Brendon K. Colbert

15 papers C 3Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Efficient Convex Algorithms for Universal Kernel Learning.
J. Mach. Learn. Res.
Aleksandr Talitckii, Brendon K. Colbert, Matthew M. Peet
2024 J jnl
Employing Feature Selection Algorithms to Determine the Immune State of a Mouse Model of Rheumatoid Arthritis.
IEEE J. Biomed. Health Informatics
Aleksandr Talitckii, Joslyn L. Mangal, Brendon K. Colbert, Abhinav P. Acharya, Matthew M. Peet
2023 J jnl
Efficient Convex Algorithms for Universal Kernel Learning.
CoRR
Aleksandr Talitckii, Brendon K. Colbert, Matthew M. Peet
2022 J jnl
Employing Feature Selection Algorithms to Determine the Immune State of Mice with Rheumatoid Arthritis.
CoRR
Brendon K. Colbert, Joslyn L. Mangal, Aleksandr Talitckii, Abhinav P. Acharya, Matthew M. Peet
2021 — conf
Interval Predictor Models for Robust System Identification
CDC
Luis G. Crespo, Sean P. Kenny, Brendon K. Colbert, Tanner Slagel
2021 — conf
Robust Estimation of Sliced-Exponential Distributions
CDC
Luis G. Crespo, Brendon K. Colbert, Tanner Slager, Sean P. Kenny
2020 C conf
A Convex Optimization Approach to Improving Suboptimal Hyperparameters of Sliced Normal Distributions.
ACC
Brendon K. Colbert, Luis G. Crespo, Matthew M. Peet
2020 J jnl
A Convex Parametrization of a New Class of Universal Kernel Functions.
J. Mach. Learn. Res.
Brendon K. Colbert, Matthew M. Peet
2020 J jnl
A New Algorithm for Tessellated Kernel Learning.
CoRR
Brendon K. Colbert, Matthew M. Peet
2019 C conf
A Sum of Squares Optimization Approach to Uncertainty Quantification.
ACC
Brendon K. Colbert, Luis G. Crespo, Matthew M. Peet
2019 J jnl
On the quantification of aleatory and epistemic uncertainty using Sliced-Normal distributions.
Syst. Control. Lett.
Luis G. Crespo, Brendon K. Colbert, Sean P. Kenny, Daniel P. Giesy
2019 — conf
Using SDP to Parameterize Universal Kernel Functions.
CDC
Brendon K. Colbert, Matthew M. Peet
2018 C conf
Combining SOS with Branch and Bound to Isolate Global Solutions of Polynomial Optimization Problems.
ACC
Brendon K. Colbert, Hesameddin Mohammadi, Matthew M. Peet
2018 — conf
Using Trajectory Measurements to Estimate the Region of Attraction of Nonlinear Systems.
CDC
Brendon K. Colbert, Matthew M. Peet
2017 J jnl
A Convex Parametrization of a New Class of Universal Kernel Functions for use in Kernel Learning.
CoRR
Brendon K. Colbert, Matthew M. Peet