Brendon K. Colbert

According to our database, Brendon K. Colbert authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Employing Feature Selection Algorithms to Determine the Immune State of a Mouse Model of Rheumatoid Arthritis.

Aleksandr Talitckii, Joslyn L. Mangal, Brendon K. Colbert, Abhinav P. Acharya, Matthew M. Peet

IEEE J. Biomed. Health Informatics, April, 2024

Efficient Convex Algorithms for Universal Kernel Learning.

Aleksandr Talitckii, Brendon K. Colbert, Matthew M. Peet

J. Mach. Learn. Res., 2024

2022

Employing Feature Selection Algorithms to Determine the Immune State of Mice with Rheumatoid Arthritis.

Brendon K. Colbert, Joslyn L. Mangal, Aleksandr Talitckii, Abhinav P. Acharya, Matthew M. Peet

CoRR, 2022

2021

Interval Predictor Models for Robust System Identification^*.

Luis G. Crespo, Sean P. Kenny, Brendon K. Colbert, Tanner Slagel

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Robust Estimation of Sliced-Exponential Distributions^⋆.

Luis G. Crespo, Brendon K. Colbert, Tanner Slager, Sean P. Kenny

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

A Convex Parametrization of a New Class of Universal Kernel Functions.

Brendon K. Colbert, Matthew M. Peet

J. Mach. Learn. Res., 2020

A New Algorithm for Tessellated Kernel Learning.

Brendon K. Colbert, Matthew M. Peet

CoRR, 2020

A Convex Optimization Approach to Improving Suboptimal Hyperparameters of Sliced Normal Distributions.

Brendon K. Colbert, Luis G. Crespo, Matthew M. Peet

Proceedings of the 2020 American Control Conference, 2020

2019

On the quantification of aleatory and epistemic uncertainty using Sliced-Normal distributions.

Luis G. Crespo, Brendon K. Colbert, Sean P. Kenny, Daniel P. Giesy

Syst. Control. Lett., 2019

Using SDP to Parameterize Universal Kernel Functions.

Brendon K. Colbert, Matthew M. Peet

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Sum of Squares Optimization Approach to Uncertainty Quantification.

Brendon K. Colbert, Luis G. Crespo, Matthew M. Peet

Proceedings of the 2019 American Control Conference, 2019

2018

Using Trajectory Measurements to Estimate the Region of Attraction of Nonlinear Systems.

Brendon K. Colbert, Matthew M. Peet

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Combining SOS with Branch and Bound to Isolate Global Solutions of Polynomial Optimization Problems.

Brendon K. Colbert, Hesameddin Mohammadi, Matthew M. Peet

Proceedings of the 2018 Annual American Control Conference, 2018

2017

A Convex Parametrization of a New Class of Universal Kernel Functions for use in Kernel Learning.

Brendon K. Colbert, Matthew M. Peet

CoRR, 2017