Ho Chung Leon Law

According to our database, Ho Chung Leon Law authored at least 8 papers between 2017 and 2019.

Collaborative distances:

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

2019

Testing and learning on distributional and set inputs.

Ho Chung Leon Law

PhD thesis, 2019

A Differentially Private Kernel Two-Sample Test.

Anant Raj, Ho Chung Leon Law, Dino Sejdinovic, Mijung Park

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Hyperparameter Learning via Distributional Transfer.

Ho Chung Leon Law, Peilin Zhao, Leung Sing Chan, Junzhou Huang, Dino Sejdinovic

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Hyperparameter Learning via Distributional Transfer.

Ho Chung Leon Law, Peilin Zhao, Junzhou Huang, Dino Sejdinovic

CoRR, 2018

Variational Learning on Aggregate Outputs with Gaussian Processes.

Ho Chung Leon Law, Dino Sejdinovic, Ewan Cameron, Tim C. D. Lucas, Seth R. Flaxman, Katherine Battle, Kenji Fukumizu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Bayesian Approaches to Distribution Regression.

Ho Chung Leon Law, Danica J. Sutherland, Dino Sejdinovic, Seth R. Flaxman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Bayesian Distribution Regression.

Ho Chung Leon Law, Danica J. Sutherland, Dino Sejdinovic, Seth R. Flaxman

CoRR, 2017

Testing and Learning on Distributions with Symmetric Noise Invariance.

Ho Chung Leon Law, Christopher Yau, Dino Sejdinovic

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017