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05/17/2023
Optimality of Message-Passing Architectures for Sparse Graphs
We study the node classification problem on feature-decorated graphs in ...
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10/12/2022
Concentration of the exponential mechanism and differentially private multivariate medians
We prove concentration inequalities for the output of the exponential me...
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06/08/2022
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
We study the scaling limits of stochastic gradient descent (SGD) with co...
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04/20/2022
Effects of Graph Convolutions in Deep Networks
Graph Convolutional Networks (GCNs) are one of the most popular architec...
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09/03/2021
Circuit Lower Bounds for the p-Spin Optimization Problem
We consider the problem of finding a near ground state of a p-spin model...
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02/13/2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
Recently there has been increased interest in semi-supervised classifica...
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04/25/2020
Low-Degree Hardness of Random Optimization Problems
We consider the problem of finding nearly optimal solutions of optimizat...
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03/23/2020
A classification for the performance of online SGD for high-dimensional inference
Stochastic gradient descent (SGD) is a popular algorithm for optimizatio...
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08/26/2019
The Overlap Gap Property in Principal Submatrix Recovery
We study support recovery for a k × k principal submatrix with elevated ...
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12/08/2018
Statistical thresholds for Tensor PCA
We study the statistical limits of testing and estimation for a rank one...
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08/02/2018
