28.04.2023
MCML at ICLR 2023
Three Accepted Papers
11th International Conference on Learning Representations, Kigali, Rwanda, May 01-05, 2023
We are happy to announce that MCML researchers have contributed a total of 3 papers to ICLR 2023. Congrats to our researchers!
Main Track (3 papers)
D. Frauen • S. Feuerriegel
Estimating individual treatment effects under unobserved confounding using binary instruments.
ICLR 2023 - 11th International Conference on Learning Representations. Kigali, Rwanda, May 01-05, 2023. URL
Estimating individual treatment effects under unobserved confounding using binary instruments.
ICLR 2023 - 11th International Conference on Learning Representations. Kigali, Rwanda, May 01-05, 2023. URL
R. Paolino • A. Bojchevski • S. Günnemann • G. Kutyniok • R. Levie
Unveiling the Sampling Density in Non-Uniform Geometric Graphs.
ICLR 2023 - 11th International Conference on Learning Representations. Kigali, Rwanda, May 01-05, 2023. URL
Unveiling the Sampling Density in Non-Uniform Geometric Graphs.
ICLR 2023 - 11th International Conference on Learning Representations. Kigali, Rwanda, May 01-05, 2023. URL
T. Pielok • B. Bischl • D. Rügamer
Approximate Bayesian Inference with Stein Functional Variational Gradient Descent.
ICLR 2023 - 11th International Conference on Learning Representations. Kigali, Rwanda, May 01-05, 2023. URL
Approximate Bayesian Inference with Stein Functional Variational Gradient Descent.
ICLR 2023 - 11th International Conference on Learning Representations. Kigali, Rwanda, May 01-05, 2023. URL
Related
01.05.2026
MCML at AISTATS 2026
MCML researchers are represented with 8 papers at AISTATS 2026 (7 Main, and 1 Workshop).
28.04.2026
Björn Ommer: How AI Can Transform Society if We Use It Responsibly
MCML PI Björn Ommer explains the philosophy behind Stable Diffusion and why his team focuses on efficiency.
23.04.2026
Teaching NLP in the LLM Era: Workshop TeachNLP 2026
MCML member Matthias Aßenmacher co-organized TeachNLP 2026, a workshop on designing NLP courses in the era of generative AI and LLMs.
