Ashia C. Wilson

According to our database, Ashia C. Wilson authored at least 10 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin Algorithm.

Vishwak Srinivasan, Andre Wibisono, Ashia C. Wilson

CoRR, 2023

2022

Algorithms that Approximate Data Removal: New Results and Limitations.

Vinith M. Suriyakumar, Ashia C. Wilson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A Lyapunov Analysis of Accelerated Methods in Optimization.

Ashia C. Wilson, Ben Recht, Michael I. Jordan

J. Mach. Learn. Res., 2021

2020

Approximate Cross-validation: Guarantees for Model Assessment and Selection.

Ashia C. Wilson, Maximilian Kasy, Lester Mackey

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions.

Ashia C. Wilson, Lester Mackey, Andre Wibisono

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

The Marginal Value of Adaptive Gradient Methods in Machine Learning.

Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nati Srebro, Benjamin Recht

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Breaking Locality Accelerates Block Gauss-Seidel.

Stephen Tu, Shivaram Venkataraman, Ashia C. Wilson, Alex Gittens, Michael I. Jordan, Benjamin Recht

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

A Lyapunov Analysis of Momentum Methods in Optimization.

Ashia C. Wilson, Benjamin Recht, Michael I. Jordan

CoRR, 2016

A Variational Perspective on Accelerated Methods in Optimization.

Andre Wibisono, Ashia C. Wilson, Michael I. Jordan

CoRR, 2016

2013

Streaming Variational Bayes.

Tamara Broderick, Nicholas Boyd, Andre Wibisono, Ashia C. Wilson, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013