Alexander Hägele
4 papers · 2023–2026 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓
🧭
Keyword Pioneer
🌍
Conference Polyglot
(3)
🐝
Cross-Pollinator
(10)
🌉
Interdisciplinary Bridge
Conferences
ACL (1)
AISTATS (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
neural network training
(1)
variational inference
(1)
bayesian inference
(1)
causal discovery
(1)
gradient-based optimization
(1)
learning rate
(1)
model training
(1)
scaling law
(1)
stochastic weight averaging
(1)
model scaling
(1)
compute efficiency
(1)
learning rate schedule
(1)
intervention target
(1)
multilingual language model
(1)
training schedule
(1)
large language model
(1)
responsible artificial intelligence
(1)
compute optimization
(1)
data compliance
(1)
goldfish objective
(1)
Papers
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
ACL 2026
The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training
ICML 2025
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations
NIPS 2024
BaCaDI: Bayesian Causal Discovery with Unknown Interventions
AISTATS 2023