ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1510.08231
  4. Cited By
Operator-valued Kernels for Learning from Functional Response Data

Operator-valued Kernels for Learning from Functional Response Data

28 October 2015
Hachem Kadri
E. Duflos
Philippe Preux
S. Canu
A. Rakotomamonjy
Julien Audiffren
ArXivPDFHTML

Papers citing "Operator-valued Kernels for Learning from Functional Response Data"

13 / 13 papers shown
Title
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
Yassir Bendou
Amine Ouasfi
Vincent Gripon
A. Boukhayma
VLM
51
0
0
19 Jan 2025
Learning signals defined on graphs with optimal transport and Gaussian process regression
Learning signals defined on graphs with optimal transport and Gaussian process regression
Raphael Carpintero Perez
Sébastien da Veiga
Josselin Garnier
B. Staber
28
1
0
21 Oct 2024
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features
Oliver R. A. Dunbar
Nicholas H. Nelsen
Maya Mutic
18
5
0
30 Jun 2024
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
Emilia Magnani
Marvin Pfortner
Tobias Weber
Philipp Hennig
UQCV
55
1
0
07 Jun 2024
Spectral Truncation Kernels: Noncommutativity in $C^*$-algebraic Kernel Machines
Spectral Truncation Kernels: Noncommutativity in C∗C^*C∗-algebraic Kernel Machines
Yuka Hashimoto
Ayoub Hafid
Masahiro Ikeda
Hachem Kadri
24
1
0
28 May 2024
Vector-Valued Least-Squares Regression under Output Regularity
  Assumptions
Vector-Valued Least-Squares Regression under Output Regularity Assumptions
Luc Brogat-Motte
Alessandro Rudi
Céline Brouard
Juho Rousu
Florence dÁlché-Buc
10
6
0
16 Nov 2022
Learning linear operators: Infinite-dimensional regression as a
  well-behaved non-compact inverse problem
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
Mattes Mollenhauer
Nicole Mücke
T. Sullivan
11
24
0
16 Nov 2022
Conditional Distributional Treatment Effect with Kernel Conditional Mean
  Embeddings and U-Statistic Regression
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression
Junhyung Park
Uri Shalit
Bernhard Schölkopf
Krikamol Muandet
CML
8
31
0
16 Feb 2021
Handling Hard Affine SDP Shape Constraints in RKHSs
Handling Hard Affine SDP Shape Constraints in RKHSs
Pierre-Cyril Aubin-Frankowski
Z. Szabó
13
7
0
05 Jan 2021
Parametric machines: a fresh approach to architecture search
Parametric machines: a fresh approach to architecture search
Pietro Vertechi
M. Bergomi
8
2
0
06 Jul 2020
A Framework for Interdomain and Multioutput Gaussian Processes
A Framework for Interdomain and Multioutput Gaussian Processes
Mark van der Wilk
Vincent Dutordoir
S. T. John
A. Artemev
Vincent Adam
J. Hensman
35
94
0
02 Mar 2020
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings
Junhyung Park
Krikamol Muandet
15
77
0
10 Feb 2020
Multi-view Metric Learning in Vector-valued Kernel Spaces
Multi-view Metric Learning in Vector-valued Kernel Spaces
Riikka Huusari
Hachem Kadri
Cécile Capponi
21
14
0
21 Mar 2018
1