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2020 – today
- 2024
[j4]Aleksandr Talitckii, Brendon K. Colbert, Matthew M. Peet:
Efficient Convex Algorithms for Universal Kernel Learning. J. Mach. Learn. Res. 25: 203:1-203:40 (2024)- [j3]Aleksandr Talitckii
, Joslyn L. Mangal, Brendon K. Colbert, Abhinav P. Acharya, Matthew M. Peet:
Employing Feature Selection Algorithms to Determine the Immune State of a Mouse Model of Rheumatoid Arthritis. IEEE J. Biomed. Health Informatics 28(4): 1906-1916 (2024) - 2023
- [i4]Aleksandr Talitckii, Brendon K. Colbert, Matthew M. Peet:
Efficient Convex Algorithms for Universal Kernel Learning. CoRR abs/2304.07472 (2023) - 2022
- [i3]Brendon K. Colbert, Joslyn L. Mangal, Aleksandr Talitckii, Abhinav P. Acharya, Matthew M. Peet:
Employing Feature Selection Algorithms to Determine the Immune State of Mice with Rheumatoid Arthritis. CoRR abs/2207.05882 (2022) - 2021
- [c7]Luis G. Crespo, Sean P. Kenny, Brendon K. Colbert, Tanner Slagel:
Interval Predictor Models for Robust System Identification*. CDC 2021: 872-879 - [c6]Luis G. Crespo, Brendon K. Colbert, Tanner Slager, Sean P. Kenny:
Robust Estimation of Sliced-Exponential Distributions⋆. CDC 2021: 6742-6748 - 2020
- [j2]Brendon K. Colbert, Matthew M. Peet:
A Convex Parametrization of a New Class of Universal Kernel Functions. J. Mach. Learn. Res. 21: 45:1-45:29 (2020) - [c5]Brendon K. Colbert, Luis G. Crespo, Matthew M. Peet:
A Convex Optimization Approach to Improving Suboptimal Hyperparameters of Sliced Normal Distributions. ACC 2020: 4478-4483 - [i2]Brendon K. Colbert, Matthew M. Peet:
A New Algorithm for Tessellated Kernel Learning. CoRR abs/2006.07693 (2020)
2010 – 2019
- 2019
- [j1]Luis G. Crespo, Brendon K. Colbert, Sean P. Kenny, Daniel P. Giesy:
On the quantification of aleatory and epistemic uncertainty using Sliced-Normal distributions. Syst. Control. Lett. 134 (2019) - [c4]Brendon K. Colbert, Luis G. Crespo, Matthew M. Peet:
A Sum of Squares Optimization Approach to Uncertainty Quantification. ACC 2019: 5378-5384 - [c3]Brendon K. Colbert, Matthew M. Peet:
Using SDP to Parameterize Universal Kernel Functions. CDC 2019: 4622-4629 - 2018
- [c2]Brendon K. Colbert, Hesameddin Mohammadi, Matthew M. Peet:
Combining SOS with Branch and Bound to Isolate Global Solutions of Polynomial Optimization Problems. ACC 2018: 2190-2197 - [c1]Brendon K. Colbert, Matthew M. Peet:
Using Trajectory Measurements to Estimate the Region of Attraction of Nonlinear Systems. CDC 2018: 2341-2347 - 2017
- [i1]Brendon K. Colbert, Matthew M. Peet:
A Convex Parametrization of a New Class of Universal Kernel Functions for use in Kernel Learning. CoRR abs/1711.05477 (2017)
Coauthor Index
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