Predicting Conditional Quantiles via Reduction to Classification John Langford Toyota Technological Institute 1427 E 60th Street Chicago, IL 60637

Source URL: hunch.net

Machine Learning Techniques—Reductions Between Prediction Quality Metrics Alina Beygelzimer and John Langford and Bianca Zadrozny Abstract Machine learning involves optimizing a loss function on unlabeled data points g

Source URL: hunch.net

An Objective Evaluation Criterion for Clustering Arindam Banerjee John Langford Dept of ECE

Source URL: hunch.net

• Machine learning
• Statistics
• Computational statistics
• Learning
• Cluster analysis
• Data mining
• Geostatistics
• K-means clustering
• Pattern recognition
• Statistical classification
• Balanced clustering
• Biclustering

Tutorial on Pra ti al Predi tion Theory for Classi ation John Langford jlhun h.net Toyota Te hnologi al Institute at Chi ago

Source URL: hunch.net

• Probability distributions
• Binomial distribution
• Normal distribution
• Generalization error
• Uniform distribution
• Limit of a function
• KullbackLeibler divergence

Graph approximations to geodesics on embedded manifolds Mira Bernstein, Vin de Silva, John C. Langford, Joshua B. Tenenbaum∗ December 20, 2000

Source URL: pages.pomona.edu

Relating Reinforcement Learning Performance to Classification Performance John Langford TTI-Chicago, 1427 E 60th Street, Chicago, ILUSA

Source URL: hunch.net

Advances in Structured Prediction John Langford Microsoft Research

Source URL: icml.cc

• Structured prediction
• Muoz
• Mod

3 Fun Machine Learning Problems for Big Data John Langford (Yahoo! → Microsoft) STOC Workshop on Big Data and Streaming Algorithms, May 19, 2012

Source URL: people.cs.umass.edu

Active Learning via Reduction To Supervised Classification John Langford (Yahoo! Research) with Alina Beygelzimer (IBM Research) Sanjoy Dasgupta (UCSD) Daniel Hsu (Rutgers & Upenn)

Source URL: hunch.net

• Machine learning
• Active learning
• Semi-supervised learning
• Draft:Active Learning