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stat.ML2021
Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning
Víctor Gallego
The rampant adoption of ML methodologies has revealed that models are usually adopted to make decisions without taking into account the uncertainties in their predictions. More cri…
stat.ML2018
Stochastic Gradient MCMC with Repulsive Forces
Victor Gallego, David Rios Insua
We propose a unifying view of two different Bayesian inference algorithms, Stochastic Gradient Markov Chain Monte Carlo (SG-MCMC) and Stein Variational Gradient Descent (SVGD), lea…