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Multi-task Causal Learning with Gaussian Processes

Multi-task Causal Learning with Gaussian Processes

Neural Information Processing Systems (NeurIPS), 2020
27 September 2020
Virginia Aglietti
Theodoros Damoulas
Mauricio A. Alvarez
Javier I. González
    CML
ArXiv (abs)PDFHTML

Papers citing "Multi-task Causal Learning with Gaussian Processes"

13 / 13 papers shown
Online Identification of IT Systems through Active Causal Learning
Online Identification of IT Systems through Active Causal Learning
K. Hammar
Rolf Stadler
CML
267
1
0
02 Sep 2025
Idiographic Personality Gaussian Process for Psychological Assessment
Idiographic Personality Gaussian Process for Psychological Assessment
Yehu Chen
Muchen Xi
Jacob Montgomery
Joshua Jackson
Roman Garnett
119
0
0
06 Jul 2024
Causally Abstracted Multi-armed Bandits
Causally Abstracted Multi-armed Bandits
Fabio Massimo Zennaro
Nicholas Bishop
Joel Dyer
Yorgos Felekis
Anisoara Calinescu
Michael Wooldridge
Theodoros Damoulas
407
6
0
26 Apr 2024
Improve in-situ life prediction and classification performance by
  capturing both the present state and evolution rate of battery aging
Improve in-situ life prediction and classification performance by capturing both the present state and evolution rate of battery aging
Mingde Zhao
Yongzhi Zhang
251
0
0
27 Aug 2023
Contextual Causal Bayesian Optimisation
Contextual Causal Bayesian Optimisation
Vahan Arsenyan
Antoine Grosnit
Haitham Bou-Ammar
Arnak Dalalyan
CML
378
3
0
29 Jan 2023
An Adaptive Kernel Approach to Federated Learning of Heterogeneous
  Causal Effects
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal EffectsNeural Information Processing Systems (NeurIPS), 2023
Thanh Vinh Vo
Arnab Bhattacharyya
Young Lee
Tze-Yun Leong
FedML
327
26
0
01 Jan 2023
Model-based Causal Bayesian Optimization
Model-based Causal Bayesian OptimizationInternational Conference on Learning Representations (ICLR), 2022
Scott Sussex
A. Makarova
Andreas Krause
CML
273
32
0
18 Nov 2022
Inference on Causal Effects of Interventions in Time using Gaussian
  Processes
Inference on Causal Effects of Interventions in Time using Gaussian Processes
G. Giudice
S. Geneletti
K. Kalogeropoulos
90
1
0
06 Oct 2022
Transfer Learning for Individual Treatment Effect Estimation
Transfer Learning for Individual Treatment Effect EstimationConference on Uncertainty in Artificial Intelligence (UAI), 2022
Ahmed Aloui
Juncheng Dong
Cat P. Le
Vahid Tarokh
CML
526
5
0
01 Oct 2022
Causal Machine Learning for Healthcare and Precision Medicine
Causal Machine Learning for Healthcare and Precision MedicineRoyal Society Open Science (RSOS), 2022
Pedro Sanchez
J. Voisey
Tian Xia
Hannah I. Watson
Alison Q. OÑeil
Sotirios A. Tsaftaris
OODCML
367
198
0
23 May 2022
Dynamic Causal Bayesian Optimization
Dynamic Causal Bayesian Optimization
Virginia Aglietti
Neil Dhir
Javier I. González
Theodoros Damoulas
162
35
0
26 Oct 2021
BayesIMP: Uncertainty Quantification for Causal Data Fusion
BayesIMP: Uncertainty Quantification for Causal Data FusionNeural Information Processing Systems (NeurIPS), 2021
Siu Lun Chau
Jean-François Ton
Javier I. González
Yee Whye Teh
Dino Sejdinovic
CML
275
22
0
07 Jun 2021
Adaptive Multi-Source Causal Inference
Adaptive Multi-Source Causal Inference
Thanh Vinh Vo
Pengfei Wei
T. Hoang
Tze-Yun Leong
253
1
0
31 May 2021
1
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