7 citations · 7 across the 3 of their papers we have counts for
3 papers
stat.ML2021
Parsimonious Inference
Jed A. Duersch, Thomas A. Catanach
Bayesian inference provides a uniquely rigorous approach to obtain principled justification for uncertainty in predictions, yet it is difficult to articulate suitably general prior…
cs.MS2020
Randomized Projection for Rank-Revealing Matrix Factorizations and Low-Rank Approximations
Jed A. Duersch, Ming Gu
Rank-revealing matrix decompositions provide an essential tool in spectral analysis of matrices, including the Singular Value Decomposition (SVD) and related low-rank approximation…
cs.IT2019★ 7 cited
Generalizing Information to the Evolution of Rational Belief
Jed A. Duersch, Thomas A. Catanach
Information theory provides a mathematical foundation to measure uncertainty in belief. Belief is represented by a probability distribution that captures our understanding of an ou…