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Govinda Kamath

3 accepted papers

2020

Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment

NeurIPS 2020poster

Pairwise alignment of DNA sequencing data is a ubiquitous task in bioinformatics and typically represents a heavy computational burden. State-of-the-art approaches to speed up this task use hashing to identify short segments (k-mers) that are shared by pairs of reads, which can then be used to estim…

2018

Medoids in Almost-Linear Time via Multi-Armed Bandits

AISTATS 2018poster

Computing the medoid of a large number of points in high-dimensional space is an increasingly common operation in many data science problems. We present an algorithm Med-dit to compute the medoid with high probability, which uses $O(n\log n)$ distance evaluations. Med-dit is based on a connection wi…