| Sep, 2025 | NeurIPS 2025: DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning has been accepted! We will also present our work towards understanding the effectiveness of test-time training in foundation models with an oral presentation at the CCFM workshop. |
| 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. |