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04/27/2022
Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions
In this paper, we address the problem of convergence of sequential varia...
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03/16/2022
Adaptive n-ary Activation Functions for Probabilistic Boolean Logic
Balancing model complexity against the information contained in observed...
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03/03/2021
Parsimonious Inference
Bayesian inference provides a uniquely rigorous approach to obtain princ...
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01/06/2020
Bayesian inference of Stochastic reaction networks using Multifidelity Sequential Tempered Markov Chain Monte Carlo
Stochastic reaction network models are often used to explain and predict...
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11/21/2019
Generalizing Information to the Evolution of Rational Belief
Information theory provides a mathematical foundation to measure uncerta...
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04/23/2018