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08/18/2023
Path convergence of Markov chains on large graphs
We consider two classes of natural stochastic processes on finite unlabe...
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10/02/2022
Stochastic optimization on matrices and a graphon McKean-Vlasov limit
We consider stochastic gradient descents on the space of large symmetric...
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11/18/2021
Gradient flows on graphons: existence, convergence, continuity equations
Wasserstein gradient flows on probability measures have found a host of ...
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06/27/2021
Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds
This paper studies the problem of sparse regression where the goal is to...
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06/02/2021
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes
Learning binary representations of instances and classes is a classical ...
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04/22/2021
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
Modern machine learning increasingly requires training on a large collec...
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06/17/2020
Robust Meta-learning for Mixed Linear Regression with Small Batches
A common challenge faced in practical supervised learning, such as medic...
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02/20/2020
Meta-learning for mixed linear regression
In modern supervised learning, there are a large number of tasks, but ma...
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02/08/2020
Soft Threshold Weight Reparameterization for Learnable Sparsity
Sparsity in Deep Neural Networks (DNNs) is studied extensively with the ...
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10/21/2019
Non-Gaussianity of Stochastic Gradient Noise
What enables Stochastic Gradient Descent (SGD) to achieve better general...
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10/31/2018
Clustered Monotone Transforms for Rating Factorization
Exploiting low-rank structure of the user-item rating matrix has been th...
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07/07/2017
