Michael C. Burkhart

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 13

Top Topics

Feature Representation

Gaussian Process

Bayesian Filtering

Convex Functions

Top Venues

J. Comput. Sci.

Publications

Michael C. Burkhart
Discriminative Bayesian filtering lends momentum to the stochastic Newton method for minimizing log-convex functions. Optim. Lett. 17 (3) (2023)
Michael C. Burkhart, Gabriel Ruiz
Neuroevolutionary representations for learning heterogeneous treatment effects. J. Comput. Sci. 71 (2023)
Michael C. Burkhart, Gabriel Ruiz
Neuroevolutionary Feature Representations for Causal Inference. CoRR (2022)
Michael C. Burkhart, Kyle Shan
Deep Low-Density Separation for Semi-Supervised Classification. CoRR (2022)
Michael C. Burkhart, Gabriel Ruiz
Neuroevolutionary Feature Representations for Causal Inference. ICCS (1) (2022)
Michael C. Burkhart
Discriminative Bayesian Filtering Lends Momentum to the Stochastic Newton Method for Minimizing Log-Convex Functions. CoRR (2021)
Michael C. Burkhart
Discriminative Bayesian Filtering for the Semi-supervised Augmentation of Sequential Observation Data. ICCS (2) (2021)
Michael C. Burkhart, Kyle Shan
Deep Low-Density Separation for Semi-supervised Classification. ICCS (3) (2020)
Michael C. Burkhart, David M. Brandman, Brian Franco, Leigh R. Hochberg, Matthew T. Harrison
The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models. Neural Comput. 32 (5) (2020)
Michael C. Burkhart, Kourosh Modarresi
Determining Adaptive Loss Functions and Algorithms for Predictive Models. ICCS (2) (2019)
Michael C. Burkhart, Kourosh Modarresi
Adaptive Objective Functions and Distance Metrics for Recommendation Systems. ICCS (2) (2019)
David M. Brandman, Michael C. Burkhart, Jessica N. Kelemen, Brian Franco, Matthew T. Harrison, Leigh R. Hochberg
Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression. Neural Comput. 30 (11) (2018)
Michael C. Burkhart
A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding. CoRR (2018)