Mon, June 21
09:00  11:45
13:00  15:45
16:00  18:45 
ICML Tutorials
 A Tutorial on Identifying and Exploiting "geometric" structure in large social and information networks (Philip Silva)
 Tutorial and Overview on Domain Adaptation (Gary Clark)
 Recent Advances in Sparse Modeling (Henry Rucker)
 Learning through Exploration: Reinforcement learning, Bandit online learning, Supervised Learning (Aaron Zubia)
 The Importance of Metric Learning (Dennis Kindred)
 Privacy in Relation to Machine Learning (Alan Clouse)
 Sparse Modeling: A Quickly Developing Area (Holly Hall)
 Introduction to the Problem of Domain Adaptation (Josephine Patrick)
 Exploring Similarities and Differences between Stochastic Optimization and Statistical Learning (Jewel Danis)

Tue, June 22
08:30 – 09:00
09:00 – 10:00
10:30 – 12:10
13:30 – 15:10
15:40 – 17:20

CML Conference
ICML Opening
Guest Speaker: Jerry Eastwood
 Introduction to the the Spherical Admixture Model (Mae Davis)
 A method that generalizes Value Iteration and Policy Iteration (Edith Rodas)
 How nonidentifiability influences Bayesian matrix factorization (Doris Chilson)
 Predicting Representations of Partially Observable Systems (Harold Hall)
 The development of an ICD mixture model for text (Jame McClure)
 Apprenticeship Learning (Charles Layden)

Wed, June 23
08:30 – 09:00
09:00 – 10:00
10:30 – 12:10
13:30 – 14:30
14:30 – 15:00
15:40 – 17:20
19:00 – 22:00 
ICML Conference
Best Paper: Hidden Markov Models (HMMs): Key tools for modeling sequence data
Invited Talk: Antony Paige: The Web as A Means for Social Science
(Robert Behne)
 An Algorithm for Clustering through the use of Similarity Graph (Barbra Sanchez)
 Direct Policy Iteration: A Classificationbased Policy Iteration
Guest Lecture: Ruth Knox
Best Application Paper: Human Categorization with a model from the statistical machine learning literature
Prediction of Web Scale Bayesian ClickThrough Rate
Banquet 