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12/22/2019
Direct and Indirect Effects – An Information Theoretic Perspective
Information theoretic (IT) approaches to quantifying causal influences h...
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02/01/2019
On the Bias of Directed Information Estimators
When estimating the directed information between two jointly stationary ...
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01/08/2019
Construction and Analysis of Posterior Matching in Arbitrary Dimensions via Optimal Transport
The posterior matching scheme, for feedback encoding of a message point ...
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10/11/2018
Measuring Sample Path Causal Influences with Relative Entropy
We present a sample path dependent measure of causal influence between t...
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05/09/2018
A Sample Path Measure of Causal Influence
We present a sample path dependent measure of causal influence between t...
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01/25/2018
A Distributed Framework for the Construction of Transport Maps
The need to reason about uncertainty in large, complex, and multi-modal ...
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01/07/2018
Bayesian Lasso Posterior Sampling via Parallelized Measure Transport
It is well known that the Lasso can be interpreted as a Bayesian posteri...
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06/14/2017
A Modularized Efficient Framework for Non-Markov Time Series Estimation
We present a compartmentalized approach to finding the maximum a-posteri...
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09/29/2015
Tractable Fully Bayesian Inference via Convex Optimization and Optimal Transport Theory
We consider the problem of transforming samples from one continuous sour...
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04/09/2012