65 citations · 107 across the 7 of their papers we have counts for
4 papers · 1 filter
Fully Variational Noise-Contrastive Estimation
Christopher Zach
By using the underlying theory of proper scoring rules, we design a family of noise-contrastive estimation (NCE) methods that are tractable for latent variable models. Both terms i…
Bilevel Programs Meet Deep Learning: A Unifying View on Inference Learning Methods
Christopher Zach
In this work we unify a number of inference learning methods, that are proposed in the literature as alternative training algorithms to the ones based on regular error back-propaga…
Lifted Regression/Reconstruction Networks
Rasmus Kjær Høier, Christopher Zach
In this work we propose lifted regression/reconstruction networks (LRRNs), which combine lifted neural networks with a guaranteed Lipschitz continuity property for the output layer…
Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning
Christopher Zach, Huu Le
Optimization problems with an auxiliary latent variable structure in addition to the main model parameters occur frequently in computer vision and machine learning. The additional…