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Schedule, Notes/Handouts & Videos

Nonlinear Estimation and Classification March 19, 2001 - March 29, 2001

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Mar 19, 2001
Monday
08:00 AM - 05:00 PM
  Bayesian prediction using adaptive ridge estimators
David Denison
09:30 AM - 10:15 AM
  Gauss mixture vector quantization: Clustering Gauss mixtures with the minimum discrimination information distortion for modeling, compression, and classification
Robert Gray
10:15 AM - 11:15 AM
  Some experiments with ensemble methods for classification and conditional density estimation
Thomas Dietterich
11:15 AM - 02:00 PM
  Dilution priors for model uncertainty
Edward George
02:00 PM - 02:30 PM
  An ANOVA model for dependent random measures with an application to population models
Maria DeIorio
02:30 PM - 03:15 PM
  Aspects of stochastic simulation based inference for some mixtures of latent structures
Ernest Fokoue
03:15 PM - 03:45 PM
  Combining regression estimators under a fixed design
Yuhong Yang
03:45 PM - 04:15 PM
  Clustering by partial mixture estimation
David Scott (University of Puget Sound)
04:15 PM - 05:15 PM
  Model complexity and model priors
Angelika van der Linde
Mar 20, 2001
Tuesday
09:30 AM - 10:15 AM
  Optimal properties and adaptive tuning of support vector machines (SVM's)
Grace Wahba
10:15 AM - 11:15 AM
  Detecting a menstrual cycle signal in flourescence spectroscopy of the cervix
Dennis Cox
11:15 AM - 11:45 AM
  Adaptive kernels for SV classification
Robert Burbidge
11:45 AM - 12:15 PM
  Unsupervised sparse regression
Mario Figueiredo
12:15 PM - 01:15 PM
  Instability in nonlinear estimation and classification
Steven Ellis (Columbia University)
Mar 21, 2001
Wednesday
09:30 AM - 10:15 AM
  Extended linear modeling with splines
Charles Stone (University of California, Berkeley)
10:15 AM - 11:15 AM
  Bayesian approaches in nonparametric estimation problems
Linda Zhao
11:15 AM - 02:00 PM
  Information theoretic bounds for mixture modeling and model selection
Andrew Barron
02:00 PM - 02:30 PM
  Logspline density estimation with free-knot splines
Charles Kooperberg
02:30 PM - 03:15 PM
  Adaptive splines and genetic algorithms with an application to classification
Jennifer Pittman
03:15 PM - 03:45 PM
  Mixed-effects multivariate adaptive splines models: An automated procedure for fitting longitudinal data and growth curves
Heping Zhang
03:45 PM - 04:45 PM
  Bayesian mixture splines for spatially adaptive nonparametric regression
Sally Wood
Mar 22, 2001
Thursday
09:30 AM - 10:15 AM
  Variational inference for clustering and classification
Michael Jordan (University of California, Berkeley)
10:15 AM - 11:00 AM
  Modeling internet traffic
William Cleveland (Purdue University)
11:00 AM - 12:00 PM
  A simple model for a complex system: Predicting travel times on freeways
John Rice
02:00 PM - 02:30 PM
  Denoising deterministic time series
Andrew Nobel
02:30 PM - 03:00 PM
  A statistical approach to quantifying the predictability of noisy nonlinear systems
Barbara Bailey
03:15 PM - 03:45 PM
  Looking for nonlinearities in the large scale dynamics of the atmosphere
Claudia Tebaldi
03:45 PM - 04:15 PM
  Non-stationary, nonlinear classification and model selection
Nando DeFreitas
03:45 PM - 04:15 PM
  Non-stationary, nonlinear classification and model selection
Nando de Freitas
04:15 PM - 04:45 PM
  Semiparametric estimation of the long-memory parameter in FARIMA models
Ashis Gangopadhyay
Mar 23, 2001
Friday
09:30 AM - 10:15 AM
  Nonlinear estimation and classification: Challenges from genomics
Terence Speed (University of California, Berkeley)
10:15 AM - 11:15 AM
  The complex statistics of images
David Mumford (Brown University)
11:15 AM - 02:00 PM
  Interactions between data analysis of natural images, biological vision and mathematical analysis
David Donoho (Stanford University)
02:00 PM - 02:30 PM
  Bounding generalization error of aggregate classifiers through empirical margin distributions
Gilles Blanchard
02:30 PM - 03:15 PM
  Model selection for CART regression trees
Servane Gey
03:15 PM - 03:45 PM
  Nonlinear function learning and classification using optimal radial basis function networks
Adam Krzyzak
03:45 PM - 04:15 PM
  On adaptive estimation by neural nets type estimators
Ludger Ruschendorf
04:15 PM - 05:15 PM
  Fast rates and adaptation in nonparametric classification
Alexandre Tsybakov
Mar 26, 2001
Monday
09:30 AM - 10:15 AM
  Besov vs. Plato: Multiscale image modeling
Richard Baraniuk
10:15 AM - 11:15 AM
  Wavelets: Approximation, Compression and Sampling
Martin Vetterli
11:15 AM - 01:30 PM
  Harmonic Analysis of BV
Ronald DeVore (Texas A&M International University)
01:30 PM - 02:00 PM
  Texture characterization and retrieval using steerable hidden Markov models
Minh Do
02:00 PM - 02:45 PM
  Thresholding second generation wavelet coefficients for noisy, non-equispaced data
Maarten Jansen
02:45 PM - 03:45 PM
  A multiresolution analysis for statistical likelihoods: Theory and methods
Eric Kolaczyk
Mar 27, 2001
Tuesday
09:30 AM - 10:15 AM
  Coarse-to-fine classification and visual indexing
Donald Geman (Johns Hopkins University)
10:15 AM - 11:15 AM
  From bits to information: Theory and applications of learning machines
Tomaso Poggio
11:15 AM - 01:30 PM
  Gradient-based learning in heterogeneous structures
Yann LeCun
01:30 PM - 02:00 PM
  Data compression and statistical inference
Jorg Rahnenfuhrer
02:00 PM - 03:00 PM
  Local curved gaussian models
Juan Lin
03:00 PM - 03:30 PM
  Compressing and analyzing massive geophysical data sets by Monte Carlo extended ECVQ
Amy Braverman
03:30 PM - 04:15 PM
  Adaptive Bayesian Shrinkage Estimators
David Denison (University of Manchester)
04:15 PM - 04:45 PM
  Best adaptive tiling in a rate-distortion sense
Rahul Shukla
04:45 PM - 05:45 PM
  Multi-resolution properties of semi-parametric volatility models
Enrico Capobianco (Consiglio Nazionale delle Ricerche (CNR))
Mar 28, 2001
Wednesday
09:00 AM - 09:45 AM
  Environmental monitoring using a time series of satellite images and other spatial data sets
Harri Kiiveri
09:45 AM - 10:45 AM
  Bayesian multidimensional scaling and choice of dimension
Adrian Raftery
10:45 AM - 11:15 AM
  Computationally intensive statistical methods for microarray based drug discovery
Katherine Pollard
11:15 AM - 11:45 AM
  Active learning of Bayes net structure with applications to gene knockout experiment design
Kevin Murphy
11:45 AM - 12:15 PM
  Using robust and resistant regression analysis (MM-estimator) to find differentially expressed genes in microarray data
Alexandre Loguinov
12:15 PM - 01:15 PM
  Logic Regression
Ingo Ruczinski
Mar 29, 2001
Thursday
09:30 AM - 10:15 AM
  Predictive data mining with multiple additive regression trees
Jerome Friedman
10:15 AM - 11:00 AM
  Logistic regression, AdaBoost and Bregman distances
Robert Schapire (Microsoft Research)
11:15 AM - 12:00 PM
  Where does mainstream optimization fit?
Margaret H. Wright (New York University, Courant Institute)
02:00 PM - 02:30 PM
  Random forests: An algorithm for prediction and understanding
Leo Breiman
02:30 PM - 03:00 PM
  High dimension - low sample size data analysis
James Marron
03:30 PM - 04:00 PM
  A global geometric framework for nonlinear dimensionality reduction
Vin de Silva
03:30 PM - 04:00 PM
  A global geometric framework for nonlinear dimensionality reduction
Vin de Silva
04:00 PM - 04:30 PM
  Multivariate optimal scaling techniques for the analysis of large and complicated data sets
Jacqueline Meulman
04:30 PM - 05:00 PM
  Construction of low dimensional DME reaction state space trajectories
Nelson Butuk
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