Event: Conferences » Other » 28th Annual Conference on Learning Theory (COLT), Paris 2015 28th Annual Conference on Learning Theory (COLT), Paris 2015

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COLT 2015 - Paris   

28th Annual Conference on Learning Theory (COLT), Paris 2015

Learning Theory is a research field devoted to studying the design and analysis of machine learning algorithms. In particular, such algorithms aim at making accurate predictions or representations based on observations.

The emphasis in COLT is on rigorous mathematical analysis using techniques from various connected fields such as probability, statistics, optimization, information theory and geometry. While theoretically rooted, learning theory puts a strong emphasis on efficient computation as well.

For more information visit the COLT 2015 website.


Invited Talks

Computational Learning

[syn]  2488 views, 19:42  
flagCortical Learning via PredictionCortical Learning via Prediction
Christos H. Papadimitriou Christos H. Papadimitriou
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Optimization I

On-Line Learning & Bandits I


Unsupervised Learning

Optimization, Online Learning, Loss Functions

Estimation, Generative Models

On-Line Learning & Bandits II

Open Problems Session

Probabilistic Models and Reinforcement Learning


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