Sparse Regression Learning by Aggregation and Langevin Monte-Carlo

6 March 2009

Papers citing "Sparse Regression Learning by Aggregation and Langevin Monte-Carlo"

50 / 93 papers shown

Title
Operator-Level Quantum Acceleration of Non-Logconcave Sampling Jiaqi Leng Zhiyan Ding Zherui Chen Lin Lin 62 0 0 08 May 2025
Kullback-Leibler excess risk bounds for exponential weighted aggregation in Generalized linear models Tien Mai FedML 36 0 0 14 Apr 2025
Optimal sparse phase retrieval via a quasi-Bayesian approach Tien Mai 32 0 0 13 Apr 2025
Sparse Nonparametric Contextual Bandits Hamish Flynn Julia Olkhovskaya Paul Rognon-Vael 51 0 0 20 Mar 2025
Sampling with Adaptive Variance for Multimodal Distributions Bjorn Engquist Kui Ren Yunan Yang 67 1 0 20 Nov 2024
Covariance estimation using Markov chain Monte Carlo Yunbum Kook Matthew Shunshi Zhang 16 1 0 22 Oct 2024
High-dimensional prediction for count response via sparse exponential weights The Tien Mai 30 0 0 20 Oct 2024
A sparse PAC-Bayesian approach for high-dimensional quantile prediction The Tien Mai 28 3 0 03 Sep 2024
Misclassification excess risk bounds for PAC-Bayesian classification via convexified loss The Tien Mai 19 0 0 16 Aug 2024
Rényi-infinity constrained sampling with $d^3$ membership queries Yunbum Kook Matthew Shunshi Zhang 24 1 0 17 Jul 2024
Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance The Tien Mai 33 0 0 29 May 2024
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies Yunbum Kook Santosh Vempala Matthew Shunshi Zhang 25 7 0 02 May 2024
Misclassification bounds for PAC-Bayesian sparse deep learning The Tien Mai UQCV BDL 49 3 0 02 May 2024
$On properties of fractional posterior in generalized reduced-rank regression$ On properties of fractional posterior in generalized reduced-rank regression The Tien Mai 31 1 0 27 Apr 2024
$Concentration properties of fractional posterior in 1-bit matrix completion$ Concentration properties of fractional posterior in 1-bit matrix completion The Tien Mai 33 3 0 13 Apr 2024
On high-dimensional classification by sparse generalized Bayesian logistic regression The Tien Mai 46 1 0 19 Mar 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning Eli Chien Haoyu Wang Ziang Chen Pan Li MU 32 8 0 18 Jan 2024
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation Jianqing Fan Jiawei Ge Debarghya Mukherjee AI4TS 23 6 0 28 Jun 2023
Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions Xiang Cheng Bohan Wang J. Zhang Yusong Zhu 13 6 0 18 Jun 2023
Graphon Estimation in bipartite graphs with observable edge labels and unobservable node labels Etienne Donier-Meroz A. Dalalyan F. Kramarz Philippe Choné Xavier d'Haultfoeuille 17 3 0 07 Apr 2023
Query lower bounds for log-concave sampling Sinho Chewi Jaume de Dios Pont Jerry Li Chen Lu Shyam Narayanan 32 8 0 05 Apr 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality Alireza Mousavi-Hosseini Tyler Farghly Ye He Krishnakumar Balasubramanian Murat A. Erdogdu 45 25 0 07 Mar 2023
An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow Carles Domingo-Enrich Aram-Alexandre Pooladian MDE 21 11 0 23 Feb 2023
Improved Discretization Analysis for Underdamped Langevin Monte Carlo Matthew Shunshi Zhang Sinho Chewi Mufan Bill Li Krishnakumar Balasubramanian Murat A. Erdogdu 20 34 0 16 Feb 2023
Stochastic Langevin Monte Carlo for (weakly) log-concave posterior distributions Marelys Crespo Navas S. Gadat X. Gendre 24 0 0 08 Jan 2023
Simple proof of the risk bound for denoising by exponential weights for asymmetric noise distributions A. Dalalyan 16 2 0 25 Dec 2022
A sharp uniform-in-time error estimate for Stochastic Gradient Langevin Dynamics Lei Li Yuliang Wang 39 11 0 19 Jul 2022
Optimal quasi-Bayesian reduced rank regression with incomplete response The Tien Mai Pierre Alquier 31 2 0 17 Jun 2022
Concentration analysis of multivariate elliptic diffusion processes Cathrine Aeckerle-Willems C. Strauch Lukas Trottner 33 1 0 07 Jun 2022
Constrained Langevin Algorithms with L-mixing External Random Variables Yu Zheng Andrew G. Lamperski 17 5 0 27 May 2022
On change of measure inequalities for $f$ -divergences Antoine Picard-Weibel Benjamin Guedj 25 13 0 11 Feb 2022
Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints Christian Soize 22 5 0 10 Feb 2022
Risk bounds for aggregated shallow neural networks using Gaussian prior L. Tinsi A. Dalalyan BDL 12 7 0 21 Dec 2021
Conditionally Gaussian PAC-Bayes Eugenio Clerico George Deligiannidis Arnaud Doucet 31 10 0 22 Oct 2021
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 57 196 0 21 Oct 2021
PAC-Bayesian Matrix Completion with a Spectral Scaled Student Prior The Tien Mai 36 2 0 16 Apr 2021
Online learning with exponential weights in metric spaces Q. Paris 24 4 0 26 Mar 2021
Data-driven aggregation in circular deconvolution Jan Johannes Xavier Loizeau 23 0 0 01 Feb 2021
Functional inequalities for perturbed measures with applications to log-concave measures and to some Bayesian problems P. Cattiaux Arnaud Guillin 8 18 0 27 Jan 2021
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm Sinho Chewi Chen Lu Kwangjun Ahn Xiang Cheng Thibaut Le Gouic Philippe Rigollet 14 63 0 23 Dec 2020
Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets Christian Soize R. Ghanem AI4CE 9 26 0 27 Oct 2020
Accelerating Nonconvex Learning via Replica Exchange Langevin Diffusion Yi Chen Jinglin Chen Jing-rong Dong Jian-wei Peng Zhaoran Wang 4 31 0 04 Jul 2020
On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness Murat A. Erdogdu Rasa Hosseinzadeh 6 74 0 27 May 2020
The exponentially weighted average forecaster in geodesic spaces of non-positive curvature Q. Paris 11 1 0 03 Feb 2020
Generative Modeling with Denoising Auto-Encoders and Langevin Sampling Adam Block Youssef Mroueh Alexander Rakhlin DiffM 12 96 0 31 Jan 2020
Bounding the error of discretized Langevin algorithms for non-strongly log-concave targets A. Dalalyan Avetik G. Karagulyan L. Riou-Durand 17 39 0 20 Jun 2019
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond Xuechen Li Denny Wu Lester W. Mackey Murat A. Erdogdu 22 70 0 19 Jun 2019
On stochastic gradient Langevin dynamics with dependent data streams: the fully non-convex case N. H. Chau '. Moulines Miklós Rásonyi Sotirios Sabanis Ying Zhang 9 41 0 30 May 2019
A Primer on PAC-Bayesian Learning Benjamin Guedj 11 220 0 16 Jan 2019
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior Gaël Letarte Emilie Morvant Pascal Germain BDL 4 2 0 30 Oct 2018