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DSSV – ECDA 2023
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Invited Sessions

Invited Sessions

Andreas Alfons
Erasmus University Rotterdam

Psychometrics and Machine learning

Viktor Bengs
LMU Munich

Probabilistic predictions and forecasting

Ying Chen
National University of Singapore

Simon Trimborn

University of Amsterdam

Converging Machine Learning and Network Analysis

Giuseppe Giordano

University of Salerno

Complex Data Structures in Social Network Analysis

Patrick Groenen

Erasmus University Rotterdam

Stefan Van Aelst

KU Leuven

TBA

Eyke Hüllermeier
University of Paderborn

Timo Kaufmann

LMU Munich

Reinforcement Learning from Human Feedback

Alfonso Iodice D'Enza

University of Naples Federico II

Unsupervised learning for mixed data

Johannes Lederer

Ruhr-University Bochum

New Statistical Approaches in Economics and the Natural Sciences

Sheng-Hsuan Lin

National Yang Ming Chiao Tung University

Prediction and Causality in Biomedical Research

Sugnet Lubbe

Stellenbosch University

Niël le Roux

Stellenbosch University

Multidimensional Data Visualization

Friederike Paetz

Clausthal University of Technology

Choice-Based Analytics

Michel van de Velden

Erasmus University Rotterdam

TBA

Wouter Verbeke

KU Leuven

Advances in Causal Machine Learning

Ines Wilms

University of Maastricht

Statistical Learning and Data Science

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