Nearest Neighbor based Greedy Coordinate Descent Pradeep Ravikumar Department of Computer Science University of Texas at Austin

Source URL: dept.stat.lsa.umich.edu

A Lower Bound for the Optimization of Finite Sums Alekh Agarwal Microsoft Research NYC, New York, NY. ALEKHA @ MICROSOFT. COM

Source URL: jmlr.org

• Mathematical optimization
• Operations research
• Convex analysis
• Convex optimization
• Gradient descent
• Big O notation
• Regularized least squares
• Random coordinate descent
• Online machine learning

Feature Clustering for Accelerating Parallel Coordinate Descent Chad Scherrer Independent Consultant Yakima, WA

Source URL: dept.stat.lsa.umich.edu

• Mathematics
• Numerical analysis
• Algebra
• Statistical classification
• Data mining
• Linear algebra
• Greedy algorithm
• Matroid theory
• Support vector machine
• Cluster analysis
• Algorithm
• Regularized least squares

Tree Block Coordinate Descent for MAP in Graphical Models David Sontag Tommi Jaakkola Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology

Source URL: cs.nyu.edu

Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization Paul Tseng Presenter: Lei Tang Department of CSE Arizona State University

Source URL: leitang.net

An Asynchronous Parallel Stochastic Coordinate Descent Algorithm Ji Liu† JI - LIU @ CS . WISC . EDU Stephen J. Wright† SWRIGHT @ CS . WISC . EDU

Source URL: www.jmlr.org

Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression 1 Liefeng Bo1 Toyota Technological Institute at Chicago

Source URL: uai2008.cs.helsinki.fi

One coordinate at a time • Adaboost performs gradient descent on exponential loss • Adds one coordinate (“weak learner”) at each iteration. • Weak learning in binary classification = slightly better than random

Source URL: seed.ucsd.edu

A Coordinate Gradient Descent Method for Sparse Optimization with `1 Regularization a a a a

Source URL: newton.kias.re.kr

A Coordinate Gradient Descent Method for Linearly Constrained Nonsmooth Optimization and Support Vector Machines Sangwoon Yun Mathematics, University of Washington Seattle, WA, USA

Source URL: newton.kias.re.kr