Ricardo Silva

Ricardo Silva

University College London

H-index: 23

Europe-United Kingdom

About Ricardo Silva

Ricardo Silva, With an exceptional h-index of 23 and a recent h-index of 19 (since 2020), a distinguished researcher at University College London, specializes in the field of Machine learning, latent variable models, causality.

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

Counterfactual Fairness Is Not Demographic Parity, and Other Observations

Bounding Causal Effects with Leaky Instruments

Pragmatic fairness: Developing policies with outcome disparity control

Seconder of the vote of thanks to Evans & Didelez and contribution to the Discussion of ‘Parameterizing and Simulating from Causal Models’

Intervention Generalization: A View from Factor Graph Models

Inferring urban polycentricity from the variability in human mobility patterns

Spawrious: A benchmark for fine control of spurious correlation biases

Stochastic Causal Programming for Bounding Treatment Effects

Ricardo Silva Information

University

Position

Professor of Statistical Machine Learning and Data Science Department of Statistical Science

Citations(all)

3945

Citations(since 2020)

3157

Cited By

1751

hIndex(all)

23

hIndex(since 2020)

19

i10Index(all)

44

i10Index(since 2020)

28

Email

University Profile Page

University College London

Google Scholar

View Google Scholar Profile

Ricardo Silva Skills & Research Interests

Machine learning

latent variable models

causality

Top articles of Ricardo Silva

Title

Journal

Author(s)

Publication Date

Counterfactual Fairness Is Not Demographic Parity, and Other Observations

arXiv preprint arXiv:2402.02663

Ricardo Silva

2024/2/5

Bounding Causal Effects with Leaky Instruments

arXiv preprint arXiv:2404.04446

David S Watson

Jordan Penn

Lee M Gunderson

Gecia Bravo-Hermsdorff

Afsaneh Mastouri

...

2024/4/5

Pragmatic fairness: Developing policies with outcome disparity control

Limor Gultchin

Siyuan Guo

Alan Malek

Silvia Chiappa

Ricardo Silva

2024/3/15

Seconder of the vote of thanks to Evans & Didelez and contribution to the Discussion of ‘Parameterizing and Simulating from Causal Models’

Journal of the Royal Statistical Society Series B: Statistical Methodology

Ricardo Silva

2024/2/16

Intervention Generalization: A View from Factor Graph Models

Advances in Neural Information Processing Systems

Gecia Bravo-Hermsdorff

David Watson

Jialin Yu

Jakob Zeitler

Ricardo Silva

2024/2/13

Inferring urban polycentricity from the variability in human mobility patterns

Scientific reports

Carmen Cabrera-Arnau

Chen Zhong

Michael Batty

Ricardo Silva

Soong Moon Kang

2023/4/7

Spawrious: A benchmark for fine control of spurious correlation biases

arXiv preprint arXiv:2303.05470

Aengus Lynch

Gbètondji JS Dovonon

Jean Kaddour

Ricardo Silva

2023/3/9

Stochastic Causal Programming for Bounding Treatment Effects

Kirtan Padh

Jakob Zeitler

David Watson

Matt Kusner

Ricardo Silva

...

2023/8/10

Causal discovery under a confounder blanket

The 38th Conference on Uncertainty in Artificial Intelligence

David Watson

Ricardo Silva

2022/5/11

Graph and tensor-train recurrent neural networks for high-dimensional models of limit order books

Jacobo Roa-Vicens

Yao Lei Xu

Ricardo Silva

Danilo P Mandic

2022/11/2

The Causal Marginal Polytope for Bounding Treatment Effects

arXiv preprint arXiv:2202.13851

Jakob Zeitler

Ricardo Silva

2022/2/28

Partial identification without distributional assumptions

Kirtan Padh

Jakob Zeitler

David Watson

Matt Kusner

Ricardo Silva

...

2022/10/21

When Do Flat Minima Optimizers Work?

Jean Kaddour

Linqing Liu

Ricardo Silva

Matt Kusner

2022

Evaluating the impact of geometric and statistical skews on out-of-distribution generalization performance

Aengus Lynch

Jean Kaddour

Ricardo Silva

2022/10/21

Causal inference with treatment measurement error: a nonparametric instrumental variable approach

Yuchen Zhu

Limor Gultchin

Arthur Gretton

Matt J Kusner

Ricardo Silva

2022/8/17

Causal machine learning: A survey and open problems

arXiv preprint arXiv:2206.15475

Jean Kaddour

Aengus Lynch

Qi Liu

Matt J Kusner

Ricardo Silva

2022/6/30

Causal Effect Inference for Structured Treatments

Advances in Neural Information Processing Systems

Jean Kaddour

Yuchen Zhu

Qi Liu

Matt J Kusner

Ricardo Silva

2021/12/6

Proximal causal learning with kernels: Two-stage estimation and moment restriction

Afsaneh Mastouri

Yuchen Zhu

Limor Gultchin

Anna Korba

Ricardo Silva

...

2021/5/10

Two-way sparsity for time-varying networks, with applications in genomics

Annals of Applied Statistics

Thomas E Bartlett

Ioannis Kosmidis

Ricardo Silva

2021/2/22

A Bayesian approach for determining player abilities in football

Journal of the Royal Statistical Society Series C: Applied Statistics

Gavin A Whitaker

Ricardo Silva

Daniel Edwards

Ioannis Kosmidis

2021/1

See List of Professors in Ricardo Silva University(University College London)