Technical Program

Paper Detail

Note: All times are in Pacific Daylight Time (UTC -7)
Paper: D-14.1
Paper Title:  Decentralized Black-Box Variational Inference for Bayesian Learning on Sensor Networks
Authors:  Jose Cadena, Priyadip Ray, Ryan Goldhahn, Lawrence Livermore National Laboratory, United States
Session: Machine Learning II
Location: Room 3
Presentation Time: Monday, November 01, 09:45 - 11:15
Virtual Presentation:   Attend on Virtual Platform
Presentation:  Virtual
Topic:  Adaptive Systems, Machine Learning, Data Analytics: Estimation and Inferences