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 Fine-Tuning in Modern ML 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 Aligning RL Experimentalists and Theorists workshop. |
Mar, 2024 | ICLR 2024: Our work on Active Few-Shot Fine-Tuning was accepted at the Bridging the Gap Between Practice and Theory in Deep Learning 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. |