Jed A. Duersch

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Projective Integral Updates for High-Dimensional Variational Inference.

Jed A. Duersch

SIAM/ASA J. Uncertain. Quantification, March, 2024

Logical activation functions for training arbitrary probabilistic Boolean operations.

Jed A. Duersch, Tommie A. Catanach, Niladri Das

Inf. Sci., 2024

2023

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

Jed A. Duersch

CoRR, 2023

2022

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

Niladri Das, Jed A. Duersch, Thomas A. Catanach

CoRR, 2022

Adaptive n-ary Activation Functions for Probabilistic Boolean Logic.

Jed A. Duersch, Thomas A. Catanach, Niladri Das

CoRR, 2022

Variational Kalman Filtering with H∞-Based Correction for Robust Bayesian Learning in High Dimensions.

Niladri Das, Jed A. Duersch, Tommie A. Catanach

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Parsimonious Inference.

Jed A. Duersch, Thomas A. Catanach

CoRR, 2021

2020

Generalized Canonical Polyadic Tensor Decomposition.

David Hong, Tamara G. Kolda, Jed A. Duersch

SIAM Rev., 2020

Randomized Projection for Rank-Revealing Matrix Factorizations and Low-Rank Approximations.

Jed A. Duersch, Ming Gu

SIAM Rev., 2020

Generalizing Information to the Evolution of Rational Belief.

Jed A. Duersch, Thomas A. Catanach

Entropy, 2020

2018

A Robust and Efficient Implementation of LOBPCG.

Jed A. Duersch, Meiyue Shao, Chao Yang, Ming Gu

SIAM J. Sci. Comput., 2018

2017

Randomized QR with Column Pivoting.

Jed A. Duersch, Ming Gu

SIAM J. Sci. Comput., 2017