Chris J. Maddison

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	All	Since 2016
Citations	11876	11722
h-index	16	15
i10-index	18	18

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201520162017201820192020202168 876 1669 2607 3152 3244 54

Co-authors

David SilverGoogle DeepMindVerified email at google.com
Aja HuangDeepMindVerified email at google.com
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Ilya SutskeverCo-Founder and Chief Scientist of OpenAIVerified email at openai.com
Andriy MnihResearch Scientist at DeepMindVerified email at cs.toronto.edu
George TuckerGoogle BrainVerified email at google.com
Dieterich LawsonStanford UniversityVerified email at stanford.edu
Daniel TarlowResearch Scientist, Google Brain - MontrealVerified email at cs.toronto.edu
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
Nicolas HeessDeepMindVerified email at google.com
Tom MinkaPrincipal Researcher, Microsoft Research, Cambridge UKVerified email at microsoft.com
Marta GarneloResearch Scientist at DeepMind, PhD student at Imperial College LondonVerified email at google.com
Danilo Jimenez RezendeSenior Staff Research Scientist at DeepMindVerified email at google.com
Roger GrosseAssistant Professor, University of TorontoVerified email at cs.toronto.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Brendan O'DonoghueStanford University, DeepMindVerified email at alumni.stanford.edu
Daniel PaulinLecturer of Statistics and Data Science, University of EdinburghVerified email at ed.ac.uk
Emile MathieuPhD student in Statistics, University of OxfordVerified email at stats.ox.ac.uk

Chris J. Maddison

University of Toronto

Verified email at cs.toronto.edu - Homepage

Machine Learning Bayesian Inference Optimization Monte Carlo Methods


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Mastering the game of Go with deep neural networks and tree search D Silver, A Huang, CJ Maddison, A Guez, L Sifre, G Van Den Driessche, ... Nature 529 (7587), 484, 2016	9423	2016
The concrete distribution: A continuous relaxation of discrete random variables CJ Maddison, A Mnih, YW Teh ICLR, 2017	1098	2017
Rebar: Low-variance, unbiased gradient estimates for discrete latent variable models G Tucker, A Mnih, CJ Maddison, J Lawson, J Sohl-Dickstein NeurIPS, 2017	192	2017
A* sampling CJ Maddison, D Tarlow, T Minka NeurIPS, Best Paper Award, 2014	191	2014
Conditional neural processes M Garnelo, D Rosenbaum, CJ Maddison, T Ramalho, D Saxton, ... ICML, 2018	186	2018
Move Evaluation in Go Using Deep Convolutional Neural Networks CJ Maddison, A Huang, I Sutskever, D Silver ICLR, 2015	153	2015
Structured generative models of natural source code CJ Maddison, D Tarlow ICML, 2014	129	2014
Filtering variational objectives CJ Maddison, J Lawson, G Tucker, N Heess, M Norouzi, A Mnih, A Doucet, ... NeurIPS, 2017	110	2017
Tighter variational bounds are not necessarily better T Rainforth, AR Kosiorek, TA Le, CJ Maddison, M Igl, F Wood, YW Teh ICML, 2018	106	2018
Rapid and widespread effects of 17β-estradiol on intracellular signaling in the male songbird brain: a seasonal comparison SA Heimovics, NH Prior, CJ Maddison, KK Soma Endocrinology 153 (3), 1364-1376, 2012	54	2012
Doubly reparameterized gradient estimators for Monte Carlo objectives G Tucker, D Lawson, S Gu, CJ Maddison ICLR, 2018	44	2018
Annealing between distributions by averaging moments RB Grosse, CJ Maddison, RR Salakhutdinov NeurIPS, 2013	39	2013
On empirical comparisons of optimizers for deep learning D Choi, CJ Shallue, Z Nado, J Lee, CJ Maddison, GE Dahl arXiv preprint arXiv:1910.05446, 2019	31	2019
Hamiltonian descent methods CJ Maddison, D Paulin, YW Teh, B O'Donoghue, A Doucet arXiv preprint arXiv:1809.05042, 2018	30	2018
Hierarchical Representations with Poincar\'e Variational Auto-Encoders E Mathieu, CL Lan, CJ Maddison, R Tomioka, YW Teh NeurIPS, 2019	25*	2019
Soft song during aggressive interactions: seasonal changes and endocrine correlates in song sparrows CJ Maddison, RC Anderson, NH Prior, MD Taves, KK Soma Hormones and Behavior 62 (4), 455-463, 2012	21	2012
Particle Value Functions CJ Maddison, D Lawson, G Tucker, N Heess, A Doucet, A Mnih, YW Teh Deep Structured Prediction Workshop, ICLR, 2017	13	2017
Twisted variational sequential monte carlo D Lawson, G Tucker, CA Naesseth, CJ Maddison, RP Adams, YW Teh Third workshop on Bayesian Deep Learning (NeurIPS), 2018	10	2018
Poisson process model for Monte Carlo CJ Maddison Perturbation, Optimization, and Statistics, 2016	7	2016
Hamiltonian descent for composite objectives B O'Donoghue, CJ Maddison NeurIPS, 2019	4	2019

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