research
∙
02/13/2020
Harvesting Ambient RF for Presence Detection Through Deep Learning
This paper explores the use of ambient radio frequency (RF) signals for ...
share
research
∙
01/29/2020
FOCUS: Dealing with Label Quality Disparity in Federated Learning
Ubiquitous systems with End-Edge-Cloud architecture are increasingly bei...
research
∙
08/27/2019
Asymptotically Optimal One- and Two-Sample Testing with Kernels
We characterize the asymptotic performance of nonparametric one- and two...
research
∙
07/31/2018
K-medoids Clustering of Data Sequences with Composite Distributions
This paper studies clustering of data sequences using the k-medoids algo...
research
∙
02/23/2018
Exponentially Consistent Kernel Two-Sample Tests
Given two sets of independent samples from unknown distributions P and Q...
research
∙
02/21/2018
Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit
We characterize the asymptotic performance of nonparametric goodness of ...
research
∙
12/08/2017
Nonparametric Composite Hypothesis Testing in an Asymptotic Regime
We investigate the nonparametric, composite hypothesis testing problem f...
research
∙
01/10/2013
Wyner's Common Information: Generalizations and A New Lossy Source Coding Interpretation
Wyner's common information was originally defined for a pair of dependen...
research
∙
10/18/2010
The Common Information of N Dependent Random Variables
This paper generalizes Wyner's definition of common information of a pai...
research
∙
11/10/2009
