200 citations · 311 across the 21 of their papers we have counts for
4 papers · 1 filter
Progressive Batching for Efficient Non-linear Least Squares
Huu Le, Christopher Zach, Edward Rosten +1
Non-linear least squares solvers are used across a broad range of offline and real-time model fitting problems. Most improvements of the basic Gauss-Newton algorithm tackle converg…
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…
A Graduated Filter Method for Large Scale Robust Estimation
Huu Le, Christopher Zach
Due to the highly non-convex nature of large-scale robust parameter estimation, avoiding poor local minima is challenging in real-world applications where input data is contaminate…
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…