Chris J. Maddison

Chris J. Maddison

Probabilistic inference, Monte Carlo methods, neural networks, point processes

I am a DPhil student of statistics at the University of Oxford supervised by Yee Whye Teh and Arnaud Doucet. I also spend two days a week as a Research Scientist at DeepMind. Previously, I received my MSc. from the University of Toronto supervised by Geoffrey Hinton. I was one of the primary contributors to the AlphaGo project.

Publications

2016

  • Chris J. Maddison, Andriy Mnih, Yee Whye Teh, The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables, 2016.
  • Chris J. Maddison, A Poisson process model for Monte Carlo, in Perturbation, Optimization, and Statistics, T. Hazan, G. Papandreou, and D. Tarlow, Eds. MIT Press, 2016.
  • David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, Demis Hassabis, Mastering the game of Go with deep neural networks and tree search, Nature, vol. 529, no. 7587, 484–489, 2016.

2015

  • Chris J. Maddison, Aja Huang, Ilya Sutskever, David Silver, Move Evaluation in Go Using Deep Convolutional Neural Networks, in International Conference on Learning Representations, 2015.

2014

  • Chris J. Maddison, Daniel Tarlow, Structured Generative Models of Natural Source Code, in Proceedings of the 31st International Conference on Machine Learning, 2014.
  • Chris J. Maddison, Daniel Tarlow, Tom Minka, A* Sampling, in Advances in Neural Information Processing Systems 27, 2014.

2013

  • Roger Grosse, Chris J. Maddison, Ruslan Salakhutdinov, Annealing Between Distributions by Averaging Moments, in Advances in Neural Information Processing Systems 26, 2013.

2012

  • Sarah A. Heimovics, Nora H. Prior, Chris J. Maddison, Kiran K. Soma, Rapid and Widespread Effects of 17-beta-estradiol on Intracellular Signaling in the Male Songbird Brain: A Seasonal Comparison, Endocrinology, vol. 153, no. 3, 1364–1376, 2012.
  • Chris J. Maddison, Rindy C. Anderson, Nora H. Prior, Matthew D. Taves, Kiran K. Soma, Soft song during aggressive interactions: Seasonal changes and endocrine correlates in song sparrows, Hormones and Behavior, vol. 62, no. 4, 455–463, 2012.