139 citations · 410 across the 19 of their papers we have counts for
3 papers · 1 filter
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing
Andre Manoel, Florent Krzakala, Eric W. Tramel +1
In statistical learning for real-world large-scale data problems, one must often resort to "streaming" algorithms which operate sequentially on small batches of data. In this work,…
A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines
Eric W. Tramel, Marylou Gabrié, Andre Manoel +2
Restricted Boltzmann machines (RBMs) are energy-based neural-networks which are commonly used as the building blocks for deep architectures neural architectures. In this work, we d…
Multi-Layer Generalized Linear Estimation
Andre Manoel, Florent Krzakala, Marc Mézard +1
We consider the problem of reconstructing a signal from multi-layered (possibly) non-linear measurements. Using non-rigorous but standard methods from statistical physics we presen…