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02/25/2023
Average case analysis of Lasso under ultra-sparse conditions
We analyze the performance of the least absolute shrinkage and selection...
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02/02/2023
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models for General Sensing Matrices
In realistic compressed sensing (CS) scenarios, the obtained measurement...
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11/20/2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
We consider the ubiquitous linear inverse problems with additive Gaussia...
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11/02/2022
Quantized Compressed Sensing with Score-Based Generative Models
We consider the general problem of recovering a high-dimensional signal ...
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10/21/2021
Decision Theoretic Cutoff and ROC Analysis for Bayesian Optimal Group Testing
We study the inference problem in the group testing to identify defectiv...
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10/16/2021
On Model Selection Consistency of Lasso for High-Dimensional Ising Models on Tree-like Graphs
We consider the problem of high-dimensional Ising model selection using ...
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05/01/2021
Matrix completion based on Gaussian belief propagation
We develop a message-passing algorithm for noisy matrix completion probl...
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02/08/2021
Ising Model Selection Using â„“_1-Regularized Linear Regression
We theoretically investigate the performance of â„“_1-regularized linear r...
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08/19/2020
Structure Learning in Inverse Ising Problems Using â„“_2-Regularized Linear Estimator
Inferring interaction parameters from observed data is a ubiquitous requ...
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08/07/2020
Perfect Reconstruction of Sparse Signals via Greedy Monte-Carlo Search
We propose a Monte-Carlo-based method for reconstructing sparse signals ...
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03/19/2020
Semi-analytic approximate stability selection for correlated data in generalized linear models
We consider the variable selection problem of generalized linear models ...
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01/09/2020
Macroscopic Analysis of Vector Approximate Message Passing in a Model Mismatch Setting
Vector approximate message passing (VAMP) is an efficient approximate in...
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12/25/2019
Learning performance in inverse Ising problems with sparse teacher couplings
We investigate the learning performance of the pseudolikelihood maximiza...
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06/29/2019
Approximate matrix completion based on cavity method
In order to solve large matrix completion problems with practical comput...
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05/23/2019
Replicated Vector Approximate Message Passing For Resampling Problem
Resampling techniques are widely used in statistical inference and ensem...
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01/14/2019
High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study
Learning the undirected graph structure of a Markov network from data is...
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05/29/2018
Statistical mechanical analysis of sparse linear regression as a variable selection problem
An algorithmic limit of compressed sensing or related variable-selection...
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03/27/2018
A statistical mechanics approach to de-biasing and uncertainty estimation in LASSO for random measurements
In high-dimensional statistical inference in which the number of paramet...
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02/28/2018
Semi-Analytic Resampling in Lasso
An approximate method for conducting resampling in Lasso, the â„“_1 penali...
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11/15/2017
Accelerating Cross-Validation in Multinomial Logistic Regression with â„“_1-Regularization
We develop an approximate formula for evaluating a cross-validation esti...
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10/25/2016
Approximate cross-validation formula for Bayesian linear regression
Cross-validation (CV) is a technique for evaluating the ability of stati...
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02/06/2014
