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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Loop Series and Bethe Variational Bounds in Attractive Graphical Models
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Rapid Inference on a novel AND/OR graph: Detection, Segmentation and Parsing of Articulated Deformable Objects in Cluttered Backgrounds
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
People Tracking with the Laplacian Eigenmaps Latent Variable Model
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Modeling image patches with a directed hierarchy of Markov random fields
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Learning the structure of manifolds using random projections
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Random Sampling of States in Dynamic Programming
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Bayesian Policy Learning with Trans-Dimensional MCMC
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Sta
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
On Ranking in Survival Analysis: Bounds on the Concordance Index
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Support Vector Machine Classification with Indefinite Kernels
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Fast Variational Inference for Large-scale Internet Diagnosis
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Regret Minimization in Games with Incomplete Information
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Discriminative Log-Linear Grammars with Latent Variables
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Active Preference Learning with Discrete Choice Data
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Multi-Stage Monte Carlo Approximation for Fast Generalized Data Summations
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Receding Horizon Differential Dynamic Programming
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Learning Monotonic Transformations for Classification
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Linear programming analysis of loopy belief propagation for weighted matching
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Sparse Feature Learning for Deep Belief Networks
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Local Algorithms for Approximate Inference in Minor-Excluded Graphs
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Configuration Estimates Improve Pedestrian Finding
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
A Unified Model for Content Based Image Suggestion and Feature Selection
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Resampling Methods for Protein Structure Prediction with Rosetta
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Automatic Generation of Social Tags for Music Recommendation
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
A learning framework for nearest neighbor search
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Modeling homophily and stochastic equivalence in symmetric relational data
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Efficient multiple hyperparameter learning for log-linear models
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Discriminative Keyword Selection Using Support Vector Machines
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Multiple-Instance Pruning For Learning Efficient Cascade Detectors
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
A Bayesian LDA-based model for semi-supervised part-of-speech tagging
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
The Value of Labeled and Unlabeled Examples when the Model is Imperfect
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Efficient Principled Learning of Thin Junction Trees
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Experience-Guided Search: A Theory of Attentional Control
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Optimal ROC Curve for a Combination of Classifiers
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Statistical Analysis of Semi-Supervised Regression
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Theoretical Analysis of Heuristic Search Methods for Online POMDPs
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
A Risk Minimization Principle for a Class of Parzen Estimators
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Testing for Homogeneity with Kernel Fisher Discriminant Analysis
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
DIFFRAC: a discriminative and flexible framework for clustering
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Sparse Overcomplete Latent Variable Decomposition of Counts Data
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Robust Regression with Twinned Gaussian Processes
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Fitted Q-iteration in continuous action-space MDPs
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Gaussian Process Models for Link Analysis and Transfer Learning
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Progressive mixture rules are deviation suboptimal
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
A Randomized Algorithm for Large Scale Support Vector Learning
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
The Noisy-Logical Distribution and its Application to Causal Inference
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Temporal Difference with Eligibility Traces Derived from First Principles
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Efficient Convex Relaxation for Transductive Support Vector Machine
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Parallelizing Support Vector Machines on Distributed Computers
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
What makes some POMDP problems easy to approximate?
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Selecting Observations against Adversarial Objectives
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
A Multiplicative Weights Algorithm for Apprenticeship Learning
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
The Price of Bandit Information for Online Optimization
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
FilterBoost: Regression and Classification on Large Datasets
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Classification via Minimum Incremental Coding Length (MICL)
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Privacy-Preserving Belief Propagation and Sampling
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Collective Inference on Markov Models for Modeling Bird Migration
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
An Analysis of Convex Relaxations for MAP Estimation
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Boosting Algorithms for Maximizing the Soft Margin
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Consistent Minimization of Clustering Objective Functions
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Catching Up Faster in Bayesian Model Selection and Model Averaging
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Distributed Inference for Latent Dirichlet Allocation
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Scene Segmentation with CRFs Learned from Partially Labeled Images
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
TrueSkill Through Time: Revisiting the History of Chess
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Density Estimation under Independent Similarly Distributed Sampling Assumptions
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Hidden Common Cause Relations in Relational Learning
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Infinite State Bayes-Nets for Structured Domains
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Non-parametric Modeling of Partially Ranked Data
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Combined discriminative and generative articulated pose and non-rigid shape estimation
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Efficient Bayesian Inference for Dynamically Changing Graphs
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Augmented Functional Time Series Representation and Forecasting with Gaussian Processes
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Bayesian Agglomerative Clustering with Coalescents
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Optimal models of sound localization by barn owls
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Learning Horizontal Connections in a Sparse Coding Model of Natural Images
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
GRIFT: A graphical model for inferring visual classification features from human data
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Modelling motion primitives and their timing in biologically executed movements
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Second Order Bilinear Discriminant Analysis for single trial EEG analysis
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
The discriminant center-surround hypothesis for bottom-up saliency
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Locality and low-dimensions in the prediction of natural experience from fMRI
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Modeling Natural Sounds with Modulation Cascade Processes
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
On Sparsity and Overcompleteness in Image Models
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Estimating disparity with confidence from energy neurons
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Predicting human gaze using low-level saliency combined with face detection
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
A neural network implementing optimal state estimation based on dynamic spike train decoding
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
An online Hebbian learning rule that performs Independent Component Analysis
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Hippocampal Contributions to Control: The Third Way
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Kernels on Attributed Pointsets with Applications
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Neural characterization in partially observed populations of spiking neurons
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Learning to classify complex patterns using a VLSI network of spiking neurons
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Inferring Elapsed Time from Stochastic Neural Processes
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Extending position/phase-shift tuning to motion energy neurons improves velocity discrimination
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Blind channel identification for speech dereverberation using l1-norm sparse learning
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
A probabilistic model for generating realistic lip movements from speech
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Sequential Hypothesis Testing under Stochastic Deadlines
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Retrieved context and the discovery of semantic structure
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
A Bayesian Framework for Cross-Situational Word-Learning
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Congruence between model and human attention reveals unique signatures of critical visual events
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Comparing Bayesian models for multisensory cue combination without mandatory integration
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
A Spectral Regularization Framework for Multi-Task Structure Learning
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Better than least squares: comparison of objective functions for estimating linear-nonlinear models
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Exponential Family Predictive Representations of State
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Nearest-Neighbor-Based Active Learning for Rare Category Detection
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Ensemble Clustering using Semidefinite Programming
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Efficient Inference forDistributions on Permutations
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Learning with Tree-Averaged Densities and Distributions
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Expectation Maximization, Posterior Constraints, and Statistical Alignment
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Poster
Wed Dec 05 07:30 PM -- 12:00 AM (PST)
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains
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