Chris J. Maddison

According to our database1, Chris J. Maddison authored at least 17 papers between 2013 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives.
CoRR, 2018

Hamiltonian Descent Methods.
CoRR, 2018

Conditional Neural Processes.
CoRR, 2018

Tighter Variational Bounds are Not Necessarily Better.
CoRR, 2018

Tighter Variational Bounds are Not Necessarily Better.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models.
CoRR, 2017

Filtering Variational Objectives.
CoRR, 2017

Particle Value Functions.
CoRR, 2017

REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

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

2016
Mastering the game of Go with deep neural networks and tree search.
Nature, 2016

The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables.
CoRR, 2016

2014
Structured Generative Models of Natural Source Code.
CoRR, 2014

Move Evaluation in Go Using Deep Convolutional Neural Networks.
CoRR, 2014

A* Sampling.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Structured Generative Models of Natural Source Code.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Annealing between distributions by averaging moments.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013


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