I am a third year PhD student at CMU, where I am fortunate to be advised by Aaditya Ramdas. I am interested in pursuing problems in machine learning and statistics in a principled manner, using mathematical tools and understanding to guide practice. Currently, I am spending most of my time thinking about assumption-free uncertainty quantification in classification and regression problems.

Earlier, I was a Research Fellow at Microsoft Research, India with Prateek Jain. I obtained my undergrad (B. Tech) in Computer Science from IIT Kanpur.

Publications and preprints

Distribution-free binary classification: prediction sets, confidence intervals and calibration

Chirag Gupta* , Aleksandr Podkopaev*, Aaditya Ramdas

Neurips 2020 (spotlight) [arxiv] [talk]

Nested conformal prediction and quantile out-of-bag ensemble methods

Chirag Gupta , Arun K Kuchibhotla, Aaditya K Ramdas

Submitted. Pattern Recognition, Special Issue on Conformal Prediction. [arxiv] [code] [talk]

Path length bounds for gradient descent and flow

Chirag Gupta , Sivaraman Balakrishnan, Aaditya Ramdas

Revision. Journal of Machine Learning Research (JMLR). [arxiv] [blog]

Support recovery for orthogonal matching pursuit: upper and lower bounds

Raghav Somani*, Chirag Gupta* , Prateek Jain, Praneeth Netrapalli

Neurips 2018 (spotlight) . [pdf]

Protonn: Compressed and accurate knn for resource-scarce devices

Chirag Gupta, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain

ICML 2017. [pdf] [code]

Services

Reviewer: ICML 2020, ALT 2020

Teaching Assistant: 10606/607, CMU Summer 2020 (Mathematical and Computational Foundations for Machine Learning)