Jed A. Duersch

Orcid: 0000-0002-2178-3695

According to our database1, Jed A. Duersch authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Projective Integral Updates for High-Dimensional Variational Inference.
SIAM/ASA J. Uncertain. Quantification, March, 2024

Logical activation functions for training arbitrary probabilistic Boolean operations.
Inf. Sci., 2024

2023
An Efficient Quadrature Sequence and Sparsifying Methodology for Mean-Field Variational Inference.
CoRR, 2023

2022
Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions.
CoRR, 2022

Adaptive n-ary Activation Functions for Probabilistic Boolean Logic.
CoRR, 2022

Variational Kalman Filtering with H∞-Based Correction for Robust Bayesian Learning in High Dimensions.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Parsimonious Inference.
CoRR, 2021

2020
Generalized Canonical Polyadic Tensor Decomposition.
SIAM Rev., 2020

Randomized Projection for Rank-Revealing Matrix Factorizations and Low-Rank Approximations.
SIAM Rev., 2020

Generalizing Information to the Evolution of Rational Belief.
Entropy, 2020

2018
A Robust and Efficient Implementation of LOBPCG.
SIAM J. Sci. Comput., 2018

2017
Randomized QR with Column Pivoting.
SIAM J. Sci. Comput., 2017


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