Efficient Second-Order Gradient Boosting for Conditional Random Fields Tianqi Chen Sameer Singh Ben Taskar

Source URL: sameersingh.org

• Mathematical analysis
• Machine learning
• Mathematics
• Functional analysis
• Ensemble learning
• Conditional random field
• Distribution
• Gradient boosting
• LogitBoost
• Convolution
• Characteristic function

Fast Prediction of New Feature Utility Hoyt Koepke Department of Statistics University of Washington Seattle, WAMikhail Bilenko Microsoft Research, Redmond, WA 12345

Source URL: arxiv.org

• Mathematical analysis
• Statistics
• Gradient descent
• Loss function
• Analysis
• Spectral theory
• Operator theory
• Ordinary differential equations
• Lambda calculus

Volume), Number 0 pp. 1–20 COMPUTER GRAPHICS forum A Survey of Procedural Noise Functions A. Lagae1,2 S. Lefebvre2,3 R. Cook4 T. DeRose4 G. Drettakis2 D.S. Ebert5 J.P. Lewis6 K. Perlin7 M. Zwicker8

Source URL: people.cs.kuleuven.be

• Noise
• Mathematical analysis
• Signal processing
• Sound
• Value noise
• Gradient noise
• Perlin noise
• Pink noise
• White noise
• Colors of noise
• Spectral density estimation
• Procedural texture

Arch. Rational Mech. Anal–246 Digital Object Identifier (DOIs002050200189 Gradient Systems with Wiggly Energies and Related Averaging Problems Govind Menon

Source URL: www.dam.brown.edu

• Mathematical analysis
• Vector calculus
• Mathematics
• Limit of a function
• Laws of science
• Vector field
• Analysis
• Complex analysis

Differential Semblance Migration Velocity Analysis via Reverse Time Migration: Gradient Computation Chao Wang The Rice Inversion Project Rice University

Source URL: trip.rice.edu

PCA-enhanced stochastic optimization methods Alina Kuznetsova, Gerard Pons-Moll, and Bodo Rosenhahn⋆ Institute for Information Processing (TNT), Leibniz University Hanover, Germany {kuznetso,pons,rosenhahn}@tnt.uni-han

Source URL: www.tnt.uni-hannover.de

• Statistics
• Applied mathematics
• Numerical analysis
• Metaheuristics
• Computational statistics
• Monte Carlo methods
• Estimation theory
• Statistical mechanics
• Mathematical optimization
• Simulated annealing
• Stochastic optimization
• Gradient descent

CS168: The Modern Algorithmic Toolbox Lecture #15: Gradient Descent Basics Tim Roughgarden & Gregory Valiant May 18,

Source URL: web.stanford.edu

• Numerical analysis
• Mathematical analysis
• Mathematical optimization
• Convex analysis
• Operations research
• Convex optimization
• Gradient descent
• Derivative
• Convex function
• Linear programming
• Gradient boosting
• FrankWolfe algorithm

Experimental and Theoretical Analysis of the Induced Voltage along Implant Leads due to Gradient Fields E. A. Turk1, E. Kopanoglu1, Y. Eryaman1, V. B. Erturk1, and E. Atalar1 1 Bilkent University, Ankara, Turkey Introduc

Source URL: www.cmrre.umn.edu

Smoothed Gradients for Stochastic Variational Inference David Blei Department of Computer Science Department of Statistics Columbia University

Source URL: papers.nips.cc

• Statistics
• Mathematical analysis
• Statistical theory
• Stochastic optimization
• Computational statistics
• Estimation theory
• M-estimators
• Stochastic gradient descent
• Bias of an estimator
• Mathematical optimization
• Variational Bayesian methods
• Biasvariance tradeoff

Optimizing Neural Networks with Kronecker-factored Approximate Curvature James Martens Roger Grosse Department of Computer Science, University of Toronto

Source URL: www.cs.toronto.edu

• Estimation theory
• Neural networks
• Matrices
• Computational neuroscience
• Differential calculus
• Fisher information
• Maximum likelihood
• Gradient
• Linear map
• Mathematics
• Mathematical analysis
• Calculus