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3rd NeEDS Workshop On the Latest Advances in Machine Learning to Deal with Complex Data

Date and time

Wednesday 17. May 2023 at 14:00 to 18:00

Registration Deadline

Tuesday 16. May 2023 at 11:00

Location

CBS, Råvarebygningen, PHRs20, Porcelænshaven 22, 2000 Frederiksberg CBS, Råvarebygningen, PHRs20
Porcelænshaven 22
2000 Frederiksberg

3rd NeEDS Workshop On the Latest Advances in Machine Learning to Deal with Complex Data

Event 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, and it will consist of a number of presentations from PhD students and Postdoctoral Researchers from different disciplines, including computer science, engineering, mathematics and statistics, working on Machine Learning to aid Data Driven Decision Making. The title of the talks can be found here below. Looking forward to meeting you at this Data Science event.

Programme:

14.00-14.15: Welcome

 

14.15-14.55: Paul Hünermund, Copenhagen Business School
Title: Causal Inference and Data Fusion in Econometrics

 

14.55-15.20: Margot Geerts, Katholieke Universiteit Leuven
Title: Geospatial Tree-based Models for House Price Prediction 

 

15.20-15.45: Kseniia Kurishchenko, Copenhagen Business School
Title: On Fair Random Forests 

 

15.45-16.10: Samuel Chevalier, Technical University of Denmark
Title: 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
Title: On Functional Decompositions, Post-hoc Machine Learning Interpretations and De-biasing 

 

17.10-17.35: Martin Magris, Aarhus University
Title: Variational Inference for Econometric Modelling: Gaining a Predictive Edge on the Markets 

 

17.35-18.00: Eléa Prat, Technical University of Denmark
Title: Solving Bilevel Problems with Machine Learning - Application to Strategic Bidding in Energy Markets

Event Location

Click to view the event location on Google Maps >

Organizer Contact Information

Dolores Romero Morales
Phone: +45 38153823
drm.eco@cbs.dk

Organizer Contact Information

Dolores Romero Morales
Phone: +45 38153823
drm.eco@cbs.dk