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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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Some properties of modified Szász–Mirakyan operators in polynomial spaces via the power summability method

Journal of applied analysis, 2020-06, Vol.26 (1), p.79-90

Braha, Naim L.

2020

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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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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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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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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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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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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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CONCENTRATION OF TEMPERED POSTERIORS AND OF THEIR VARIATIONAL APPROXIMATIONS

The Annals of statistics, 2020-06, Vol.48 (3), p.1475-1497

2020

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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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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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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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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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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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Characterization of finite shift via Herglotz's representation

Journal of mathematical analysis and applications, 2025-02, Vol.542 (1), p.128883, Article 128883

Cruz-Zamorano, Francisco J.

2025

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The asymptotic behaviour of the Cesàro operator

Journal of mathematical analysis and applications, 2025-03, Vol.543 (1), p.128847, Article 128847

2025

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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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Prediction in Functional Linear Regression

Properties of Principal Component Methods for Functional and Longitudinal Data Analysis

Some properties of modified Szász–Mirakyan operators in polynomial spaces via the power summability method

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

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

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

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

A sharp upper bound for sampling numbers in L2

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

Greedy Quasi-Newton Methods with Explicit Superlinear Convergence

CONCENTRATION OF TEMPERED POSTERIORS AND OF THEIR VARIATIONAL APPROXIMATIONS

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

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

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

New higher order Haar wavelet method: Application to FGM structures

Adaptive Thresholding for Sparse Covariance Matrix Estimation

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

Characterization of finite shift via Herglotz's representation

The asymptotic behaviour of the Cesàro operator

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

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