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Prediction in Functional Linear Regression

The Annals of statistics, 2006-10, Vol.34 (5), p.2159-2179

2006

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Properties of Principal Component Methods for Functional and Longitudinal Data Analysis

The Annals of statistics, 2006-06, Vol.34 (3), p.1493-1517

2006

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NONASYMPTOTIC CONVERGENCE ANALYSIS FOR THE UNADJUSTED LANGEVIN ALGORITHM

The Annals of applied probability, 2017-06, Vol.27 (3), p.1551-1587

2017

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High-dimensional Bayesian inference via the unadjusted Langevin algorithm

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2019-11, Vol.25 (4A)

2019

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On the Convergence of Block Coordinate Descent Type Methods

SIAM journal on optimization, 2013-01, Vol.23 (4), p.2037-2060

2013

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Analysis of a random forests model

Journal of machine learning research, 2012-04, Vol.13, p.1063-1095

Biau, Gérard

2012

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STRONG IDENTIFIABILITY AND OPTIMAL MINIMAX RATES FOR FINITE MIXTURE ESTIMATION

The Annals of statistics, 2018-12, Vol.46 (6A), p.2844-2870

2018

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Uniform regularity for a Keller–Segel–Navier–Stokes system

Applied mathematics letters, 2020-09, Vol.107, p.106476, Article 106476

2020

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Equivalence of approximation by convolutional neural networks and fully-connected networks

Proceedings of the American Mathematical Society, 2020-04, Vol.148 (4), p.1567-1581

2020

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Exponential convergence of distributed primal–dual convex optimization algorithm without strong convexity

Automatica (Oxford), 2019-07, Vol.105, p.298-306

2019

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A sharp upper bound for sampling numbers in L2

Applied and computational harmonic analysis, 2023-03, Vol.63, p.113-134

2023

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Greedy Quasi-Newton Methods with Explicit Superlinear Convergence

SIAM journal on optimization, 2021-01, Vol.31 (1), p.785-811

2021

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ON DEEP LEARNING AS A REMEDY FOR THE CURSE OF DIMENSIONALITY IN NONPARAMETRIC REGRESSION

The Annals of statistics, 2019-08, Vol.47 (4), p.2261-2285

2019

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Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games I: The Ergodic Case

SIAM journal on numerical analysis, 2021-01, Vol.59 (3), p.1455-1485

2021

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A strong uniform approximation of fractional Brownian motion by means of transport processes

Stochastic processes and their applications, 2009-10, Vol.119 (10), p.3435-3452

2009

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New higher order Haar wavelet method: Application to FGM structures

Composite structures, 2018-10, Vol.201, p.72-78

2018

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On the rate of convergence of fully connected deep neural network regression estimates

The Annals of statistics, 2021-08, Vol.49 (4), p.2231

2021

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Multivariate ranks and quantiles using optimal transport: Consistency, rates and nonparametric testing

The Annals of statistics, 2022-04, Vol.50 (2), p.1012

2022

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Adaptive Thresholding for Sparse Covariance Matrix Estimation

Journal of the American Statistical Association, 2011-06, Vol.106 (494), p.672-684

2011

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Optimal Convergence Rates for Nesterov Acceleration

SIAM journal on optimization, 2019-01, Vol.29 (4), p.3131-3153

2019

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On the Convergence of Alternating Minimization for Convex Programming with Applications to Iteratively Reweighted Least Squares and Decomposition Schemes

SIAM journal on optimization, 2015-01, Vol.25 (1), p.185-209

Beck, Amir

2015

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New Results on Superlinear Convergence of Classical Quasi-Newton Methods

Journal of optimization theory and applications, 2021-03, Vol.188 (3), p.744-769

2021

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Estimation of a Function of Low Local Dimensionality by Deep Neural Networks

IEEE transactions on information theory, 2022-06, Vol.68 (6), p.4032-4042

2022

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A Distributed Newton Method for Network Utility Maximization-I: Algorithm

IEEE transactions on automatic control, 2013-09, Vol.58 (9), p.2162-2175

2013

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SUBGEOMETRIC RATES OF CONVERGENCE OF THE GI/G/1 QUEUEING SYSTEM

Acta mathematica scientia, 2012-09, Vol.32 (5), p.1983-1996

2012

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Prediction in Functional Linear Regression

Properties of Principal Component Methods for Functional and Longitudinal Data Analysis

NONASYMPTOTIC CONVERGENCE ANALYSIS FOR THE UNADJUSTED LANGEVIN ALGORITHM

High-dimensional Bayesian inference via the unadjusted Langevin algorithm

On the Convergence of Block Coordinate Descent Type Methods

Analysis of a random forests model

STRONG IDENTIFIABILITY AND OPTIMAL MINIMAX RATES FOR FINITE MIXTURE ESTIMATION

Uniform regularity for a Keller–Segel–Navier–Stokes system

Equivalence of approximation by convolutional neural networks and fully-connected networks

Exponential convergence of distributed primal–dual convex optimization algorithm without strong convexity

A sharp upper bound for sampling numbers in L2

Greedy Quasi-Newton Methods with Explicit Superlinear Convergence

ON DEEP LEARNING AS A REMEDY FOR THE CURSE OF DIMENSIONALITY IN NONPARAMETRIC REGRESSION

Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games I: The Ergodic Case

A strong uniform approximation of fractional Brownian motion by means of transport processes

New higher order Haar wavelet method: Application to FGM structures

On the rate of convergence of fully connected deep neural network regression estimates

Multivariate ranks and quantiles using optimal transport: Consistency, rates and nonparametric testing

Adaptive Thresholding for Sparse Covariance Matrix Estimation

Optimal Convergence Rates for Nesterov Acceleration

On the Convergence of Alternating Minimization for Convex Programming with Applications to Iteratively Reweighted Least Squares and Decomposition Schemes

New Results on Superlinear Convergence of Classical Quasi-Newton Methods

Estimation of a Function of Low Local Dimensionality by Deep Neural Networks

A Distributed Newton Method for Network Utility Maximization-I: Algorithm

SUBGEOMETRIC RATES OF CONVERGENCE OF THE GI/G/1 QUEUEING SYSTEM

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