Alexander Hägele

According to our database, Alexander Hägele authored at least 5 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Inverse Scaling in Test-Time Compute.

Aryo Pradipta Gema, Alexander Hägele, Runjin Chen, Andy Arditi, Jacob Goldman-Wetzler, Kit Fraser-Taliente, Henry Sleight, Linda Petrini, Julian Michael, Beatrice Alex, Pasquale Minervini, Yanda Chen, Joe Benton, Ethan Perez

CoRR, July, 2025

The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training.

Fabian Schaipp, Alexander Hägele, Adrien B. Taylor, Umut Simsekli, Francis R. Bach

CoRR, January, 2025

2024

Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations.

Alexander Hägele, Elie Bakouch, Atli Kosson, Loubna Ben Allal, Leandro von Werra, Martin Jaggi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

BaCaDI: Bayesian Causal Discovery with Unknown Interventions.

Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Robustness certification with generative models.

Matthew Mirman, Alexander Hägele, Pavol Bielik, Timon Gehr, Martin T. Vechev

Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021