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[[Computing|The History and Ramifications of Computing]] | [[Computing|The History and Ramifications of Computing]] | ||
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| + | [[WebAlgos| Algorithms on the Web]] | ||
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| + | [[P vs NP| On P vs NP]] | ||
=Seminars= | =Seminars= | ||
| - | * [[Algorithms Seminar]] (administered by Suresh) | + | * [[AFLB]] |
| + | * [[Algorithms Seminar/Fall11|Algorithms Seminar]] (administered by Suresh) | ||
| + | ** '''Fall 2011''': [[Algorithms Seminar/Fall11|Heuristic algorithm design strategies]] | ||
| + | ** '''Fall 2010''': [[Algorithms Seminar/Fall10|Modelling Data with Uncertainty]] | ||
| + | ** '''Spring 2010''': [[Algorithms Seminar/Spring10|Topics in Graph Algorithms]] | ||
| + | ** '''Fall 2009''': [[Algorithms Seminar/Fall09|Approximation Algorithms]] | ||
| + | ** '''Spring 2009''': [[Algorithms Seminar/Spring09|Clustering]] | ||
** '''Fall 2008''': [[Algorithms Seminar|Randomization]] | ** '''Fall 2008''': [[Algorithms Seminar|Randomization]] | ||
** '''Spring 2008''': [[Algorithms Seminar/Spring08|The Geometry of Information Spaces]] | ** '''Spring 2008''': [[Algorithms Seminar/Spring08|The Geometry of Information Spaces]] | ||
** '''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]] | + | * [[MLRG|Machine Learning Reading Group]] |
| + | ** [[MLRG/fall10|Fall 2010]] : Semisupervised Learning and Active Learning | ||
| + | ** [[MLRG/spring10|Spring 2010]] : Structured Prediction | ||
| + | ** [[MLRG/fall09|Fall 2009]] : Online Learning | ||
| + | ** [[MLRG/spring09|Spring 2009]] : Computational Learning Theory | ||
| + | ** [[MLRG/fall08|Fall 2008]] : Inference in Graphical Models | ||
** [[MLRG/summer08|Summer 2008]]: Multitask learning | ** [[MLRG/summer08|Summer 2008]]: Multitask learning | ||
** [[MLRG/spring08|Spring 2008]]: Kernel Methods | ** [[MLRG/spring08|Spring 2008]]: Kernel Methods | ||
Latest revision as of 18:07, 18 August 2011
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 2011: Heuristic algorithm design strategies
- 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
- 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.
