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Machine Learning

ICML 2010 - Program

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 non-identifiability 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 Classification-based 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 Click-Through Rate





Banquet