Regularization of Neural Networks using DropConnect Li Wan Matthew Zeiler

Source URL: www.matthewzeiler.com

REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs Peter L. Bartlett Computer Science Division, and Department of Statistics

Source URL: www.stat.berkeley.edu

Local High-order Regularization on Data Manifolds Kwang In Kim Lancaster University James Tompkin Harvard SEAS

Source URL: people.mpi-inf.mpg.de

Matrix regularization techniques for online multitask learning Alekh Agarwal Alexander Rakhlin Peter Bartlett

Source URL: www.eecs.berkeley.edu

Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment Fatih Uzdilli Martin Jaggi

Source URL: www.m8j.net

Lecture Notes on Online Learning DRAFT Alexander Rakhlin —– These lecture notes contain material presented in the Statistical Learning Theory course at UC Berkeley, Spring’08.

Source URL: stat.wharton.upenn.edu

• Machine learning
• Learning
• Analysis
• Artificial intelligence
• Mathematical analysis
• Inverse problems
• Statistical classification
• Convex optimization
• Support vector machine
• Mathematical optimization
• Regularization
• Statistical learning theory

CS229 Lecture notes Andrew Ng Part VII Regularization and model

Source URL: cs229.stanford.edu

Semi-supervised Learning with Explicit Relationship Regularization Kwang In Kim Lancaster University James Tompkin Harvard SEAS

Source URL: people.mpi-inf.mpg.de

Feature selection, L1 vs. L2 regularization, and rotational invariance Andrew Ng ICML 2004 Presented by Paul Hammon

Source URL: cseweb.ucsd.edu

Journal of Machine Learning Research1890 Submitted 12/10; Revised 10/11; Published 6/12 Regularization Techniques for Learning with Matrices Sham M. Kakade

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

• Mathematical analysis
• Mathematical optimization
• Mathematics
• Convex analysis
• Convex function
• Bregman divergence
• Convex conjugate
• Lp space
• Convex optimization
• Online machine learning
• Norm
• Multiple kernel learning