Conference Program

 

 

Monday, December 13, 2004

 

7:30-Midnight – Poster and Demo Sessions

 

 

 

Tuesday, December 14, 2004

 

Session 1: Cognition -- Chair:  Rich Shiffrin

 

8:30-9:30 -- Invited Talk

Gerd Gigerenzer.
Fast and Frugal Heuristics: The Adaptive Toolbox

 

9:30-9:50 -- Oral

L. Renninger, J. Coughlan, P. Verghese, J. Malik

An Information Maximization Model of Eye Movements

 

9:50-10:10 -- Oral

A. Courville, N. Daw, D. Touretzky

Similarity and Discrimination in Classical Conditioning:  A Latent Variable Account

 

10:10-10:50 -- Break

 

Session 2:  Control and Cognition -- Chair:  Geoff Gordon

 

10:50-11:10 -- Oral

D. Parkes, S. Singh, D. Yanovsky
Approximately Efficient Online Mechanism Design

 

11:10-11:30 -- Oral

A. Ng, H. Kim
Stable Adaptive Control with Online Learning

 

11:30-11:50 -- Oral

R. Sutton, B. Tanner
TD Networks

 

11:50 -12:05 -- Spotlights

T. Griffiths, M. Steyvers, D. Blei, J. Tenenbaum
Integrating Topics and Syntax

S. Kakade, M. Kearns, L. Ortiz, R. Pemantle, S. Suri
Economic Properties of Social Networks

M. Fink
Object Classification from a Single Example Utilizing Class Relevance Pseudo-Metrics

M. Holmes, C. Isbell
Schema Learning: Experience-Based Construction of Predictive Action Models

R. Powers, S. Yoav
New Criteria and a New Algorithm for Learning in Multi-agent Systems

P. Abbeel, A. Ng
Learning First Order Markov Models for Control

 

12:05 - 2:00 -- Lunch

 

Session 3:  Manifolds and Clustering -- Chair:  Yoshua Bengio

 

2:00-2:20 -- Oral

N. Srebro, J. Rennie, T. Jaakkola
Maximum-Margin Matrix Factorization

 

2:20-2:40 -- Oral

T. Iwata, K. Saito, N. Ueda, S. Stromsten, T. Griffiths, J. Tenenbaum
Parametric Embedding for Class Visualization

 

2:40-3:00 -- Oral

A. Globerson, G. Chechik, F. Pereira, N. Tishby
Euclidean Embedding of Co-occurrence Data

 

3:00-3:20 -- Oral

U. von Luxburg, O. Bousquet, M. Belkin
Limits of Spectral Clustering

 

3:20-3:35 -- Spotlights

I. Steinwart, D. Hush, C. Scovel
Anomaly Dectection is Classification

D. Pelleg, A. Moore
Active Learning for Anomaly and Rare-Category Detection

E. Levina, P. Bickel
Maximum Likelihood Estimation of Intrinsic Dimension

R. Memisevic, G. Hinton
Multiple Relational Embedding

J. Goldberger, S. Roweis
Hierarchical Clustering of a Mixture Model

T. Liu, A. Moore, A. Gray, K. Yang
An Investigation of Practical Approximate Nearest Neighbor Algorithms

J. Ye, R. Janardan, Q. Li
Two-dimensional Linear Discriminant Analysis

 

3:35 - 4:00 -- Break

 

Session 4:  Signals, Language and Inference -- Chair:  Jeff Bilmes

 

4:00-4:20 -- Oral

M. Allan, C. Williams
Harmonising Chorales by Probabilistic Inference

 

4:20-4:40 -- Oral

P. Xu, F. Jelinek
Using Random Forests in the Structured Language Model

 

4:40-5:00 -- Oral

E. Sudderth, M. Mandel, W. Freeman, A. Willsky
Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation

 

5:00 -5:20 -- Spotlights

A. Torralba, K. Murphy, W. Freeman
Contextual Models for Object Detection Using Boosted Random Fields

M. Opper, O. Winther
Expectation Consistent Free Energies for Approximate Inference

S. Kirkpatrick, E. Aurell, U. Gordon
Comparing Beliefs, Surveys, and Random Walks

B. Fischer, V. Roth, J. Buhmann, J. Grossmann, S. Baginsky, W. Gruissem, F. Roos, P. Widmayer
A Hidden Markov Model for de Novo Peptide Sequencing

P. Baldi, J. Cheng, A. Vullo
Large-Scale Prediction of Disulphide Bond Connectivity

D. Lang, N. de Freitas
Beat Tracking the Graphical Model Way

J. Blitzer, K. Weinberger, L. Saul, F. Pereira
Hierarchical Distributed Representations for Statistical Language Modeling

P. Bartlett, M. Collins, B. Taskar, D. McAllester
Exponentiated Gradient Algorithms for Large-margin Structured Classification

 

 

7:30–Midnight – Poster and Demo Sessions

 

 

 

Wednesday, December 15, 2004

 

Session 5:  Perception -- Chair:  Trevor Darell

 

8:30-9:30 -- Invited Talk

Shimon Ullman
Classification, Recognition and Segmentation Using Fragments Hierarchy

 

9:30-9:50 -- Oral

D. Gao, N. Vasconcelos
Discriminant Saliency for Visual Recognition from Cluttered Scenes

 

9:50-10:05 -- Spotlights

T. Berg, A. Berg, J. Edwards, D. Forsyth
Who's in the Picture?

E. Learned-Miller, P. Ahammad
Joint MRI Bias Removal Using Entropy Minimization Across Images

R. Vogelstein, U. Mallik, G. Cauwenberghs, E. Culurciello, R. Etienne-Cummings
Saliency-Driven Image Acuity Modulation on a Reconfigurable Silicon Array of Spiking Neurons

A. Efros, V. Isler, J. Shi, M. Visontai
Seeing through Water

O. Williams, A. Blake, R. Cipolla
The Variational Ising Classifier (VIC) Algorithm for Coherently Contaminated Data

K. Chellapilla, P. Simard
Using Machine Learning to Break Visual Human Interaction Proofs (HIPs)

 

10:05-10:45 -- Break

 

Session 6:  Kernels and Beyond -- Chair:  Bernhard Schoelkopf

 

10:45-11:05 -- Oral

C. Shantanu, G. Cauwenberghs
Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation

 

11:05-11:25 -- Oral

J. Vert, Y. Yamanishi
Supervised Graph Inference

 

11:25-11:45 -- Oral

T. Hastie, S. Rosset, R. Tibshirani, J. Zhu
The Entire Regularization Path for the Support Vector Machine

 

11:45-11:55 -- Spotlights

M. Pontil, C. Micchelli
Kernels for Multi--task Learning

M. Cuturi, J. Vert
Semigroup Kernels on Finite Sets

C. Yang, R. Duraiswami, L. Davis
Efficient Kernel Machines Using the Improved Fast Gauss Transform

J. Del Coz, G. Bayo'n, J. Di'ez, O. Luaces, A. Bahamonde, C. San~udo
Trait Selection for Assessing Beef Meat Quality Using Non-linear SVM

 

11:55 - 2:00 -- Lunch

 

Session 7: Spikes, Neurons and Circuits -- Chair:  Maneesh Sahani

 

2:00-3:00 -- Invited Talk

John Donoghue
Mind over Movement: Developing Neurotechnologies To Restore Lost Function

 

3:00-3:20 -- Oral

J. Triesch
Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons

 

3:20-3:40 -- Oral

E. Smith, M. Lewicki
Learning Efficient Auditory Codes Using Spikes

 

3:40-4:00 -- Oral

A. Yu, P. Dayan
Inference, Attention and Decision in a Bayesian Neural Architecture

 

4:00-4:10 -- Spotlights

W. Maass, R. Legenstein, N. Bertschinger
Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits

J. Kim, J. Hopfield, E. Winfree
Neural Network Computation by in vitro Transcriptional Circuits

L. Shpigelman, K. Crammer, R. Paz, E. Vaadia, Y. Singer
A Temporal Kernel-Based Model for Tracking Hand-Movements from Neural Activities

H. Park, T. Lee
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution

 

4:10 - 4:40 -- Break

 

Session 8:  Theory and Practice -- Chair:  Ron Meir

 

4:40-5:00 -- Oral

E. Klein, R. Mislovaty, I. Kanter, A. Ruttor, W. Kinzel
Synchronization of Neural Networks by Mutual Learning and Its Application to Cryptography

 

5:00-5:20 -- Oral

V. Koltchinskii, M. Martinez-Ramon, S. Posse

Optimal Aggregation of Classifiers and Boosting

 

5:20-5:35 -- Spotlights

M. Balcan, A. Blum, K. Yang
Co-Training and Expansion: Towards Bridging Theory and Practice

L. Paninski
Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised Learning

S. Kakade, A. Ng
Online Bounds for Bayesian Algorithms

C. Cortes, M. Mohri
Confidence Intervals for the Area under the ROC Curve

C. Scott, R. Nowak
On the Adaptive Properties of Decision Trees

L. Zaniboni, N. Cesa-Bianchi, C. gentile
Worst-Case Analysis of Selective Sampling for Linear-threshold Algorithms

 

 

 

Thursday, December 16, 2004

 

Session 9:  Genes and Games -- Chair:  Nello Cristianini

 

8:30-9:30 -- Invited talk

Bernhard O. Palsson
Bringing Genomes to Life: The Use of Genome-scale in Silico Models

 

9:30-9:50 -- Oral

D. Stern, T. Graepel, D. MacKay
Modelling Uncertainty in the Game of Go

 

9:50-10:30 -- Break

 

Session 10:  Beliefs and Graphs -- Chair:  John Lafferty

 

10:30-10:50 -- Oral

A. Ihler, J. Fisher, A. Willsky
Message Errors in Belief Propagation

 

10:50-11:10 -- Oral

M. Welling, M. Rosen-Zvi, G. Hinton
Exponential Family Harmoniums with an Application to Information Retrieval

 

11:10-12:10 -- Invited Talk

Nati Linial
Eigenvalues, Expanders and All That