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** '''Fall 2007''': [[Algorithms Seminar/Fall07|Approximate High Dimensional Data Analysis]] | ** '''Fall 2007''': [[Algorithms Seminar/Fall07|Approximate High Dimensional Data Analysis]] | ||
* [[MLRG|Machine Learning Reading Group]] (administered by Hal Daume) | * [[MLRG|Machine Learning Reading Group]] (administered by Hal Daume) | ||
| + | ** [[MLRG/fall10|Fall 2010]] : Semisupervised Learning and Active Learning | ||
| + | ** [[MLRG/spring10|Spring 2010]] : Structured Prediction | ||
** [[MLRG/fall09|Fall 2009]] : Online Learning | ** [[MLRG/fall09|Fall 2009]] : Online Learning | ||
** [[MLRG/spring09|Spring 2009]] : Computational Learning Theory | ** [[MLRG/spring09|Spring 2009]] : Computational Learning Theory | ||
Revision as of 21:48, 26 August 2010
Courses
Computational Geometry (spring 2007)
Algorithms (fall 2007)
Complexity (whenever)
Randomization (fall 2008)
The History and Ramifications of Computing
Seminars
- AFLB
- Algorithms Seminar (administered by Suresh)
- Fall 2010: Modelling Data with Uncertainty
- Spring 2010: Topics in Graph Algorithms
- Fall 2009: Approximation Algorithms
- Spring 2009: Clustering
- Fall 2008: Randomization
- Spring 2008: The Geometry of Information Spaces
- Fall 2007: Approximate High Dimensional Data Analysis
- Machine Learning Reading Group (administered by Hal Daume)
- Fall 2010 : Semisupervised Learning and Active Learning
- Spring 2010 : Structured Prediction
- Fall 2009 : Online Learning
- Spring 2009 : Computational Learning Theory
- Fall 2008 : Inference in Graphical Models
- Summer 2008: Multitask learning
- Spring 2008: Kernel Methods
- Fall 2007: Unsupervised Bayesian methods
- Summer 2007: Manifold Learning
This wiki is maintained by Suresh Venkatasubramanian.
