Ashia C. Wilson

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2017
Позовавания	2189	2061
h-индекс	12	12
i10-индекс	12	12

520

260

130

390

20142015201620172018201920202021202231 41 45 120 272 404 512 494 256

Публичен достъп

Преглед на всички

5 статии

0 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyПотвърден имейл адрес: cs.berkeley.edu
Andre WibisonoAssistant Professor at Yale UniversityПотвърден имейл адрес: yale.edu
Benjamin RechtAssociate Professor of EECS, University of California, BerkeleyПотвърден имейл адрес: eecs.berkeley.edu
Tamara BroderickAssociate Professor of EECS, Massachusetts Institute of TechnologyПотвърден имейл адрес: mit.edu
Nathan SrebroProfessor, TTIC and University of ChicagoПотвърден имейл адрес: ttic.edu
Mitchell SternUC BerkeleyПотвърден имейл адрес: berkeley.edu
Nicholas BoydUC BerkeleyПотвърден имейл адрес: berkeley.edu
Lester MackeyMicrosoft ResearchПотвърден имейл адрес: microsoft.com
Shivaram VenkataramanUniversity of Wisconsin-MadisonПотвърден имейл адрес: cs.wisc.edu
Stephen TuGoogleПотвърден имейл адрес: google.com

Следене

Ashia C. Wilson

Assistant Professor at MIT

Потвърден имейл адрес: mit.edu - Начална страница

Machine Learning Optimization Dynamical Systems Statistics


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
The marginal value of adaptive gradient methods in machine learning AC Wilson, R Roelofs, M Stern, N Srebro, B Recht Advances in Neural Information Processing Systems 30, 2017	905	2017
A variational perspective on accelerated methods in optimization A Wibisono, AC Wilson, MI Jordan Proceedings of the National Academy of Sciences 113 (47), E7351-E7358, 2016	399	2016
Streaming variational bayes T Broderick, N Boyd, A Wibisono, AC Wilson, MI Jordan Advances in neural information processing systems 26, 2013	338	2013
A Lyapunov Analysis of Accelerated Methods in Optimization AC Wilson, B Recht, MI Jordan Journal of Machine Learning Research 22 (113), 1-34, 2021	255	2021
On symplectic optimization M Betancourt, MI Jordan, AC Wilson arXiv preprint arXiv:1802.03653, 2018	67	2018
The Disparate Equilibria of Algorithmic Decision Making when Individuals Invest Rationally LT Liu, AC Wilson, N Haghtalab, AT Kalai, C Borgs, J Chayes FAT* 2020: Proc. 3rd Annual ACM FAT* Conference, 2020, 2019	49	2019
Posteriors, conjugacy, and exponential families for completely random measures T Broderick, AC Wilson, MI Jordan Bernoulli 24 (4B), 3181-3221, 2018	37	2018
Accelerating rescaled gradient descent: fast optimization of smooth functions AC Wilson, L Mackey, A Wibisono Advances in Neural Information Processing Systems 33, 2019	35	2019
Breaking locality accelerates block gauss-seidel S Tu, S Venkataraman, AC Wilson, A Gittens, MI Jordan, B Recht Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017	34	2017
Lyapunov Arguments in Optimization AC Wilson UC Berkeley, 2018	27	2018
On accelerated methods in optimization A Wibisono, AC Wilson arXiv preprint arXiv:1509.03616, 2015	25	2015
Approximate Cross-validation: Guarantees for Model Assessment and Selection AC Wilson, M Kasy, L Mackey Proceedings of the 23rd International Conference on Artificial Intelligence …, 2020	18	2020
Multilevel Optimization for Inverse Problems S Weissmann, AC Wilson, J Zech Conference on Learning Theory, 2022, 2022		2022
A variational perspective on accelerated methods in optimization Open Website AC Wilson
A Lyapunov Analysis of Accelerated Methods in Optimization Open Website AC Wilson
PNAS PLUS A Wibisono, AC Wilson, MI Jordan

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