24 citations · 120 across the 27 of their papers we have counts for
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cs.LG2019★ 1 cited
Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs
Victor Gallego, David Rios Insua
A framework to boost the efficiency of Bayesian inference in probabilistic programs is introduced by embedding a sampler inside a variational posterior approximation. We call it th…
cs.LG2019★ 7 cited
Opponent Aware Reinforcement Learning
Victor Gallego, Roi Naveiro, David Rios Insua +1
In certain reinforcement learning (RL) scenarios there are adversaries trying to interfere with the underlying reward process for their own benefit. We introduce Threatened Markov…