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02/28/2023
High Probability Convergence of Stochastic Gradient Methods
In this work, we describe a generic approach to show convergence with hi...
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09/29/2022
META-STORM: Generalized Fully-Adaptive Variance Reduced SGD for Unbounded Functions
We study the application of variance reduction (VR) techniques to genera...
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09/29/2022
On the Convergence of AdaGrad on ^d: Beyond Convexity, Non-Asymptotic Rate and Acceleration
Existing analysis of AdaGrad and other adaptive methods for smooth conve...
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01/28/2022
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction
In this paper, we study the finite-sum convex optimization problem focus...
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06/15/2020
On Adversarial Bias and the Robustness of Fair Machine Learning
Optimizing prediction accuracy can come at the expense of fairness. Towa...
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03/09/2017