Jeroen Berrevoets

Jeroen Berrevoets

University of Cambridge

H-index: 10

Europe-United Kingdom

About Jeroen Berrevoets

Jeroen Berrevoets, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Machine Learning, Causality.

His recent articles reflect a diverse array of research interests and contributions to the field:

DAGnosis: Localized Identification of Data Inconsistencies using Structures

ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference

Learning continuous-valued treatment effects through representation balancing

NOFLITE: Learning to Predict Individual Treatment Effect Distributions

Causal deep learning

Hydalearn: Highly dynamic task weighting for multitask learning with auxiliary tasks

AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems

Learning Representations without Compositional Assumptions

Jeroen Berrevoets Information

University

Position

___

Citations(all)

300

Citations(since 2020)

299

Cited By

20

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Jeroen Berrevoets Skills & Research Interests

Machine Learning

Causality

Top articles of Jeroen Berrevoets

DAGnosis: Localized Identification of Data Inconsistencies using Structures

arXiv preprint arXiv:2402.17599

2024/2/26

ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference

Jeroen Berrevoets
Jeroen Berrevoets

H-Index: 2

Mihaela Van Der Schaar
Mihaela Van Der Schaar

H-Index: 42

Learning continuous-valued treatment effects through representation balancing

arXiv preprint arXiv:2309.03731

2023/9/7

Jeroen Berrevoets
Jeroen Berrevoets

H-Index: 2

Wouter Verbeke
Wouter Verbeke

H-Index: 17

NOFLITE: Learning to Predict Individual Treatment Effect Distributions

Transactions on Machine Learning Research (TMLR)

2023/7/23

Jeroen Berrevoets
Jeroen Berrevoets

H-Index: 2

Wouter Verbeke
Wouter Verbeke

H-Index: 17

Causal deep learning

arXiv preprint arXiv:2303.02186

2023/3/3

Jeroen Berrevoets
Jeroen Berrevoets

H-Index: 2

Mihaela Van Der Schaar
Mihaela Van Der Schaar

H-Index: 42

Hydalearn: Highly dynamic task weighting for multitask learning with auxiliary tasks

Applied Intelligence

2023/3

AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems

2023

Learning Representations without Compositional Assumptions

2023/7/3

Jeroen Berrevoets
Jeroen Berrevoets

H-Index: 2

Mihaela Van Der Schaar
Mihaela Van Der Schaar

H-Index: 42

GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure

2023

Jeroen Berrevoets
Jeroen Berrevoets

H-Index: 2

Mihaela Van Der Schaar
Mihaela Van Der Schaar

H-Index: 42

Differentiable and Transportable Structure Learning

2023/7/3

To Impute or not to Impute? Missing Data in Treatment Effect Estimation

2023/4/11

Navigating causal deep learning

arXiv preprint arXiv:2212.00911

2022/12/1

Jeroen Berrevoets
Jeroen Berrevoets

H-Index: 2

Mihaela Van Der Schaar
Mihaela Van Der Schaar

H-Index: 42

Simulating Environments for Evaluating Scarce Resource Allocation Policies

2022/9/29

Treatment effect optimisation in dynamic environments

Journal of Causal Inference

2022/5/31

Jeroen Berrevoets
Jeroen Berrevoets

H-Index: 2

Wouter Verbeke
Wouter Verbeke

H-Index: 17

Combining observational and randomized data for estimating heterogeneous treatment effects

arXiv preprint arXiv:2202.12891

2022/2/25

Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects

International Conference on Artificial Intelligence and Statistics (AISTATS)

2021/8/6

Disentangled counterfactual recurrent networks for treatment effect inference over time

arXiv preprint arXiv:2112.03811

2021/12/7

DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks

Advances in Neural Information Processing Systems (NeurIPS)

2021/12/6

Jeroen Berrevoets
Jeroen Berrevoets

H-Index: 2

Mihaela Van Der Schaar
Mihaela Van Der Schaar

H-Index: 42

Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis

2021/7/1

Why you should stop predicting customer churn and start using uplift models

Information Sciences

2019

See List of Professors in Jeroen Berrevoets University(University of Cambridge)

Co-Authors

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