09.07.2021
MCML at GECCO 2021
Two Accepted Papers
Genetic and Evolutionary Computation Conference, Lile, France, Jul 10-14, 2021
We are happy to announce that MCML researchers have contributed a total of 2 papers to GECCO 2021. Congrats to our researchers!
Main Track (2 papers)
P. Gijsbers • F. Pfisterer • J. N. van Rijn • B. Bischl • J. Vanschoren
Meta-Learning for Symbolic Hyperparameter Defaults.
GECCO 2021 - Genetic and Evolutionary Computation Conference. Lile, France, Jul 10-14, 2021. DOI
Meta-Learning for Symbolic Hyperparameter Defaults.
GECCO 2021 - Genetic and Evolutionary Computation Conference. Lile, France, Jul 10-14, 2021. DOI
F. Pfisterer • J. N. van Rijn • P. Probst • A. C. Müller • B. Bischl
Learning Multiple Defaults for Machine Learning Algorithms.
GECCO 2021 - Genetic and Evolutionary Computation Conference. Lile, France, Jul 10-14, 2021. DOI
Learning Multiple Defaults for Machine Learning Algorithms.
GECCO 2021 - Genetic and Evolutionary Computation Conference. Lile, France, Jul 10-14, 2021. DOI
Related
09.04.2026
Nikita Araslanov Receives Prestigious Emmy Noether Grant
Nikita Araslanov, MCML Junior Member, awarded Emmy Noether Grant to establish an independent AI research group at TUM.
02.04.2026
How AI Avatars Shape Perceived Fairness
Accepted at CHI 2026, this study shows how the race and gender of AI interview avatars shape perceptions of fairness and bias in automated hiring.
31.03.2026
GRaM Competition @ ICLR 2026
GRaM Competition 2026 challenges participants to predict airflow dynamics using AI on 3D geometries. Deadline: April 22 (AoE).
