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06/09/2023
Bayes optimal learning in high-dimensional linear regression with network side information
Supervised learning problems with side information in the form of a netw...
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12/20/2022
Random linear estimation with rotationally-invariant designs: Asymptotics at high temperature
We study estimation in the linear model y=Aβ^⋆+ϵ, in a Bayesian setting ...
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11/15/2022
Sparse Signal Detection in Heteroscedastic Gaussian Sequence Models: Sharp Minimax Rates
Given a heterogeneous Gaussian sequence model with unknown mean θ∈ℝ^d an...
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08/04/2022
Spectral Universality of Regularized Linear Regression with Nearly Deterministic Sensing Matrices
It has been observed that the performances of many high-dimensional esti...
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05/20/2022
A New Central Limit Theorem for the Augmented IPW Estimator: Variance Inflation, Cross-Fit Covariance and Beyond
Estimation of the average treatment effect (ATE) is a central problem in...
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04/09/2022
High-dimensional Asymptotics of Langevin Dynamics in Spiked Matrix Models
We study Langevin dynamics for recovering the planted signal in the spik...
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04/06/2022
A Short Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists
This tutorial is based on lecture notes written for a class taught in th...
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03/14/2022
The TAP free energy for high-dimensional linear regression
We derive a variational representation for the log-normalizing constant ...
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10/19/2021
Regret Minimization in Isotonic, Heavy-Tailed Contextual Bandits via Adaptive Confidence Bands
In this paper we initiate a study of non parametric contextual bandits u...
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04/25/2021
Variational Inference in high-dimensional linear regression
We study high-dimensional Bayesian linear regression with product priors...
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11/15/2020
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity
We study community detection in the contextual stochastic block model ar...
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03/01/2020
On Minimax Exponents of Sparse Testing
We consider exact asymptotics of the minimax risk for global testing aga...
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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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07/23/2018
Contextual Stochastic Block Models
We provide the first information theoretic tight analysis for inference ...
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05/27/2018
Preferential Attachment When Stable
We study an urn process with two urns, initialized with a ball each. Bal...
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04/30/2018
LBP: Robust Rate Adaptation Algorithm for SVC Video Streaming
Video streaming today accounts for up to 55% of mobile traffic. In this ...
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04/30/2018
DBABP: Robust Rate Adaptation Algorithm for SVC Video Streaming
Video streaming today accounts for up to 55% of mobile traffic. In this ...
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04/14/2018