Variance Approximation in Large-Scale Gaussian Markov Random Fields
Factor Graphs for Fast and Scalable 3D Reconstruction and Mapping
Hierarchical preconditioners for image processing applications
The Use of Randomization and Statistical Significance in Data Mining
Lecture 14: Methods (Truncated Newton Method)
Chordal Sparsity in Semidefinite Programming and Machine Learning
Gaussian Processes and Fast Matrix-Vector Multiplies
Lecture 13: Recap: Conjugate Gradient Method
Inexact Search Directions in Interior Point Methods for Large Scale Optimization
Monte Carlo Simulation for Statistical Inference, Model Selection and Decision Making