Technical Lead - Machine Learning, Teachmint Technologies, India.
Prior to this, I worked on design and development of systems involving large scale IoT solutions.
I received my B.Tech (2016) in Electronics and Electrical Engineering from IIT Guwahati.
Research
Machine Learning. I am interested in the areas of Optimization, Domain Adaptation and Deep Learning. In particular, I work on frameworks that have/provide strong theoretical foundations in above areas. Recent focuses include Optimal Transport, Riemannian Optimization.
Publications/Preprints
B. Mishra, N. T. V. Satya Dev, H. Kasai, and P. Jawanpuria.
Manifold optimization for optimal transport, arXiv 2021.
P. Jawanpuria, N. T. V. Satya Dev, and B. Mishra.
Efficient optimal transport using feature correlations, IEEE CDC 2021.
P. Jawanpuria, N. T. V. Satya Dev, and B. Mishra.
Efficient robust optimal transport: formulations and algorithms, OPT @ NeurIPS 2020.
P. Jawanpuria, N. T. V. Satya Dev, A. Kunchukuttan, and B. Mishra.
Learning Geometric Word Meta-Embeddings, RepL4NLP @ ACL 2020.
Repositories/Contributions
McTorch: Manifold optimization library for Deep Learning
Pymanopt: Python toolbox for optimization on Riemannian Manifolds
GeoIMC: Geometery Aware Inductive Matrix Completion algorithm
In Microsoft’s Recommender Systems
DECILE: Data Efficient Machine Learning