Jackson Gorham

According to our database, Jackson Gorham authored at least 8 papers between 2011 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2021

Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy.

Onur Teymur, Jackson Gorham, Marina Riabiz, Chris J. Oates

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Stochastic Stein Discrepancies.

Jackson Gorham, Anant Raj, Lester Mackey

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Stein Point Markov Chain Monte Carlo.

Wilson Ye Chen, Alessandro Barp, François-Xavier Briol, Jackson Gorham, Mark A. Girolami, Lester W. Mackey, Chris J. Oates

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Stein Points.

Wilson Ye Chen, Lester W. Mackey, Jackson Gorham, François-Xavier Briol, Chris J. Oates

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Measuring Sample Quality with Kernels.

Jackson Gorham, Lester W. Mackey

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Measuring Sample Quality with Diffusions.

Jack Gorham, Andrew B. Duncan, Sebastian J. Vollmer, Lester W. Mackey

CoRR, 2016

2015

Measuring Sample Quality with Stein's Method.

Jackson Gorham, Lester W. Mackey

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

2011

Computational topology for configuration spaces of hard disks

Gunnar E. Carlsson, Jackson Gorham, Matthew Kahle, Jeremy Mason

CoRR, 2011