1k citations · 1.1k across the 3 of their papers we have counts for
3 papers
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison, Andriy Mnih, Yee Whye Teh
The reparameterization trick enables optimizing large scale stochastic computation graphs via gradient descent. The essence of the trick is to refactor each stochastic node into a…
Move Evaluation in Go Using Deep Convolutional Neural Networks
Chris J. Maddison, Aja Huang, Ilya Sutskever +1
The game of Go is more challenging than other board games, due to the difficulty of constructing a position or move evaluation function. In this paper we investigate whether deep c…
A* Sampling
Chris J. Maddison, Daniel Tarlow, Tom Minka
The problem of drawing samples from a discrete distribution can be converted into a discrete optimization problem. In this work, we show how sampling from a continuous distribution…