Registration Link:
https://cbs.nemtilmeld.dk/709/
Description:
We welcome you to the “3rd NeEDS Workshop On the Latest Advances in Machine Learning to Deal with Complex Data”. This workshop will take place at Copenhagen Business School on May 17, 14:00 to 18:00, and it will consist of a number of presentations from different disciplines, including computer science, engineering, mathematics and statistics, working on Machine Learning to aid Data Driven Decision Making. Looking forward to meeting you at this Data Science event.
Date and time:
May 17, 2023, 14:00 to 18:00
Location:
CBS Råvarebygningen,
Porcelænshaven 22, Auditorium PHRs20
2000 Frederiksberg
Organizers:
Jimmy Martinez-Correa, jima.eco@cbs.dk
Dolores Romero Morales, drm.eco@cbs.dk
Program:
14.00-14.15: Welcome
14.15-14.55: Paul Hünermund, Copenhagen Business School
Causal Inference and Data Fusion in Econometrics
14.55-15.20: Margot Geerts, Katholieke Universiteit Leuven
Geospatial Tree-based Models for House Price Prediction
15.20-15.45: Kseniia Kurishchenko, Copenhagen Business School
On Fair Random Forests
15.45-16.10: Samuel Chevalier, Technical University of Denmark
Global Performance Guarantees for Neural Network Models of AC Power
16.10-16.30: Coffee Break
16.30-17.10: Munir Hiabu, University of Copenhagen
On Functional Decompositions, Post-hoc Machine Learning Interpretations and De-biasing
17.10-17.35: Martin Magris, Aarhus University
Variational Inference for Econometric Modelling: Gaining a Predictive Edge on the Markets
17.35-18.00: Eléa Prat, Technical University of Denmark
Solving Bilevel Problems with Machine Learning – Application to Strategic Bidding