I am a graduate research student at College of Information and Computer Sciences, University of Massachusetts, advised by Professor Cameron Musco. My work focuses on approximating kernel methods, randomized algorithms and online learning. I am especially interested in the overarching goal of finding adaptive kernel functions for large datasets.
Prior to this I worked as Visiting Researcher in Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata with Professor Dipti Prasad Mukherjee. I completed my Masters in Computer Science in the year 2015, from the same institute. My primary research interest was in non-linear learning models for pre-image computation of image datasets.
In my leisure I enjoy playing guitar, badminton and birding. I am an ardent fan of absurdist fiction, philosophical fiction, epic fictions and graphic novels. I am absolute fan of Seinfeld and consider it the pinnacle of observational and conversational comedy.
- (December 2021) Our paper on Sublinear time approximation of text similarity matrices was accepted for publication in AAA1 2021.
- (August 2021) Presented our work on Estimating eigenvalues of symmetric matrices using random submatrices at WALD(O) 2021. [link to poster]
- (June 2021) Presented our work on Kernel approximation in sliding window models at WOLA 2021. [link to poster]