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Kolyan Ray

A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression

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Jun 18, 2024
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Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior

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Oct 09, 2023
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Semiparametric inference using fractional posteriors

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Jan 19, 2023
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On the inability of Gaussian process regression to optimally learn compositional functions

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May 16, 2022
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Variational Bayes for high-dimensional proportional hazards models with applications to gene expression variable selection

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Dec 19, 2021
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Spike and slab variational Bayes for high dimensional logistic regression

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Oct 22, 2020
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Debiased Bayesian inference for average treatment effects

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Sep 26, 2019
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