December 3 

CALD Seminar scheduled.
To be held from 12:302:00pm in NSH 3305. (With Pizza)
Kevin Kelly (CMU),
Ockham's Razor Deduced from Error Minimization

November 26 

Drew Bagnell,
Integrating Scope into Learning with Application to Information Extraction
Aaron Courville,
Modeling Temporal Structure in Classical Conditioning
This seminar took place in Wean Hall 7220 at 1:30 pm

November 19 

Vandi Verma,
Risk Sensitive Particle Filters,
Paper
Guy Lebanon,
Boosting and Maximum Likelihood for Exponential Models,
Tech Report

November 12 

John Langford,
Provable Learning,
Slides

November 5 

Geoff Gordon,
Variations on a Particle Filter,
Slides

September 24 

ICML / KDD / COLT Review Session, Shuchi Chawla, John Langford, Ricardo Silva, and Martin Zinkevich presented

July 23 

Douglas Aberdeen (Australian National University),
Gradient Reinforcement Learning of POMDP Policy Graphs,
Slides

July 16 

Peter Venable,
Lynx: Building a Statistical Parser from a RuleBased Parser

June 26 

Dan Pelleg,
Mixtures of Rectangles: Interpretable Soft Clustering
Rayid Ghani,
Hypertext Categorization using Hyperlink Patterns and Meta Data

June 4 

Chuck Rosenberg,
Color Constancy Using KLDivergence

March 26 

Bryan Singer,
Learning to Generate Fast Signal Processing Implementations,
Slides

March 19 

Andrew McCallum,
Efficient Clustering of HighDimensional Data Sets with Application to Reference Matching

March 12 

John Langford,
The Usefulness of Sample Complexity Bounds,
Slides

February 19 

Malcolm Strens,
Reinforcement Learning Methods for Military Applications,
Slides,
ppt slides

February 12 

Frank Dellaert,
Structure from Motion without Correspondence,
Slides,
ppt slides

February 5 

NIPS Review, Geoff Gordon, Joelle Pineau, John Langford, and Tom Minka made presentations and here are their Slides.

January 24 

Faculty Candidate talk scheduled.
Sam T. Roweis (University College of London),
Scalable Learning of Nonlinear Manifolds from Data

January 22 

CALD Seminar scheduled.
Thorsten Joachims (GMD),
The MaximumMargin Approach to Learning Text Classifiers

January 15 

SCS Distinguished Seminar scheduled.
Steve Smale
(City University of Hong Kong),
On the Mathematical Foundations of Learning Theory
