7:30 pm to

Midnight

Poster Session

Speaker Introduction, Session Chair

8:30 am

Yoram Singer

Urs Hölzle: Petabyte Processing Made Easy

9:30 am

Z. Ghahramani, K. Heller: Bayesian Sets

Spotlight Czar

9:50 am

Shih-Chii Liu

Spotlights
J. Johnson, D. Malioutov, A. Willsky: Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation
M. Kuss, C. Rasmussen: Assessing Approximations for Gaussian Process Classification
D. Wipf, B. Rao: Comparing the Effects of Different Weight Distributions on Finding Sparse Representations
J. Zhang, Z. Ghahramani, Y. Yang: Learning Multiple Related Tasks Using Latent Independent Component Analysis
D. Blei, J. Lafferty: Correlated Topic Models
C. Moallemi, B. Van Roy: Consensus Propagation

10:10 am

Break

Session Chair

10:40 am

Neil Lawrence

B. Anderson, A. Moore: Efficient Value of Information for Graphical Models

11:00 am

P. Ravikumar, J. Lafferty: Preconditioner Approximations for Probabilistic Graphical Models

11:20 am

E. Snelson, Z. Ghahramani: Sparse Gaussian Processes Using Pseudo-inputs

Spotlight Czar

11:40 am

Shih-Chii Liu

Spotlights
P. McCracken, M. Bowling: Online Discovery and Learning of Predictive State Representations
S. Mahadevan, M. Maggioni: Value Function Approximation With Diffusion Wavelets and Laplacian Eigenfunctions
Y. Engel, P. Szabo, D. Volkinshtein: Learning to Control an Octopus Arm With Gaussian Process Temporal Difference Methods
B. Van Roy: Performance Loss Bounds for Approximate Value Iteration With State Aggregation
B. Moghaddam, Y. Weiss, S. Avidan: Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms
N. Usunier, M. Amini, P. Gallinari: Generalization Error Bounds for Classifiers Trained With Interdependent Data
L. Zwald, G. Blanchard: On the Convergence of Eigenspaces in Kernel Principal Component Analysis

12:00 pm

Lunch

Session Chair

2:00 pm

Mike Collins

S. Dasgupta: Coarse Sample Complexity Bounds for Active Learning

2:20 pm

R. Vert, J. Vert: Consistency of One-class SVM and Related Algorithms

2:40 pm

E. Krupka, N. Tishby: Generalization in Clustering With Unobserved Features

3:00 pm

S. Kakade, A. Kalai: From Batch to Transductive Online Learning

3:20 pm

Break

Session Chair

3:50 pm

Tom Griffiths

J. Edwards, D. Forsyth: Searching for Character Models

4:10 pm

W. Zhang, H. Yang, D. Samaras, G. Zelinsky: A Computational Model of Eye Movements During Object Class Detection

4:30 pm

M. Mozer, M. Shettel, S. Vecera: Top-Down Control of Visual Attention: A Rational Account

4:50 pm

Y. Niv, N. Daw, P. Dayan: How Fast to Work: Response Vigor, Motivation and Tonic Dopamine

Spotlight Czar

5:10 pm

Shih-Chii Liu

Spotlights
D. Verma, R. Rao: Goal-Based Imitation as Probabilistic Inference Over Graphical Models
G. Orban, J. Fiser, R. Aslin, M. Lengyel: Bayesian Model Learning in Human Visual Perception
C. Sminchisescu, A. Kanaujia, Z. Li, D. Metaxas: Conditional Visual Tracking in Kernel Space
F. Fleuret, G. Blanchard: Pattern Recognition From One Example by Chopping
P. Viola, J. Platt: Multiple Instance Boosting for Object Detection
H. Lu, A. Yuille: Ideal Observers for Detecting Human Motion: Correspondence Noise
N. Bruce, J. Tsotsos: Saliency Based on Information Maximization

7:30 pm to

Midnight

Poster Session

Speaker Introduction + Session Chair

8:30 am

Chris Watkins

Alessandro Vespignani: Evolution and Structure of the Internet

9:30 am

B. Nadler, S. Lafon, R. Coifman, I. Kevrekidis: Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators

Spotlight Czar

9:50 am

Koji Tsuda

Spotlights
K. Fukumizu, F. Bach, A. Gretton: Statistical Convergence of Kernel CCA
K. Lang: Fixing two Weaknesses of the Spectral Method
T. Zhang, R. Ando: Analysis of Spectral Kernel Design Based Semi-supervised Learning
S. Sonnenburg, G. Raetsch, C. Schaefer: A General and Efficient Multiple Kernel Learning Algorithm
M. Aupetit: Learning Topology With the Generative Gaussian Graph and the EM Algorithm
X. Wang, N. Mohanty, A. McCallum: Group and Topic Discovery From Relations and Text
N. Jojic, V. Jojic, B. Frey, C. Meek, D. Heckerman: Using Epitomes to Model Genetic Diversity
Y. LeCun, U. Muller, J. Ben, E. Cosatto, B. Flepp: Off-Road Obstacle Avoidance Through End-to-End Learning

10:10 am

Break

Session Chair

10:40 am

Partha Niyogi

K. Weinberger, J. Blitzer, L. Saul: Distance Metric Learning for Large Margin Nearest Neighbor Classification

11:00 am

M. Raginsky, S. Lazebnik: Estimation of Intrinsic Dimensionality Using High-Rate Vector Quantization

11:20 am

C. Williams, J. Quinn, N. McIntosh: Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care

11:40 am

P. Flaherty, M. Jordan, A. Arkin: Robust Design of Biological Experiments

12:00 pm

Lunch

Speaker Introduction

2:00 pm

Klaus Pawelzik

György Buzsáki: Oscillations Organize Cell Assemblies

Session Chair

3:00 pm

Thore Graepel

K. Miura, M. Okada, S. Amari: Unbiased Estimator of Shape Parameter for Spiking Irregularities Under Changing Environments

3:20 pm

S. Nagarajan, H. Attias, K. Hild, K. Sekihara: Stimulus Evoked Independent Factor Analysis of MEG Data With Large Background Activity

3:40 pm

J. Arthur, K. Boahen: Learning in Silicon: Timing is Everything

4:00 pm

Break

Session Chair

4:30 pm

Fritz Sommer

A. Stocker, E. Simoncelli: Sensory Adaptation Within a Bayesian Framework for Perception

4:50 pm

B. Yu, A. Afshar, G. Santhanam, S. Ryu, K. Shenoy, M. Sahani: Extracting Dynamical Structure Embedded in Neural Activity

5:10 pm

W. Maass, P. Joshi, E. Sontag: Principles of Real-time Computing With Feedback Applied to Cortical Microcircuit Models

Spotlight Czar

5:30 pm

Koji Tsuda

Spotlights
M. Danoczy, R. Hahnloser: Efficient Estimation of Hidden State Dynamics From Spike Trains
P. Dayan, A. Yu: Norepinephrine and Neural Interrupts
M. Tamosiunaite, B. Porr, F. Woergoetter: Temporally Changing Synaptic Plasticity
A. Celik, M. Stanacevic, G. Cauwenberghs: Gradient Flow Independent Component Analysis in Micropower VLSI

7:30 pm to

Midnight

Poster Session

Speaker Introduction, Session Chair

8:30 am

Jeff Bilmes

Jim Hudspeth: Making an Effort to Listen: Mechanical Amplification by Myosin Molecules and Ion Channels in Hair Cells of the Inner Ear

9:30 am

Y. Zhang, Z. Changshui: Separation of Music Signals by Harmonic Structure Modeling

9:50 am

S. Thrun: Affine Structure From Sound

10:10 am

Break

Speaker  Introduction, Session Chair

10:40 am

Andrew Ng

M. Zinkevich, A. Greenwald, M. Littman: Cyclic Equilibria in Markov Games

11:00 am

Christos H. Papadimitriou: Games, Algorithms and Networks