Functional Regression

16 June 2014

Papers citing "Functional Regression"

22 / 22 papers shown

Title
Online Functional Principal Component Analysis on a Multidimensional Domain Muye Nanshan Nan Zhang Jiguo Cao 26 0 0 04 May 2025
Bandit Optimal Transport Lorenzo Croissant 82 0 0 11 Feb 2025
An adaptive functional regression framework for spatially heterogeneous signals in spectroscopy Federico Ferraccioli Alessandro Casa M. Stefanucci 13 0 0 13 Sep 2023
Learning the Dynamics of Sparsely Observed Interacting Systems Linus Bleistein Adeline Fermanian A. Jannot Agathe Guilloux 48 5 0 27 Jan 2023
Transformer Meets Boundary Value Inverse Problems Ruchi Guo Shuhao Cao Long Chen MedIm 38 21 0 29 Sep 2022
Statistical Learning and Inverse Problems: A Stochastic Gradient Approach Yuri S. Fonseca Yuri F. Saporito 43 4 0 29 Sep 2022
Neural Networks for Scalar Input and Functional Output Sidi Wu Cédric Beaulac Jiguo Cao 14 6 0 10 Aug 2022
Functional linear and single-index models: A unified approach via Gaussian Stein identity Krishnakumar Balasubramanian Hans-Georg Müller Bharath K. Sriperumbudur 26 6 0 08 Jun 2022
Minimax Rate for Optimal Transport Regression Between Distributions Laya Ghodrati V. Panaretos OT 20 2 0 03 Jun 2022
Bayesian adaptive and interpretable functional regression for exposure profiles Yunan Gao Daniel R. Kowal 29 5 0 01 Mar 2022
Towards Empirical Process Theory for Vector-Valued Functions: Metric Entropy of Smooth Function Classes Junhyung Park Krikamol Muandet 27 6 0 09 Feb 2022
Functional additive models on manifolds of planar shapes and forms Almond Stocker Lisa Steyer S. Greven 17 5 0 06 Sep 2021
Modern Non-Linear Function-on-Function Regression Aniruddha Rajendra Rao M. Reimherr 11 19 0 29 Jul 2021
Non-linear Functional Modeling using Neural Networks Aniruddha Rajendra Rao M. Reimherr 27 29 0 19 Apr 2021
Functional L-Optimality Subsampling for Massive Data Hua Liu Jinhong You Jiguo Cao 11 4 0 08 Apr 2021
Deep Learning with Functional Inputs Barinder Thind Kevin Multani Jiguo Cao 19 21 0 17 Jun 2020
Manifold Structured Prediction Alessandro Rudi C. Ciliberto Gian Maria Marconi Lorenzo Rosasco 37 18 0 26 Jun 2018
Sparse Wavelet Estimation in Quantile Regression with Multiple Functional Predictors Dengdeng Yu Li Zhang I. Mizera Bei Jiang Linglong Kong 26 29 0 07 Jun 2017
Boosting Functional Regression Models with FDboost S. Brockhaus David Rügamer S. Greven 13 40 0 30 May 2017
Fast symmetric additive covariance smoothing Jona Cederbaum Fabian Scheipl S. Greven 11 16 0 22 Sep 2016
Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical Signals David Rügamer S. Brockhaus K. Gentsch K. Scherer S. Greven 43 31 0 20 Sep 2016
A reproducing kernel Hilbert space approach to functional linear regression M. Yuan Tommaso Cai 95 278 0 12 Nov 2012