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. 2212.01310
  4. Cited By
Gaussian Process regression over discrete probability measures: on the
  non-stationarity relation between Euclidean and Wasserstein Squared
  Exponential Kernels

Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels

2 December 2022
Antonio Candelieri
Andrea Ponti
Francesco Archetti
ArXivPDFHTML

Papers citing "Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels"

2 / 2 papers shown
Title
Batch Bayesian Optimization via Particle Gradient Flows
Batch Bayesian Optimization via Particle Gradient Flows
Enrico Crovini
S. Cotter
K. Zygalakis
Andrew B. Duncan
18
3
0
10 Sep 2022
Manifold Gaussian Processes for Regression
Manifold Gaussian Processes for Regression
Roberto Calandra
Jan Peters
C. Rasmussen
M. Deisenroth
96
271
0
24 Feb 2014
1