Matthias Grossglauser

Matthias Grossglauser

École Polytechnique Fédérale de Lausanne

H-index: 46

Europe-Switzerland

About Matthias Grossglauser

Matthias Grossglauser, With an exceptional h-index of 46 and a recent h-index of 23 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of network science, machine learning, data analytics.

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

It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons

Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models

Studying Lobby Influence in the European Parliament

It's All Relative: Interpretable Models for Scoring Bias in Documents

Fast Interactive Search with a Scale-Free Comparison Oracle

When Does Bottom-up Beat Top-down in Hierarchical Community Detection?

Mining Effective Strategies for Climate Change Communication

Efficiently Escaping Saddle Points for Non-Convex Policy Optimization

Matthias Grossglauser Information

University

Position

___

Citations(all)

13193

Citations(since 2020)

2126

Cited By

11895

hIndex(all)

46

hIndex(since 2020)

23

i10Index(all)

75

i10Index(since 2020)

38

Email

University Profile Page

École Polytechnique Fédérale de Lausanne

Google Scholar

View Google Scholar Profile

Matthias Grossglauser Skills & Research Interests

network science

machine learning

data analytics

Top articles of Matthias Grossglauser

Title

Journal

Author(s)

Publication Date

It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons

Aswin Suresh

Wu Hsuan

Matthias Grossglauser

2024/3

Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models

arXiv preprint arXiv:2402.15432

Maximilien Dreveton

Alperen Gözeten

Matthias Grossglauser

Patrick Thiran

2024/2/23

Studying Lobby Influence in the European Parliament

arXiv preprint arXiv:2309.11381

Aswin Suresh

Lazar Radojevic

Francesco Salvi

Antoine Magron

Victor Kristof

...

2023/9/20

It's All Relative: Interpretable Models for Scoring Bias in Documents

arXiv preprint arXiv:2307.08139

Aswin Suresh

Chi-Hsuan Wu

Matthias Grossglauser

2023/7/16

Fast Interactive Search with a Scale-Free Comparison Oracle

arXiv preprint arXiv:2306.01814

Daniyar Chumbalov

Lars Klein

Lucas Maystre

Matthias Grossglauser

2023/6/2

When Does Bottom-up Beat Top-down in Hierarchical Community Detection?

arXiv preprint arXiv:2306.00833

Maximilien Dreveton

Daichi Kuroda

Matthias Grossglauser

Patrick Thiran

2023/6/1

Mining Effective Strategies for Climate Change Communication

Aswin Suresh

Lazar Milikic

Francis Murray

Yurui Zhu

Matthias Grossglauser

2023/5/4

Efficiently Escaping Saddle Points for Non-Convex Policy Optimization

arXiv preprint arXiv:2311.08914

Sadegh Khorasani

Saber Salehkaleybar

Negar Kiyavash

Niao He

Matthias Grossglauser

2023/11/15

Cumulants of hawkes processes are robust to observation noise

William Trouleau

Jalal Etesami

Matthias Grossglauser

Negar Kiyavash

Patrick Thiran

2021/7/1

War of words II: Enriched models of law-making processes

Victor Kristof

Aswin Suresh

Matthias Grossglauser

Patrick Thiran

2021/4/19

A variational inference approach to learning multivariate wold processes

Jalal Etesami

William Trouleau

Negar Kiyavash

Matthias Grossglauser

Patrick Thiran

2021/3/18

War of words: The competitive dynamics of legislative processes

Victor Kristof

Matthias Grossglauser

Patrick Thiran

2020/4/20

Scalable and efficient comparison-based search without features

Daniyar Chumbalov

Lucas Maystre

Matthias Grossglauser

2020/11/21

Sub-matrix factorization for real-time vote prediction

Alexander Immer

Victor Kristof

Matthias Grossglauser

Patrick Thiran

2020/8/23

Self-supervised prototypical transfer learning for few-shot classification

ICML 2020 Workshop on Automated Machine Learning (AutoML)

Carlos Medina*

Arnout Devos*

Matthias Grossglauser

2020/6/19

See List of Professors in Matthias Grossglauser University(École Polytechnique Fédérale de Lausanne)

Co-Authors

H-index: 118
martin vetterli

martin vetterli

École Polytechnique Fédérale de Lausanne

H-index: 117
Jennifer Rexford

Jennifer Rexford

Princeton University

H-index: 97
Jean-Pierre Hubaux

Jean-Pierre Hubaux

École Polytechnique Fédérale de Lausanne

H-index: 92
David Tse

David Tse

Stanford University

H-index: 86
K. K. Ramakrishnan

K. K. Ramakrishnan

University of California, Riverside

H-index: 63
Srinivasan Keshav

Srinivasan Keshav

University of Cambridge

academic-engine