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stat.ML2020
Adaptive Experience Selection for Policy Gradient
Saad Mohamad, Giovanni Montana
Policy gradient reinforcement learning (RL) algorithms have achieved impressive performance in challenging learning tasks such as continuous control, but suffer from high sample co…
stat.ML2019
Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data
Saad Mohamad, Abdelhamid Bouchachia
Non-intrusive load monitoring (NILM) aims at separating a whole-home energy signal into its appliance components. Such method can be harnessed to provide various services to better…
stat.ML2018
Asynchronous Stochastic Variational Inference
Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed-Mouchaweh
Stochastic variational inference (SVI) employs stochastic optimization to scale up Bayesian computation to massive data. Since SVI is at its core a stochastic gradient-based algori…