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04/20/2023
Learning Narrow One-Hidden-Layer ReLU Networks
We consider the well-studied problem of learning a linear combination of...
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05/04/2022
Rates of estimation for high-dimensional multi-reference alignment
We study the continuous multi-reference alignment model of estimating a ...
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09/29/2021
On the One-sided Convergence of Adam-type Algorithms in Non-convex Non-concave Min-max Optimization
Adam-type methods, the extension of adaptive gradient methods, have show...
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07/01/2021
Gap-Dependent Bounds for Two-Player Markov Games
As one of the most popular methods in the field of reinforcement learnin...
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05/07/2021
Diff-ResNets for Few-shot Learning – an ODE Perspective
Interpreting deep neural networks from the ordinary differential equatio...
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03/09/2020
When can Wasserstein GANs minimize Wasserstein Distance?
Generative Adversarial Networks (GANs) are widely used models to learn c...
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10/26/2019
Finding Mixed Strategy Nash Equilibrium for Continuous Games through Deep Learning
Nash equilibrium has long been a desired solution concept in multi-playe...
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11/15/2018
Mathematical Analysis of Adversarial Attacks
In this paper, we analyze efficacy of the fast gradient sign method (FGS...
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08/10/2018
