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06/02/2023
Smooth Model Predictive Control with Applications to Statistical Learning
Statistical learning theory and high dimensional statistics have had a t...
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05/25/2023
How to escape sharp minima
Modern machine learning applications have seen a remarkable success of o...
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12/04/2020
Network Group Testing
We consider the problem of identifying infected individuals in a populat...
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06/08/2020
Stochastic Optimization with Non-stationary Noise
We investigate stochastic optimization problems under relaxed assumption...
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02/10/2020
On Complexity of Finding Stationary Points of Nonsmooth Nonconvex Functions
We provide the first non-asymptotic analysis for finding stationary poin...
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09/28/2019
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Federated learning is a new distributed machine learning approach, where...
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05/28/2019
Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition
We provide a theoretical explanation for the fast convergence of gradien...
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10/17/2018
Finite sample expressive power of small-width ReLU networks
We study universal finite sample expressivity of neural networks, define...
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04/02/2018
Resilient Non-Submodular Maximization over Matroid Constraints
Applications in control, robotics, and optimization motivate the design ...
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02/10/2018
