Suriya Gunasekar
CV
E-mail About Me
PhD Candidate at UT Austin, ECE.Advised by: Prof. Joydeep Ghosh.
Affiliation(s): WNCG @ UT Austin , IDEA Lab @ UT Austin.
Office: POB 3.106, 201 E 24th Street, Austin, TX 78705.
Previously: MS in ECE, UT Austin (2012), B. Tech in ECE, NIT Warangal, India (2010).
Office: POB 3.106, 201 E 24th Street, Austin, TX 78705.
Previously: MS in ECE, UT Austin (2012), B. Tech in ECE, NIT Warangal, India (2010).
I am currently looking for postdoc and industry research positions.
Research
PhD Thesis: Generalizations of Matrix Estimation: Statistically Consistent Estimators and Applications. Current Research:- Statistical machine learning, high dimensional estimation, matrix completion, clinical healthcare analytics, Learning to Rank (LETOR) in collaborative filtering, convex optimization.
- Approximate algorithms and distributed estimation for high dimensional learning problems: accuracy-computation tradeoff, smart-greedy algorithms.
- Semi-supervised and multi-task learning applications in healthcare and bioinformatics: structured prediction and LETOR, prediction from weak/noisy supervision, transfer learning, active learning.
- Privacy preserving learning algorithms for ecommerce and healthcare applications.
Select Publications
Click here for a detailed list of all publications and related files.- Unified View of Matrix Completion under General Structural Constraints. In NIPS 2015*. (ArXiv)
- Consistent Collective Matrix Completion under Joint Low Rank Structure. In AISTATS 2014. (ArXiv)
- Exponential family matrix completion under structural constraints. In ICML 2014. (ArXiv)