Recent Publications

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We study the adversarial multi-armed bandit problem where partial observations are available and where, in addition to the loss …

The notion of policy regret in online learning is a well defined performance measure for the common scenario of adaptive adversaries, …

We study the statistical and computational aspects of kernel principal component analysis using random Fourier features and show that …

We study streaming algorithms for principal component analysis (PCA) in noisy settings. We present computationally efficient algorithms …

We propose novel first-order stochastic approximation algorithms for canonical correlation analysis (CCA). Algorithms presented are …

Experience

 
 
 
 
 

Teaching Assistant

Johns Hopkins University

Sep 2018 – Dec 2018
Teaching Assistant for Machine Learning: Optimization EN.601.681481
 
 
 
 
 

Teaching Assistant

Johns Hopkins University

Jan 2018 – May 2018
Teaching Assistant for Machine Learning: Advanced Topics EN.601.779
 
 
 
 
 

Teaching Assistant

Johns Hopkins University

Jan 2017 – May 2017
Teaching Assistant for Machine Learning EN.601.475
 
 
 
 
 

Software Engineering Intern

IFD Engineering Joint Venture Ltd

Jun 2014 – Sep 2014 Sofia, Bulgaria

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