Ryan Giordano

According to our database, Ryan Giordano authored at least 10 papers between 2014 and 2023.

Collaborative distances:

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

2023

Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box.

Ryan Giordano, Martin Ingram, Tamara Broderick

CoRR, 2023

Gaussian processes at the Helm(holtz): A more fluid model for ocean currents.

Renato Berlinghieri, Brian L. Trippe, David R. Burt, Ryan James Giordano, Kaushik Srinivasan, Tamay M. Özgökmen, Junfei Xia, Tamara Broderick

Proceedings of the International Conference on Machine Learning, 2023

2019

Cataloging the visible universe through Bayesian inference in Julia at petascale.

Jeffrey Regier, Keno Fischer, Kiran Pamnany, Andreas Noack, Jarrett Revels, Maximilian Lam, Steve Howard, Ryan Giordano, David Schlegel, Jon McAuliffe, Rollin C. Thomas, Prabhat

J. Parallel Distributed Comput., 2019

A Higher-Order Swiss Army Infinitesimal Jackknife.

Ryan Giordano, Michael I. Jordan, Tamara Broderick

CoRR, 2019

A Swiss Army Infinitesimal Jackknife.

Ryan Giordano, William T. Stephenson, Runjing Liu, Michael I. Jordan, Tamara Broderick

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Covariances, Robustness, and Variational Bayes.

Ryan Giordano, Tamara Broderick, Michael I. Jordan

J. Mach. Learn. Res., 2018

Cataloging the Visible Universe Through Bayesian Inference at Petascale.

Jeffrey Regier, Kiran Pamnany, Keno Fischer, Andreas Noack, Maximilian Lam, Jarrett Revels, Steve Howard, Ryan Giordano, David Schlegel, Jon McAuliffe, Rollin C. Thomas, Prabhat

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2016

Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference.

Jeffrey Regier, Kiran Pamnany, Ryan Giordano, Rollin C. Thomas, David Schlegel, Jon McAuliffe, Prabhat

CoRR, 2016

2015

Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes.

Ryan Giordano, Tamara Broderick, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Covariance Matrices for Mean Field Variational Bayes.

Ryan Giordano, Tamara Broderick

CoRR, 2014