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. 2205.13627
  4. Cited By
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert
  Spaces

Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces

26 May 2022
Mojmír Mutný
Andreas Krause
ArXivPDFHTML

Papers citing "Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces"

9 / 9 papers shown
Title
Indirect Query Bayesian Optimization with Integrated Feedback
Indirect Query Bayesian Optimization with Integrated Feedback
Mengyan Zhang
S. Bouabid
Cheng Soon Ong
Seth Flaxman
Dino Sejdinovic
76
0
0
18 Dec 2024
Transition Constrained Bayesian Optimization via Markov Decision
  Processes
Transition Constrained Bayesian Optimization via Markov Decision Processes
Jose Pablo Folch
Calvin Tsay
Robert M. Lee
B. Shafei
Weronika Ormaniec
Andreas Krause
Mark van der Wilk
Ruth Misener
Mojmír Mutný
43
3
0
13 Feb 2024
Active Few-Shot Fine-Tuning
Active Few-Shot Fine-Tuning
Jonas Hübotter
Bhavya Sukhija
Lenart Treven
Yarden As
Andreas Krause
33
1
0
13 Feb 2024
Likelihood Ratio Confidence Sets for Sequential Decision Making
Likelihood Ratio Confidence Sets for Sequential Decision Making
N. Emmenegger
Mojmír Mutný
Andreas Krause
16
10
0
08 Nov 2023
Posterior Contraction Rates for Matérn Gaussian Processes on
  Riemannian Manifolds
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds
Paul Rosa
Viacheslav Borovitskiy
Alexander Terenin
Judith Rousseau
28
7
0
19 Sep 2023
Managing Temporal Resolution in Continuous Value Estimation: A
  Fundamental Trade-off
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off
Zichen Zhang
Johannes Kirschner
Junxi Zhang
Francesco Zanini
Alex Ayoub
Masood Dehghan
Dale Schuurmans
OffRL
11
3
0
17 Dec 2022
Experimental Design for Multi-Channel Imaging via Task-Driven Feature
  Selection
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
Stefano B. Blumberg
Paddy J. Slator
Daniel C. Alexander
26
1
0
13 Oct 2022
Near-Optimal Multi-Agent Learning for Safe Coverage Control
Near-Optimal Multi-Agent Learning for Safe Coverage Control
Manish Prajapat
M. Turchetta
M. Zeilinger
Andreas Krause
19
14
0
12 Oct 2022
Active Exploration via Experiment Design in Markov Chains
Active Exploration via Experiment Design in Markov Chains
Mojmír Mutný
Tadeusz Janik
Andreas Krause
31
14
0
29 Jun 2022
1