2 citations · 4 across the 4 of their papers we have counts for
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stat.ML2019
Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization
Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates
We address the task of identifying densely connected subsets of multivariate Gaussian random variables within a graphical model framework. We propose two novel estimators based on…
stat.ML2018
GAN Q-learning
Thang Doan, Bogdan Mazoure, Clare Lyle
Distributional reinforcement learning (distributional RL) has seen empirical success in complex Markov Decision Processes (MDPs) in the setting of nonlinear function approximation.…
stat.ML2017★ 1 cited
Alpha-Divergences in Variational Dropout
Bogdan Mazoure, Riashat Islam
We investigate the use of alternative divergences to Kullback-Leibler (KL) in variational inference(VI), based on the Variational Dropout \cite{kingma2015}. Stochastic gradient var…