia Wilson (FAccT, 2024)

Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization. - Qiang Fu 023; Ashia Camage Wilson (ICML, 2024)

Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized. - Shomik Jain; Kathleen Creel; Ashia Camage Wilson (ICML, 2024)

Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized. - Shomik Jain; Kathleen Creel; Ashia Wilson (CoRR, 2024)

Faster Machine Unlearning via Natural Gradient Descent. - Omri Lev; Ashia Wilson (CoRR, 2024)

Adaptive Backtracking For Faster Optimization. - Joao V. Cavalcanti; Laurent Lessard; Ashia C. Wilson (CoRR, 2024)

Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models. - Vinith M. Suriyakumar; Rohan Alur; Ayush Sekhari; Manish Raghavan; Ashia C. Wilson (CoRR, 2024)

High-accuracy sampling from constrained spaces with the Metropolis-adjusted Preconditioned Langevin Algorithm. - Vishwak Srinivasan; Andre Wibisono; Ashia Wilson (ALT, 2025)

Allocation Multiplicity: Evaluating the Promises of the Rashomon Set. - Shomik Jain; Margaret Wang; Kathleen Creel; Ashia Wilson (FAccT, 2025)

Adaptive backtracking line search. - Joao V. Cavalcanti; Laurent Lessard; Ashia C. Wilson (ICLR, 2025)

Homogeneous Algorithms Can Reduce Competition in Personalized Pricing. - Nathanael Jo; Kathleen Creel; Ashia Wilson; Manish Raghavan (CoRR, 2025)

A Consequentialist Critique of Binary Classification Evaluation Practices. - Gerardo Flores; Abigail Schiff; Alyssa H. Smith; Julia A Fukuyama; Ashia C. Wilson (CoRR, 2025)

Layered Unlearning for Adversarial Relearning. - Timothy Qian; Vinith Suriyakumar; Ashia Wilson; Dylan Hadfield-Menell (CoRR, 2025)

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

UCD: Unlearning in LLMs via Contrastive Decoding. - Vinith M. Suriyakumar; Ayush Sekhari; Ashia Wilson (CoRR, 2025)

Semivalue-based data valuation is arbitrary and gameable. - Hannah Diehl; Ashia C. Wilson (CoRR, 2025)

Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs. - Gerardo Flores; Alyssa H. Smith; Julia A Fukuyama; Ashia C. Wilson (CoRR, 2025)

Bridging Prediction and Intervention Problems in Social Systems. - Lydia T. Liu; Inioluwa Deborah Raji; Angela Zhou; Luke Guerdan; Jessica Hullman; Daniel Malinsky; Bryan Wilder; Simone Zhang; Hammaad Adam; Amanda Coston; Benjamin Laufer; Ezinne Nwankwo; et al. (CoRR, 2025)