Paper 'Structured Low-Rank Tensor Learning' accepted to OPT Workshop, NeurIPS 2021; paper 'Nonnegative Low-Rank Tensor Completion via Dual Formulation With Applications to Image and Video Completion' accepted to WACV 2022; paper 'A Riemannian Approach to Extreme Classification Problems' accepted to CODS-COMAD 2022.
Research Experience
Participated in “Research Week with Google”, a 4-day workshop conducted by Google Research India; worked on applications of Riemannian Optimization to Machine learning problems - Extreme Classification and Low-Rank Tensor Completion for his MS thesis.
Education
Dual Degree student at IIIT Hyderabad, working under the guidance of Dr. Pawan Kumar for his MS thesis.
Background
Research interests include Riemannian Optimization, Optimization for Large-Scale Machine Learning, Low-Rank Tensor Completion, Embedding methods to Extreme-Classification, Convex Analysis, Variational Analysis, Saddle-point problems, and Numerical Linear Algebra. Working at CSTAR, IIIT Hyderabad.
Miscellany
Notes on some research topics and basic math are hosted on this repository - Tex Notes; email is the best way to reach him.