Efficient Online Bayesian Inference for Neural Bandits. - Gerardo Duran-Martin; Aleyna Kara; Kevin Murphy 002 (AISTATS, 2022)

Low-rank extended Kalman filtering for online learning of neural networks from streaming data. - Peter G. Chang; Gerardo Duràn-Martín; Alexander Y. Shestopaloff; Matt Jones 002; Kevin Patrick Murphy (CoLLAs, 2023)

Detecting Toxic Flow. - Álvaro Cartea; Gerardo Duran-Martin; Leandro Sánchez-Betancourt (CoRR, 2023)

Outlier-robust Kalman Filtering through Generalised Bayes. - Gerardo Duran-Martin; Matías Altamirano; Alexander Y. Shestopaloff; Leandro Sánchez-Betancourt; Jeremias Knoblauch; Matt Jones 002; François-Xavier Briol; Kevin Patrick Murphy (ICML, 2024)

BlackJAX: Composable Bayesian inference in JAX. - Alberto Cabezas; Adrien Corenflos; Junpeng Lao; Rémi Louf; Antoine Carnec; Kaustubh Chaudhari; Reuben Cohn-Gordon; Jeremie Coullon; Wei Deng; Sam Duffield; Gerardo Duràn-Martín; Marcin Elantkowski; et al. (CoRR, 2024)

BONE: a unifying framework for Bayesian online learning in non-stationary environments. - Gerardo Duran-Martin; Leandro Sánchez-Betancourt; Alexander Y. Shestopaloff; Kevin Murphy 002 (CoRR, 2024)

A unifying framework for generalised Bayesian online learning in non-stationary environments. - Gerardo Duran-Martin; Leandro Sánchez-Betancourt; Alexander Y. Shestopaloff; Kevin Patrick Murphy (Trans. Mach. Learn. Res., 2025)

Dynamax: A Python package for probabilistic state space modeling with JAX. - Scott W. Linderman; Peter G. Chang; Giles Harper-Donnelly; Aleyna Kara; Xinglong Li; Gerardo Duran-Martin; Kevin Murphy 002 (J. Open Source Softw., 2025)

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning. - Gerardo Duran-Martin (CoRR, 2025)

Scalable Generalized Bayesian Online Neural Network Training for Sequential Decision Making. - Gerardo Duran-Martin; Leandro Sánchez-Betancourt; Álvaro Cartea; Kevin Murphy 002 (CoRR, 2025)