Robert C. Williamson

Robert C. Williamson

Eberhard Karls Universität Tübingen

H-index: 55

Europe-Germany

About Robert C. Williamson

Robert C. Williamson, With an exceptional h-index of 55 and a recent h-index of 31 (since 2020), a distinguished researcher at Eberhard Karls Universität Tübingen, specializes in the field of machine learning, learning theory, imprecise probability, risk measures.

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

Geometry and Stability of Supervised Learning Problems

Strictly frequentist imprecise probability

Four Facets of Forecast Felicity: Calibration, Predictiveness, Randomness and Regret

Information processing equalities and the information–risk bridge

Data Models With Two Manifestations of Imprecision

On the richness of calibration

Towards a strictly frequentist theory of imprecise probability

The geometry of mixability

Robert C. Williamson Information

University

Position

___

Citations(all)

28092

Citations(since 2020)

10102

Cited By

22114

hIndex(all)

55

hIndex(since 2020)

31

i10Index(all)

127

i10Index(since 2020)

59

Email

University Profile Page

Eberhard Karls Universität Tübingen

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Robert C. Williamson Skills & Research Interests

machine learning

learning theory

imprecise probability

risk measures

Top articles of Robert C. Williamson

Title

Journal

Author(s)

Publication Date

Geometry and Stability of Supervised Learning Problems

arXiv preprint arXiv:2403.01660

Facundo Mémoli

Brantley Vose

Robert C Williamson

2024/3/4

Strictly frequentist imprecise probability

International Journal of Approximate Reasoning

Christian Fröhlich

Rabanus Derr

Robert C Williamson

2024/2/21

Four Facets of Forecast Felicity: Calibration, Predictiveness, Randomness and Regret

arXiv preprint arXiv:2401.14483

Rabanus Derr

Robert C Williamson

2024/1/25

Information processing equalities and the information–risk bridge

Journal of Machine Learning Research

Robert C Williamson

Zac Cranko

2024

Data Models With Two Manifestations of Imprecision

arXiv preprint arXiv:2404.09741

Christian Fröhlich

Robert C Williamson

2024/4/15

On the richness of calibration

Benedikt Höltgen

Robert C Williamson

2023/6/12

Towards a strictly frequentist theory of imprecise probability

Proceedings of Machine Learning Research

Robert C Williamson

Rabanus Derr

Christian Fröhlich

2023/7/18

The geometry of mixability

arXiv preprint arXiv:2302.11905

Armando J Cabrera Pacheco

Robert C Williamson

2023/2/23

A General Framework for Learning under Corruption: Label Noise, Attribute Noise, and Beyond

arXiv preprint arXiv:2307.08643

Laura Iacovissi

Nan Lu

Robert C Williamson

2023/7/17

The geometry and calculus of losses

Journal of Machine Learning Research

Robert C Williamson

Zac Cranko

2023

The set structure of precision

Rabanus Derr

Robert C Williamson

2023/7/10

Random classification noise does not defeat all convex potential boosters irrespective of model choice

Yishay Mansour

Richard Nock

Robert Williamson

2023/7/3

Insights From Insurance for Fair Machine Learning: Responsibility, Performativity and Aggregates

arXiv preprint arXiv:2306.14624

Christian Fröhlich

Robert C Williamson

2023/6/26

Systems of precision: Coherent probabilities on pre-Dynkin systems and coherent previsions on linear subspaces

Entropy

Rabanus Derr

Robert C Williamson

2023/8/31

What killed the Convex Booster?

arXiv preprint arXiv:2205.09628

Yishay Mansour

Richard Nock

Robert C Williamson

2022/5/19

Assessing AI fairness in finance

Computer

Lachlan McCalman

Daniel Steinberg

Grace Abuhamad

Marc-Etienne Brunet

Robert C Williamson

...

2022/1/13

Tailoring to the tails: Risk measures for fine-grained tail sensitivity

arXiv preprint arXiv:2208.03066

Christian Fröhlich

Robert C Williamson

2022/8/5

Fairness and randomness in machine learning: Statistical independence and relativization

arXiv preprint arXiv:2207.13596

Rabanus Derr

Robert C Williamson

2022/7/27

Risk measures and upper probabilities: Coherence and stratification

arXiv preprint arXiv:2206.03183

Christian Fröhlich

Robert C Williamson

2022/6/7

The AI of Ethics

Robert C Williamson

2021/8/24

See List of Professors in Robert C. Williamson University(Eberhard Karls Universität Tübingen)

Co-Authors

H-index: 156
Klaus-Robert Müller

Klaus-Robert Müller

Technische Universität Berlin

H-index: 116
Brian Anderson

Brian Anderson

Australian National University

H-index: 84
John Shawe-Taylor

John Shawe-Taylor

University College London

H-index: 83
Peter Bartlett

Peter Bartlett

University of California, Berkeley

H-index: 60
Wee Sun Lee

Wee Sun Lee

National University of Singapore

H-index: 48
Rodney A. Kennedy

Rodney A. Kennedy

Australian National University

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