Alexander Hägele

12 papers A* 3A 1Journal 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Hot Mess of AI: How Does Misalignment Scale With Model Intelligence and Task Complexity? CoRR Alexander Hägele, Aryo Pradipta Gema, Henry Sleight, Ethan Perez, Jascha Sohl-Dickstein
2025	J	`jnl`	Inverse Scaling in Test-Time Compute. CoRR 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
2025	J	`jnl`	Inverse Scaling in Test-Time Compute. Trans. Mach. Learn. Res. 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
2025	A*	`conf`	The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training. ICML Fabian Schaipp, Alexander Hägele, Adrien B. Taylor, Umut Simsekli, Francis Bach
2025	J	`jnl`	The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training. CoRR Fabian Schaipp, Alexander Hägele, Adrien B. Taylor, Umut Simsekli, Francis R. Bach
2025	J	`jnl`	Training Dynamics of the Cooldown Stage in Warmup-Stable-Decay Learning Rate Scheduler. CoRR Aleksandr Dremov, Alexander Hägele, Atli Kosson, Martin Jaggi
2025	J	`jnl`	Training Dynamics of the Cooldown Stage in Warmup-Stable-Decay Learning Rate Scheduler. Trans. Mach. Learn. Res. Aleksandr Dremov, Alexander Hägele, Atli Kosson, Martin Jaggi
2024	A*	`conf`	Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations. NeurIPS Alexander Hägele, Elie Bakouch, Atli Kosson, Loubna Ben Allal, Leandro von Werra, Martin Jaggi
2024	J	`jnl`	Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations. CoRR Alexander Hägele, Elie Bakouch, Atli Kosson, Loubna Ben Allal, Leandro von Werra, Martin Jaggi
2023	A	`conf`	BaCaDI: Bayesian Causal Discovery with Unknown Interventions. AISTATS Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause
2022	J	`jnl`	BaCaDI: Bayesian Causal Discovery with Unknown Interventions. CoRR Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause
2021	A*	`conf`	Robustness certification with generative models. PLDI Matthew Mirman, Alexander Hägele, Pavol Bielik, Timon Gehr, Martin T. Vechev