3 papers
cs.IT2018
Estimators for Multivariate Information Measures in General Probability Spaces
Arman Rahimzamani, Himanshu Asnani, Pramod Viswanath +1
Information theoretic quantities play an important role in various settings in machine learning, including causality testing, structure inference in graphical models, time-series p…
stat.ML2018
Mimic and Classify : A meta-algorithm for Conditional Independence Testing
Rajat Sen, Karthikeyan Shanmugam, Himanshu Asnani +2
Given independent samples generated from the joint distribution , we study the problem of Conditional Independence (CI-Testing), i.e., whether…
cs.IT2017
Potential Conditional Mutual Information: Estimators, Properties and Applications
Arman Rahimzamani, Sreeram Kannan
The conditional mutual information I(X;Y|Z) measures the average information that X and Y contain about each other given Z. This is an important primitive in many learning problems…