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. 2411.03263
  4. Cited By
Proxy-informed Bayesian transfer learning with unknown sources

Proxy-informed Bayesian transfer learning with unknown sources

5 November 2024
Sabina J. Sloman
Julien Martinelli
Samuel Kaski
ArXivPDFHTML

Papers citing "Proxy-informed Bayesian transfer learning with unknown sources"

15 / 15 papers shown
Title
Epistemic Errors of Imperfect Multitask Learners When Distributions Shift
Epistemic Errors of Imperfect Multitask Learners When Distributions Shift
Sabina J. Sloman
Michele Caprio
Samuel Kaski
28
0
0
29 May 2025
Proxy Methods for Domain Adaptation
Proxy Methods for Domain Adaptation
Katherine Tsai
Stephen Pfohl
Olawale Salaudeen
Nicole Chiou
Matt J. Kusner
Alexander DÁmour
Oluwasanmi Koyejo
Arthur Gretton
OOD
76
3
0
12 Mar 2024
Bayesian Active Learning in the Presence of Nuisance Parameters
Bayesian Active Learning in the Presence of Nuisance Parameters
Sabina J. Sloman
Ayush Bharti
Julien Martinelli
Samuel Kaski
48
4
0
23 Oct 2023
Robustifying likelihoods by optimistically re-weighting data
Robustifying likelihoods by optimistically re-weighting data
Miheer Dewaskar
Christopher Tosh
Jeremias Knoblauch
David B. Dunson
63
6
0
19 Mar 2023
Modern Bayesian Experimental Design
Modern Bayesian Experimental Design
Tom Rainforth
Adam Foster
Desi R. Ivanova
Freddie Bickford-Smith
64
86
0
28 Feb 2023
Adapting to Latent Subgroup Shifts via Concepts and Proxies
Adapting to Latent Subgroup Shifts via Concepts and Proxies
Ibrahim Alabdulmohsin
Nicole Chiou
Alexander DÁmour
Arthur Gretton
Sanmi Koyejo
Matt J. Kusner
Stephen Pfohl
Olawale Salaudeen
Jessica Schrouff
Katherine Tsai
99
10
0
21 Dec 2022
A Survey of Human-in-the-loop for Machine Learning
A Survey of Human-in-the-loop for Machine Learning
Xingjiao Wu
Luwei Xiao
Yixuan Sun
Junhang Zhang
Tianlong Ma
Liangbo He
SyDa
93
524
0
02 Aug 2021
A survey on domain adaptation theory: learning bounds and theoretical
  guarantees
A survey on domain adaptation theory: learning bounds and theoretical guarantees
I. Redko
Emilie Morvant
Amaury Habrard
M. Sebban
Younès Bennani
OOD
103
135
0
24 Apr 2020
Characterizing and Avoiding Negative Transfer
Characterizing and Avoiding Negative Transfer
Zirui Wang
Zihang Dai
Barnabás Póczós
J. Carbonell
85
415
0
24 Nov 2018
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
283
501
0
11 Jun 2018
Meta-Learning Probabilistic Inference For Prediction
Meta-Learning Probabilistic Inference For Prediction
Jonathan Gordon
J. Bronskill
Matthias Bauer
Sebastian Nowozin
Richard Turner
BDL
110
264
0
24 May 2018
Markov Chain Importance Sampling -- a highly efficient estimator for
  MCMC
Markov Chain Importance Sampling -- a highly efficient estimator for MCMC
Ingmar Schuster
I. Klebanov
57
24
0
18 May 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Erin Grant
Chelsea Finn
Sergey Levine
Trevor Darrell
Thomas Griffiths
BDL
83
509
0
26 Jan 2018
Learning to select data for transfer learning with Bayesian Optimization
Learning to select data for transfer learning with Bayesian Optimization
Sebastian Ruder
Barbara Plank
75
184
0
17 Jul 2017
Improving drug sensitivity predictions in precision medicine through
  active expert knowledge elicitation
Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation
Iiris Sundin
Tomi Peltola
M. M. Majumder
Pedram Daee
Marta Soare
Homayun Afrabandpey
C. Heckman
Samuel Kaski
Pekka Marttinen
41
24
0
09 May 2017
1