Announcements

Jul, 2025 COLM 2025: Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging has been accepted! We will also present our work on test-time scaling via prefix-confidence at the SCALR workshop.
May, 2025 ICML 2025: Active Fine-Tuning of Multi-Task Policies has been accepted! We will also present our work on test-time offline RL at the PUT workshop and our work on curricula for sparse-reward RL at the EXAIT workshop.
Feb, 2025 Very excited to share notes on Probabilistic AI that I have been writing with Andreas Krause!
Jan, 2025 ICLR 2025: Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs has been accepted!
Jan, 2025 AISTATS 2025: LITE: Efficiently Estimating Gaussian Probability of Maximality has been accepted!
Oct, 2024 NeurIPS 2024: Our work Transductive Active Learning: Theory and Applications was accepted! We will also present our work on efficiently learning at test-time with LLMs with an oral presentation at the FITML workshop.
Jun, 2024 ICML 2024: Our work on Transductive Active Learning with Application to Safe Bayesian Optimization was accepted as an oral presentation (top 5%) at the ARLET workshop.
Mar, 2024 ICLR 2024: Our work on Active Few-Shot Fine-Tuning was accepted at the BGPT workshop!
Feb, 2024 I received the ETH Medal for my Master’s thesis on transductive active learning 🎉! Big thanks to my incredible collaborators Bhavya Sukhija, Lenart Treven, Yarden As, and Andreas Krause.