News

[11/18/2023] Poster on Sparsity-aware generalization theory for deep neural networks at DEEPMATH'23 at JHU, Baltimore, MD

[07/12/2023] Poster on Sparsity-aware generalization theory for deep neural networks at COLT'23 at Bangalore, India

[06/14/2023] Poster on Sparsity-aware generalization theory for deep neural networks at Computational Complexity of Statistical Inference Workshop (CCSI) at MIT, Cambridge, MA

[01/04/2023] Poster on Adversarial robustness of sparse local Lipschitz predictors at Third workshop on Seeking Low‑Dimensionality in Deep Neural Networks (SlowDNN) at MBZUAI, Abu Dhabi

[11/17/2022] Poster on Adversarial robustness of sparse local Lipschitz predictors at Deepmath'23 at UCSD, San Diego

[07/12/2022] Poster on Adversarial robustness of sparse local Lipschitz predictors at Sparsity in Neural Networks Workshop at ICML'22 at Baltimore, MD

[12/10/2020] Poster on Adversarial robustness of supervised sparse coding at Deepmath 2023 at UCSD, San Diego

[02/27/2020] Invited Student Guest Speaker Talk on Randomized Sketching Algorithms for Low Memory Dynamic Optimization at CSL Student Conference at UIUC, IL

[02/27/2020] Spotlight talk on Sketching Algorithms for Approximate Gradients @ JuliaCon 2019 at Baltimore, MD

[06/23/2016] GSOC Student talk on Presolving routines for Optimization Problems @ JuliaCon 2016 at MIT, Cambridge, MA

[09/10/2015] Overly excited undergrad talk on “Why everything is optimization” at BITS, Goa.