Sotabase

Career

· Assistant Professor, Yale University2021–
· Researcher / Postdoctoral Researcher, UC Berkeley2016–
· Graduate Student / PhD Student, UC Berkeley2013–
· MA in Statistics, UC Berkeley2013–
· MEng in Computer Science, MIT2010–
· SB in Mathematics and Computer Science, MIT2009–

Publications (53)

A variational perspective on accelerated methods in optimization
Proceedings of the National Academy of Sciences of the United States of America · 2016
619
cited
Optimal Rates for Zero-Order Convex Optimization: The Power of Two Function Evaluations
IEEE Transactions on Information Theory · 2013
549
cited
Streaming Variational Bayes
Neural Information Processing Systems · 2013
360
cited
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
Neural Information Processing Systems · 2019
321
cited
Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem
Annual Conference Computational Learning Theory · 2018
201
cited
Improved analysis for a proximal algorithm for sampling
Annual Conference Computational Learning Theory · 2022
81
cited
Last-iterate convergence rates for min-max optimization
arXiv.org · 2019
75
cited
Maximum entropy distributions on graphs
2013
57
cited
Proximal Langevin Algorithm: Rapid Convergence Under Isoperimetry
arXiv.org · 2019
56
cited
The Mirror Langevin Algorithm Converges with Vanishing Bias
International Conference on Algorithmic Learning Theory · 2021
45
cited
Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions
Neural Information Processing Systems · 2019
39
cited
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods
Neural Information Processing Systems · 2012
38
cited
On Accelerated Methods in Optimization
2015
29
cited
Convergence in KL Divergence of the Inexact Langevin Algorithm with Application to Score-based Generative Models
arXiv.org · 2022
28
cited
Minimax option pricing meets black-scholes in the limit
Symposium on the Theory of Computing · 2012
24
cited
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Łojasiewicz Functions when the Non-Convexity is Averaged-Out
International Conference on Machine Learning · 2022
24
cited
Alternating Mirror Descent for Constrained Min-Max Games
Neural Information Processing Systems · 2022
23
cited
Information and estimation in Fokker-Planck channels
International Symposium on Information Theory · 2017
21
cited
Sufficient Conditions for Uniform Stability of Regularization Algorithms
2009
19
cited
Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization
International Conference on Learning Representations · 2023
18
cited
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Andre Wibisono | Researcher Profile | Sotabase | Sotabase