Gerardo Duràn-Martín

According to our database, Gerardo Duràn-Martín authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Doubly Outlier-Robust Online Infinite Hidden Markov Model.

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

CoRR, April, 2026

A Predictive View on Streaming Hidden Markov Models.

Gerardo Duran-Martin

CoRR, April, 2026

2025

Scalable Generalized Bayesian Online Neural Network Training for Sequential Decision Making.

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

CoRR, June, 2025

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning.

Gerardo Duran-Martin

CoRR, May, 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

J. Open Source Softw., April, 2025

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

Martingale Posterior Neural Networks for Fast Sequential Decision Making.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

BONE: a unifying framework for Bayesian online learning in non-stationary environments.

Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alexander Y. Shestopaloff, Kevin Murphy

CoRR, 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, Dan Foreman-Mackey, Michele Gregori, Carlos Iguaran, Ravin Kumar, Martin Lysy, Kevin Murphy, Juan Camilo Orduz, Karm Patel, Xi Wang, Rob Zinkov

CoRR, 2024

Outlier-robust Kalman Filtering through Generalised Bayes.

Gerardo Duran-Martin, Matías Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Patrick Murphy

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Detecting Toxic Flow.

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

CoRR, 2023

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, Kevin Patrick Murphy

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Efficient Online Bayesian Inference for Neural Bandits.

Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022