Articles

A unifying framework for generalised Bayesian online learning in non-stationary environments

Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alex Shestopaloff, Kevin Murphy

Transactions on Machine Learning Research (TMLR), March 2025

Outlier-robust Kalman Filtering through Generalised Bayes

Gerardo Duran-Martin, Matias Altamirano, Alex Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, Francois-Xavier Briol, Kevin Patrick Murphy

International Conference on Machine Learning (ICML), June 2024

Paper

Code

Detecting toxic flow

Álvaro Cartea, Gerardo Duran-Martin, Leandro Sánchez-Betancourt

Preprint, December 2023

Paper

Low-rank extended Kalman filtering for online learning of neural networks from streaming data

Peter G. Chang, Gerardo Duran-Martin, Alex Shestopaloff, Matt Jones, Kevin Murphy

Conference on Lifelong Learning (CoLLAs), August 2023

Paper

Code

Efficient Online Bayesian Inference for Neural Bandits

Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy

Artificial Intelligence and Statistics (AIStats), March 2022

Paper

Code