| Jun 03, 2024 | I have started my internship at Microsoft Ads, working on ad monetization under my manager Ajith Moparthi and with my mentor Yannis Exarchos! Excited to dive into designing a low latency update algorithm for autobidding models. |
| Feb 06, 2024 | Announcing two paper acceptances! My paper on offline reinforcement learning in the presence of confounding, written with Kevin Tan, Yangyi Lu, Maggie Makar, Yixin Wang and my advisor Ambuj Tewari has been accepted to AISTATS 2024. My paper on double descent phenomena in denoising with Rishi Sonthalia and Kashvi Srivastava has been accepted to TMLR 2024. |
| Nov 29, 2023 | I have received the Rackham International Student Fellowship, which is offered to 25 students across graduate departments under Rackham! |
| Oct 29, 2023 | Our paper “Denoising Low-Rank Data Under Distribution Shift: Double Descent and Data Augmentation” has been accepted to the NeurIPS workshop on the Mathematics of Modern Machine Learning (M3L)! |
| Jun 15, 2023 | Two new preprints (confounded RL and double descent phenomena with input noise) added to arXiv! |
| Apr 29, 2023 | My paper on learning mixtures of Markov chains and MDPs with Kevin Tan and my advisor, Prof. Tewari, has been accepted to ICML 2023 (Oral)! |
| Apr 07, 2023 | Invited to attend the Princeton ML theory Summer School, 2023! |
| Aug 14, 2022 | My paper with Prof. Stefan Friedl and Jose Pedro Quintanilha on an algorithm for generalized Seifert matrices has been accepted by the Journal of Knot Theory and its Ramifications! |
| Aug 14, 2022 | Monsoon Math has unfortunately been cancelled for summer 2022. |
| Mar 05, 2022 | Monsoon Math is gearing up for 2022! Email me if you have ideas about making it more effective and impactful. |