I am broadly interested in theoretical computer science and theory of machine learning. In particular, I am interested in beyond worst case analysis of algorithms.
Prior to this, I was a pre-doctoral Research Fellow at Microsoft Research India (MSR), where I worked with Ankit Garg and Neeraj Kayal. Even earlier, I was a dual-degree B.Tech + MS student in Computer Science at IIIT Hyderabad.
Selected Publications
Learning Arithmetic Formulas in the Presence of Noise: A General Framework and Applications to
Unsupervised Learning
Pritam Chandra, Ankit Garg, Neeraj Kayal, Kunal Mittal,
(alphabetical order)
ITCS 2024 | Innovations in Theoretical Computer Science
Nonnegative Low-rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion
, Jayadev Naram, Pawan Kumar
WACV 2022 | IEEE CVF Winter Conference on Applications of Computer Vision
Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning
Chaitanya Kharyal, Sai Krishna Gottipatti, , Srijit Das, Matthew E. Taylor
Neural Computing and Applications | Deep Reinforcement Learning Workshop NeurIPS 2022