21 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Goal Agnostic Planning using Maximum Likelihood Paths in Hypergraph World Models
Christopher Robinson
In this paper, we present a hypergraph--based machine learning algorithm, a datastructure--driven maintenance method, and a planning algorithm based on a probabilistic application…
cs.AI2020★ 21 cited
Causal datasheet: An approximate guide to practically assess Bayesian networks in the real world
Bradley Butcher, Vincent S. Huang, Jeremy Reffin +3
In solving real-world problems like changing healthcare-seeking behaviors, designing interventions to improve downstream outcomes requires an understanding of the causal links with…
cs.LG2019
Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
Artyom Gadetsky, Kirill Struminsky, Christopher Robinson +2
Learning models with discrete latent variables using stochastic gradient descent remains a challenge due to the high variance of gradient estimates. Modern variance reduction techn…