Proximal algorithms in statistics and machine learning

From MaRDI portal
Publication:1790304

DOI10.1214/15-STS530zbMath1426.62213arXiv1502.03175OpenAlexW2962943048MaRDI QIDQ1790304

James G. Scott, Brandon T. Willard, Nicholas G. Polson

Publication date: 2 October 2018

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1502.03175



Related Items

Active-set algorithm-based statistical inference for shape-restricted generalized additive Cox regression models, A User-Friendly Computational Framework for Robust Structured Regression with the L2 Criterion, Phase-only transmit beampattern design for large phased array antennas with multi-point nulling, Sparse Single Index Models for Multivariate Responses, Estimating Multiple Precision Matrices With Cluster Fusion Regularization, Homogeneity detection for the high-dimensional generalized linear model, Convergence rate analysis for fixed-point iterations of generalized averaged nonexpansive operators, Proximal Splitting Algorithms for Convex Optimization: A Tour of Recent Advances, with New Twists, An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee, Weighted Bayesian bootstrap for scalable posterior distributions, Hot-spots detection in count data by Poisson assisted smooth sparse tensor decomposition, Proximal variable metric method with spectral diagonal update for large scale sparse optimization, Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With Non-differentiable Priors, Bayesian quickest detection of credit card fraud, Unnamed Item, Binned multinomial logistic regression for integrative cell-type annotation, Alternating direction method of multipliers for nonconvex log total variation image restoration, Global-local mixtures: a unifying framework, Proximal statistic: asymptotic normality, Unnamed Item, A covariance-enhanced approach to multitissue joint eQTL mapping with application to transcriptome-wide association studies, Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data, The horseshoe-like regularization for feature subset selection, Lasso meets horseshoe: a survey, An MM Algorithm for Split Feasibility Problems, Convex clustering for binary data, Solving Fused Penalty Estimation Problems via Block Splitting Algorithms, Is EM really necessary here? Examples where it seems simpler not to use EM, Rendition: Reclaiming What a Black Box Takes Away, Dualize, split, randomize: toward fast nonsmooth optimization algorithms, High-performance statistical computing in the computing environments of the 2020s, Unnamed Item, One-Step Estimation with Scaled Proximal Methods



Cites Work