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05/26/2023
Feature Adaptation for Sparse Linear Regression
Sparse linear regression is a central problem in high-dimensional statis...
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03/01/2023
Sampling with Barriers: Faster Mixing via Lewis Weights
We analyze Riemannian Hamiltonian Monte Carlo (RHMC) for sampling a poly...
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06/17/2021
On the Power of Preconditioning in Sparse Linear Regression
Sparse linear regression is a fundamental problem in high-dimensional st...
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12/10/2019
High-precision Estimation of Random Walks in Small Space
In this paper, we provide a deterministic Õ(log N)-space algorithm for e...
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05/03/2019
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
Gaussian Graphical Models (GGMs) have wide-ranging applications in machi...
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11/26/2018
