Time elapsed till an event of interest is often modeled using the surviv...
Nearest Neighbor Search (NNS) is a central task in knowledge representat...
Active learning and structured stochastic bandit problems are intimately...
The pure-exploration problem in stochastic multi-armed bandits aims to f...
Construction of tight confidence regions and intervals is central to
sta...
This paper studies the problem of adaptively sampling from K distributio...
We consider the problem of learning the nearest neighbor graph of a data...
We study the rate region of variable-length source-network codes that ar...
We propose a data-driven framework for optimizing privacy-preserving dat...