Nov 2024: I have been awarded with Google India Research Award, 2024. Thanks Google!
Oct 2024: I have joined Indian Institute of Science (IISc) as an Assistant Professor in the Department of Computer Science and Automation (CSA) in Fall 2024.
Sep 2024: Our Paper on policy gradient got accepted to Neurips 2024. Preprint coming soon!
Jun 2024: I am joining Indian Institute of Science (IISc) as an Assistant Professor in the Department of Computer Science and Automation (CSA) in Fall 2024.
May 2024: Our Paper on practical policy gradient got accepted at Reinforcement Learning Conference (RLC), 2024. Please check the publication page for preprint.
May 2024: Our paper on inverse optimization got accepted at ICML 2024. Please check the publication page for preprint.
May 2024: I am back at SIERRA Research Team at Inria, Paris.
Apr 2024: Attended Heavy-Tails in Machine Learning Research Program at Alan Turing Institute, London.
Feb 2024: Gave a talk at KAUST Rising Stars in AI Symposium 2024 , hosted by the AI Initiative at KAUST.
Jan 2024: Our paper on Learning with Abstention got accepted at TMLR 2024. Check it out.
Nov 2023: Gave a talk at IMS Young Mathematical Scientist Forum — Statistics and Data Science on stability of heavy-tailed SGD.
Sep 2023: Our papers on Wasserstein stability bound for SGD and sampling using PSD model have been accepted to Neurips 2023.
Jul 2023: Presented our work on stability bound for heavy-tailed SGD at ICML 2023 in Hawaii, USA.
Jul 2023: Presented our work on sampling at COLT 2023 in Bangalore, India.
Jul 2023: Visited Indian Institute of Science, Bangalore, India.
Jun 2023: Our paper on variational principle for mirror descent and mirror Langevin has been accepted to IEEE control system letters and CDC 2023.
Jun 2023: New preprint on Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent is available now. Check it out.
Mar 2023: New preprint on sampling from SDEs using PSD model is out. Check it out.
Mar 2023: New preprint on Variational Principle of Mirror Descent and Mirror-Langevin is available now. Check it out.
Feb 2023: New preprint on Stochastic Gradient based Sampling is available now. Check it out.
Jan 2023: New preprint on algorithmic stability for heavy tailed SGD for general loss functions is available now. Check it out.
Jan 2023: Our paper on explicit regularisation via noise injection has been accepted to AISTATS 2023.
Dec 2022: Our paper on algorithmic stability for heavy-tailed SGD has been accepted to ALT, 2023.
Aug 2022: Our paper on causal feature selection has been accepted to TMLR, 2022.
Jul 2022: Presented our work on active learning at ICML, 2022.
Jul 2022: Visited Google Research, India and Indian Institute of Science, Banglore.
Jun 2022: New preprint on explicit regularization via noise injection is available now. Check it out.
Jun 2022: New preprint on algorithmic stability for heavy tailed continuous time SGD is available now. Check it out.
May 2022: Our paper on active learning has been accepted to ICML, 2022. Check out the preprint here.
Apr 2022: Presented our paper on faster rates for linear compositional optimization at AISTATS, 2022. Check out the paper.
Mar 2022: Have started at University of Illinois, Urbana-Champaign.
Jan 2022: Gave a talk on our work on faster rates for linear compositional optimization at IST, Austria (virtual).
Jan 2022: Our paper on faster rates for linear compositional optimization has been accepted at AISTATS 2022 for oral presentation. Check out the paper.