TCS researcher. PhD 25’ @PurdueCS, MS 20’ BS 19’ @CSDatCMU. Research in theory, both classical and machine learning, from a data-dependent perspective.
Our paper, “Learning-Augmented Algorithms for Online Concave Packing and Convex Covering Problems”, has been accepted into AISTATS 2025.
arxiv.org/abs/2411.08332
Our paper, "All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance" has been selected for an oral presentation at #ICML2025! While I will not be visiting Vancouver, please drop by session 5E to attend my colleagues' talk!
Visiting New Orleans to attend #NeurIPS2023 on Dec 13 & 14.
Our paper 'Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond 1+a Moments' will be in poster session 5 at 10:45 - 12:45 on Dec 14.
Will be my first conference as a presenter. Very nice.
Our paper, 'Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond 1+α Moments' (phew!) was accepted into #NeurIPS2023, and we've just published it on arXiv. Very proud of this one - go take a look!
