Program Chairs

Lise Getoor
	University of Maryland

Tobias Scheffer
	University of Potsdam

Area Chairs

Yasemin Altun
	Max Planck Institute for Biological Cybernetics
	Semi-supervised Learning
Xiaojin Zhu
	University of Wisconsin-Madison
	Semi-supervised Learning
Ulf Brefeld
	Yahoo! Research
	Structured Output Prediction
Thorsten Joachims
	Cornell University
	Structured Output Prediction
Thomas Gaertner
	University of Bonn & Fraunhofer IAIS
	Graph Mining
Stefan Wrobel
	Fraunhofer IAIS
	Data Streams
Shie Mannor
	Technion
	Reinforcement Learning
Shai Shalev-Schwartz
	Hebrew University of Jerusalem
	Optimization Algorithms
Sathiya Keerthi
	Yahoo! Research
	Optimization Algorithms
Sally Goldman
	Washington University
	Learning theory
Ruslan Salakhutdinov
	University of Toronto
	Neural networks, Deep Learning
Olivier Chapelle
	Yahoo! Research
	Applications
Nathan Srebro
	University of Chicago
	Statistical Methods
Dale Schuurmans
	University of Alberta
	Unsupervised Learning and Outlier Detection
Csaba Szepesvari
	University of Alberta
	Partially observable Markov Decision Processes
Corinna Cortes
	Google
	Kernel Methods
Charles Elkan
	UC San Diego
	Cost-sensitive Learning
Carla Brodley
	Tufts University
	Active Learning
Bernhard Pfahringer
	University of Waikato
	Empirical Insights into ML
Ben Taskar
	University of Pennsylvania
	Supervised Learning
Arthur Gretton
	Max Planck Institute for Biological Cybernetics
	Causal Inference
Alexandru Niculescu-Mizil
	NEC Labs America
	Time-series analysis

Michelle Sebag
	Universite Paris Sud
	Evolutionary Computation
Mattias Seeger
	University of Saarland
	Gaussian Processes
Martin Zinkevich
	University of Alberta
	Game Theory
Kurt Driessens
	KU Leuven
	Reinforcement Learning
Kristian Kersting
	Fraunhofer IAIS and Univeristy of Bonn
	Statistical Relational Learning
Kiri Wagstaff
	JPL, Caltech
	Clustering
Kilian Weinberger
	Washington University in St Louis
	Transfer and multi-task learning
Katharina Morik
	University of Dortmund
	Feature selection and dimensionality reduction
Kai Yu
	NEC Labs
	Bayesian inference
John Langford
	Yahoo! Research
	Active Learning
Johannes Fuernkranz
	University of Darmstadt
	Ranking and preference learning
Joelle Pineau
	McGill University
	Reinforcement Learning
Jennifer Neville
	Purdue University
	Social Network Analysis
Hal Daume III
	University of Maryland
	Natural Language Processing
Guy Lebanon
	Georgia Tech
	Geometric Approaches
Francis Bach
	INRIA
	Sparsity and Compressed Sensing
Filip Radlinski
	Microsoft Research, Cambridge
	Information Retrieval
Fei Sha
	University of Southern California
	Feature Selection & Dimensionality Reduction
Eric Xing
	Carnegie-Mellon University
	Graph-Based Learning Methods
David McAllester
	Toyota Tech Institute Chicago
	Structured Output Prediction
David Blei
	Princeton University
	Latent Variable and Topic Models