TH2.R1.3

Log-Concave Coupling for Sampling Neural Net Posteriors

Curtis McDonald, Andrew Barron, Yale University, United States
Session:
Sampling and Samplers
Track:
8: Machine Learning
Location:
Ballroom II & III
Presentation Time:
Thu, 11 Jul, 12:10 - 12:30
Session Chair:
Stefano Rini, National Yang Ming Chiao Tung University
Presentation
Not logged in.
Discussion
Not logged in.
Session TH2.R1
TH2.R1.1: Boundary Multiple Measurement Vectors for Multi-Coset Sampler
Dong Xiao, Yun Lin, Harbin Engineering University, China; Jian Wang, Fudan University, China
TH2.R1.2: On the Generalized Sampling Expansion (GSE) for Graph Signals
Reeteswar Rajguru, IIT Kharagpur, India; Balaji Udayagiri, Independent Researcher, India; Amitalok J. Budkuley, IIT Kharagpur, India; Stefano Rini, NYCU Taiwan, Taiwan
TH2.R1.3: Log-Concave Coupling for Sampling Neural Net Posteriors
Curtis McDonald, Andrew Barron, Yale University, United States
TH2.R1.4: Towards Optimal Inverse Temperature in the Gibbs Algorithm
Yuheng Bu, University of Florida, United States
Resources
No resources available.