Max Zwiessele

According to our database, Max Zwiessele authored at least 7 papers between 2014 and 2019.

Collaborative distances:

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

2019

Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs.

Robert Walecki, Kostis Gourgoulias, Adam Baker, Chris Hart, Chris Lucas, Max Zwiessele, Albert Buchard, Maria Lomeli, Yura Perov, Saurabh Johri

CoRR, 2019

2018

Universal Marginalizer for Amortised Inference and Embedding of Generative Models.

Robert Walecki, Albert Buchard, Kostis Gourgoulias, Chris Hart, Maria Lomeli, Alexandre K. W. Navarro, Max Zwiessele, Yura Perov, Saurabh Johri

CoRR, 2018

Differentially Private Regression with Gaussian Processes.

Michael T. Smith, Mauricio A. Álvarez, Max Zwiessele, Neil D. Lawrence

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

2017

Bringing models to the domain: deploying Gaussian processes in the biological sciences.

Max Zwiessele

PhD thesis, 2017

2016

Differentially Private Gaussian Processes.

Michael T. Smith, Max Zwiessele, Neil D. Lawrence

CoRR, 2016

2014

Hybrid Discriminative-Generative Approach with Gaussian Processes.

Ricardo Andrade Pacheco, James Hensman, Max Zwiessele, Neil D. Lawrence

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Tilted Variational Bayes.

James Hensman, Max Zwiessele, Neil D. Lawrence

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014