ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.06846
  4. Cited By
A unified framework for closed-form nonparametric regression,
  classification, preference and mixed problems with Skew Gaussian Processes
v1v2 (latest)

A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes

Machine-mediated learning (ML), 2020
12 December 2020
A. Benavoli
Dario Azzimonti
Dario Piga
ArXiv (abs)PDFHTML

Papers citing "A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes"

6 / 6 papers shown
The AI off-switch problem as a signalling game: bounded rationality and incomparability
The AI off-switch problem as a signalling game: bounded rationality and incomparabilityInternational Symposium on Imprecise Probabilities and Their Applications (ISIPTA), 2025
A. Benavoli
Alessandro Facchini
Marco Zaffalon
667
0
0
10 Feb 2025
Towards Practical Preferential Bayesian Optimization with Skew Gaussian
  Processes
Towards Practical Preferential Bayesian Optimization with Skew Gaussian ProcessesInternational Conference on Machine Learning (ICML), 2023
Shion Takeno
Masahiro Nomura
Masayuki Karasuyama
285
25
0
03 Feb 2023
Learning Choice Functions with Gaussian Processes
Learning Choice Functions with Gaussian ProcessesConference on Uncertainty in Artificial Intelligence (UAI), 2023
A. Benavoli
Dario Azzimonti
Dario Piga
176
7
0
01 Feb 2023
Bayesian conjugacy in probit, tobit, multinomial probit and extensions:
  A review and new results
Bayesian conjugacy in probit, tobit, multinomial probit and extensions: A review and new resultsJournal of the American Statistical Association (JASA), 2022
Niccolò Anceschi
A. Fasano
Daniele Durante
T. Rigon
367
25
0
16 Jun 2022
Choice functions based multi-objective Bayesian optimisation
Choice functions based multi-objective Bayesian optimisation
A. Benavoli
Dario Azzimonti
Dario Piga
218
2
0
15 Oct 2021
Bayesian Optimisation for Sequential Experimental Design with
  Applications in Additive Manufacturing
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing
Mimi Zhang
Andrew C. Parnell
D. Brabazon
A. Benavoli
307
13
0
27 Jul 2021
1
Page 1 of 1