16 citations · 59 across the 10 of their papers we have counts for
3 papers · 1 filter
NeuralFDR: Learning Discovery Thresholds from Hypothesis Features
Fei Xia, Martin J. Zhang, James Zou +1
As datasets grow richer, an important challenge is to leverage the full features in the data to maximize the number of useful discoveries while controlling for false positives. We…
Medoids in almost linear time via multi-armed bandits
Vivek Bagaria, Govinda M. Kamath, Vasilis Ntranos +2
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 which…
Contrastive Principal Component Analysis
Abubakar Abid, Martin J. Zhang, Vivek K. Bagaria +1
We present a new technique called contrastive principal component analysis (cPCA) that is designed to discover low-dimensional structure that is unique to a dataset, or enriched in…