Indo-US Symposium on New Directions in Machine Learning, Game Theory, and Optimization

Oct 13, 2014

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Indo-US Symposium on New Directions in Machine Learning, Game Theory, and Optimization Bangalore, November 12-13, 2010. Indo-US Symposium on New Directions in Machine Learning, Game Theory, and Optimization Bangalore, November 12-13, 2010. Acknowledgments. Student Volunteers

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Indo-US Symposium on New Directions in Machine Learning, Game Theory, and Optimization

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Indo-US Symposium on New Directions in Machine Learning, Game Theory, and Optimization Bangalore, November 12-13, 2010
Indo-US Symposium on New Directions in Machine Learning, Game Theory, and Optimization Bangalore, November 12-13, 2010 Acknowledgments Student Volunteers Goutham Tholpadi Mrinal Kanti Das Harish G Prasad Arunachalam Vikram Tankasali Ankur Pandey Govind Sharma Swaprava Nath Rohith D Vallam CSA Magician T Shankar CSA Office Staff Lalitha Suguna Meenakshi Indo-US Science & Technology Forum

Connections between Learning Theory, Game Theory, and Optimization

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New Horizons in Machine Learning

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Online Learning + Game Theory

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Connections between Learning Theory, Game Theory, and Optimization

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676 views • 39 slides

Machine Learning Theory

Machine Learning Theory. Plan for today: - problem of “combining expert advice” - course retrospective and open questions. Maria Florina Balcan 04/29/10. Using “expert” advice. Say we want to predict the stock market.

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Connections between Learning Theory, Game Theory, and Optimization

Connections between Learning Theory, Game Theory, and Optimization. Lecture 3, August 31 st 2010. Maria Florina (Nina) Balcan. Experts Learning and The Minimax Theorem for Zero-Sum Games. Motivation. Many situations involve repeated decision making.

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Connections between Learning Theory, Game Theory, and Optimization

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Machine Learning Theory

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Robust Optimization and Applications in Machine Learning

Robust Optimization and Applications in Machine Learning. Part 4: Sparsity in Unsupervised Learning. Unsupervised learning. Sparse PCA: outline. Principal Component Analysis. PCA for visualization. First principal component. Sparse PCA: outline. Why sparse factors?. PCA: rank-one case.

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Connections between Learning Theory, Game Theory, and Optimization

Connections between Learning Theory, Game Theory, and Optimization. Lecture 2, August 26 th 2010. Maria Florina (Nina) Balcan. Admin. http://www.cc.gatech.edu/~ninamf/LGO10/. Course web page: 3 hwk assignments. Exercises/problems (pencil-and-paper problem-solving variety).

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