(468 events)
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Placeholder
Sun Dec 06 04:00 PM -- 08:00 PM (PST) @ 3rd Floor, Hyatt Regency Vancouver
Registration Desk
Break
Mon Dec 07 07:30 AM -- 09:00 AM (PST) @ Regency A
Breakfast - Regency A, Conference Level
Placeholder
Mon Dec 07 08:00 AM -- 06:00 PM (PST) @ Queen Charlotte
Registration Desk, Internet Cafe
Placeholder
Mon Dec 07 08:00 AM -- 06:00 PM (PST) @ Queen Charlotte, Oxford
Registration Desk, Internet Cafe
Tutorial
Mon Dec 07 09:30 AM -- 11:30 AM (PST) @ Regency E/F
Making Very Large-Scale Linear Algebraic Computations Possible Via Randomization
Tutorial
Mon Dec 07 09:30 AM -- 11:30 AM (PST) @ Regency D
Understanding Visual Scenes
Break
Mon Dec 07 11:30 AM -- 01:00 PM (PST)
Lunch Break
Tutorial
Mon Dec 07 01:00 PM -- 03:00 PM (PST) @ Regency E/F
Model-Based Reinforcement Learning
Tutorial
Mon Dec 07 01:00 PM -- 03:00 PM (PST) @ Regency D
Sparse Methods for Machine Learning: Theory and Algorithms
Break
Mon Dec 07 03:00 PM -- 03:30 PM (PST)
Break
Tutorial
Mon Dec 07 03:30 PM -- 05:30 PM (PST) @ Regency E/F
Deep Learning in Natural Language Processing
Tutorial
Mon Dec 07 03:30 PM -- 05:30 PM (PST) @ Regency D
Sequential Monte-Carlo Methods
Session
Mon Dec 07 06:15 PM -- 06:30 PM (PST) @ Regency Ballroom
Opening Remarks and Awards
Session
Mon Dec 07 06:30 PM -- 06:50 PM (PST)
Spotlights
Spotlight
Mon Dec 07 06:33 PM -- 06:34 PM (PST)
Learning to Rank by Optimizing NDCG Measure
In
Spotlights
Spotlight
Mon Dec 07 06:35 PM -- 06:36 PM (PST)
Sparsistent Learning of Varying-coefficient Models with Structural Changes
In
Spotlights
Spotlight
Mon Dec 07 06:36 PM -- 06:37 PM (PST)
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks
In
Spotlights
Spotlight
Mon Dec 07 06:37 PM -- 06:38 PM (PST)
Heavy-Tailed Symmetric Stochastic Neighbor Embedding
In
Spotlights
Spotlight
Mon Dec 07 06:40 PM -- 06:41 PM (PST)
Nonparametric Latent Feature Models for Link Prediction
In
Spotlights
Spotlight
Mon Dec 07 06:41 PM -- 06:42 PM (PST)
A Fast, Consistent Kernel Two-Sample Test
In
Spotlights
Spotlight
Mon Dec 07 06:42 PM -- 06:43 PM (PST)
Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification
In
Spotlights
Spotlight
Mon Dec 07 06:43 PM -- 06:44 PM (PST)
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
In
Spotlights
Spotlight
Mon Dec 07 06:44 PM -- 06:45 PM (PST)
Fast Learning from Non-i.i.d. Observations
In
Spotlights
Spotlight
Mon Dec 07 06:45 PM -- 06:46 PM (PST)
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation
In
Spotlights
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Dual Averaging Method for Regularized Stochastic Learning and Online Optimization
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
White Functionals for Anomaly Detection in Dynamical Systems
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Estimating image bases for visual image reconstruction from human brain activity
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Individuation, Identification and Object Discovery
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Structured output regression for detection with partial truncation
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Stochastic approximation method for inference in probabilistic graphical models
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Toward Provably Correct Feature Selection in Arbitrary Domains
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Asymptotically Optimal Regularization in Smooth Parametric Models
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME)
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
An Online Algorithm for Large Scale Image Similarity Learning
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Nonparametric Latent Feature Models for Link Prediction
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Semi-supervised Learning using Sparse Eigenfunction Bases
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Unsupervised Feature Selection for the $k$-means Clustering Problem
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Sparse and Locally Constant Gaussian Graphical Models
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Variational Inference for the Nested Chinese Restaurant Process
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Gaussian process regression with Student-t likelihood
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Nonparametric Bayesian Texture Learning and Synthesis
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Monte Carlo Sampling for Regret Minimization in Extensive Games
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Bayesian estimation of orientation preference maps
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Sequential effects reflect parallel learning of multiple environmental regularities
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Beyond Convexity: Online Submodular Minimization
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Modelling Relational Data using Bayesian Clustered Tensor Factorization
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Positive Semidefinite Metric Learning with Boosting
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Sparsistent Learning of Varying-coefficient Models with Structural Changes
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Periodic Step Size Adaptation for Single Pass On-line Learning
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Non-stationary continuous dynamic Bayesian networks
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
The Wisdom of Crowds in the Recollection of Order Information
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Code-specific policy gradient rules for spiking neurons
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Distribution-Calibrated Hierarchical Classification
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Heavy-Tailed Symmetric Stochastic Neighbor Embedding
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Modeling Social Annotation Data with Content Relevance using a Topic Model
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
The "tree-dependent components" of natural scenes are edge filters
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Matrix Completion from Power-Law Distributed Samples
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Measuring model complexity with the prior predictive
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Biologically Plausible Model for Rapid Natural Scene Identification
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
DUOL: A Double Updating Approach for Online Learning
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Optimal context separation of spiking haptic signals by second-order somatosensory neurons
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Multiple Incremental Decremental Learning of Support Vector Machines
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Ranking Measures and Loss Functions in Learning to Rank
[ PDF]
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Robust Nonparametric Regression with Metric-Space Valued Output
[ PDF]
Session
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Poster Session
Demonstration
Tue Dec 08 12:00 AM -- 12:00 AM (PST)
Automatically Adaptable Spike Sorting Software
Demonstration
Tue Dec 08 12:00 AM -- 12:00 AM (PST)
Demonstration of the TreeRank Software
Demonstration
Tue Dec 08 12:00 AM -- 12:00 AM (PST)
Vision Toolkit for Image Recognition
Demonstration
Tue Dec 08 12:00 AM -- 12:00 AM (PST)
Activity Recognition and Human Gait Recognition
Demonstration
Tue Dec 08 12:00 AM -- 12:00 AM (PST)
Car Detector trained with the Quantum Adiabatic Algorithm
Demonstration
Tue Dec 08 12:00 AM -- 12:00 AM (PST)
The IID: A Natively Probabilistic Reconfigurable Computer
Break
Tue Dec 08 07:30 AM -- 09:00 AM (PST) @ Regency A - Conference Level
Breakfast
Placeholder
Tue Dec 08 08:00 AM -- 06:00 PM (PST) @ Queen Charlotte, Oxford
Registration Desk, Internet Cafe
Invited Talk
Tue Dec 08 08:30 AM -- 10:10 AM (PST)
Relative Entropy
Session
Tue Dec 08 08:30 AM -- 10:10 AM (PST)
Oral Session 1: Information Theory and Estimation
Oral
Tue Dec 08 09:30 AM -- 09:50 AM (PST)
Multi-Label Prediction via Compressed Sensing
Oral
Tue Dec 08 09:50 AM -- 10:10 AM (PST)
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
Break
Tue Dec 08 10:10 AM -- 10:40 AM (PST)
Break
Oral
Tue Dec 08 10:40 AM -- 11:00 AM (PST)
An Additive Latent Feature Model for Transparent Object Recognition
Session
Tue Dec 08 10:40 AM -- 12:00 PM (PST)
Oral Session 2: Images and Codes
Oral
Tue Dec 08 11:00 AM -- 11:20 AM (PST)
Semi-Supervised Learning in Gigantic Image Collections
Oral
Tue Dec 08 11:20 AM -- 11:40 AM (PST)
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
Oral
Tue Dec 08 11:40 AM -- 12:00 PM (PST)
Locality-Sensitive Binary Codes from Shift-Invariant Kernels
Break
Tue Dec 08 12:00 PM -- 02:00 PM (PST)
Lunch Break
Session
Tue Dec 08 12:30 PM -- 01:45 PM (PST) @ Stanley Room (34th floor)
Debate on Future Publication Models for the NIPS Community
Invited Talk
Tue Dec 08 02:00 PM -- 03:00 PM (PST)
Deep Learning with Multiplicative Interactions
Session
Tue Dec 08 02:00 PM -- 03:20 PM (PST)
Oral Session 3: Deep Learning and Network Models
Oral
Tue Dec 08 03:00 PM -- 03:20 PM (PST)
Discriminative Network Models of Schizophrenia
Session
Tue Dec 08 03:20 PM -- 03:40 PM (PST)
Spotlights
Spotlight
Tue Dec 08 03:24 PM -- 03:25 PM (PST)
Kernels and learning curves for Gaussian process regression on random graphs
In
Spotlights
Spotlight
Tue Dec 08 03:25 PM -- 03:26 PM (PST)
Robust Value Function Approximation Using Bilinear Programming
In
Spotlights
Spotlight
Tue Dec 08 03:26 PM -- 03:27 PM (PST)
Analysis of SVM with Indefinite Kernels
In
Spotlights
Spotlight
Tue Dec 08 03:30 PM -- 03:31 PM (PST)
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
In
Spotlights
Spotlight
Tue Dec 08 03:31 PM -- 03:32 PM (PST)
A joint maximum-entropy model for binary neural population patterns and continuous signals
In
Spotlights
Spotlight
Tue Dec 08 03:33 PM -- 03:34 PM (PST)
Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation
In
Spotlights
Spotlight
Tue Dec 08 03:35 PM -- 03:36 PM (PST)
Linear-time Algorithms for Pairwise Statistical Problems
In
Spotlights
Break
Tue Dec 08 03:40 PM -- 04:10 PM (PST)
Break
Oral
Tue Dec 08 04:10 PM -- 04:30 PM (PST)
Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning
Session
Tue Dec 08 04:10 PM -- 05:10 PM (PST)
Oral Session 4: Cognitive Science and EEG Analysis
Oral
Tue Dec 08 04:30 PM -- 04:50 PM (PST)
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model
Oral
Tue Dec 08 04:50 PM -- 05:10 PM (PST)
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification
Session
Tue Dec 08 05:10 PM -- 05:30 PM (PST)
Spotlights
Spotlight
Tue Dec 08 05:13 PM -- 05:14 PM (PST)
Indian Buffet Processes with Power-law Behavior
In
Spotlights
Spotlight
Tue Dec 08 05:15 PM -- 05:16 PM (PST)
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing
In
Spotlights
Spotlight
Tue Dec 08 05:16 PM -- 05:17 PM (PST)
STDP enables spiking neurons to detect hidden causes of their inputs
In
Spotlights
Spotlight
Tue Dec 08 05:17 PM -- 05:18 PM (PST)
3D Object Recognition with Deep Belief Nets
In
Spotlights
Spotlight
Tue Dec 08 05:18 PM -- 05:19 PM (PST)
Maximum likelihood trajectories for continuous-time Markov chains
In
Spotlights
Spotlight
Tue Dec 08 05:19 PM -- 05:20 PM (PST)
Time-Varying Dynamic Bayesian Networks
In
Spotlights
Spotlight
Tue Dec 08 05:20 PM -- 05:21 PM (PST)
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations
In
Spotlights
Spotlight
Tue Dec 08 05:21 PM -- 05:22 PM (PST)
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference
In
Spotlights
Spotlight
Tue Dec 08 05:24 PM -- 05:25 PM (PST)
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs
In
Spotlights
Spotlight
Tue Dec 08 05:25 PM -- 05:26 PM (PST)
Subject independent EEG-based BCI decoding
In
Spotlights
Break
Tue Dec 08 05:30 PM -- 07:30 PM (PST)
Dinner Break
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Accelerated Gradient Methods for Stochastic Optimization and Online Learning
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
The Infinite Partially Observable Markov Decision Process
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Robust Value Function Approximation Using Bilinear Programming
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Data-driven calibration of linear estimators with minimal penalties
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Adapting to the Shifting Intent of Search Queries
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Nonlinear Learning using Local Coordinate Coding
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Maximum likelihood trajectories for continuous-time Markov chains
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Filtering Abstract Senses From Image Search Results
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Regularized Distance Metric Learning:Theory and Algorithm
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
No evidence for active sparsification in the visual cortex
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Speaker Comparison with Inner Product Discriminant Functions
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Locality-sensitive binary codes from shift-invariant kernels
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A joint maximum-entropy model for binary neural population patterns and continuous signals
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Adaptive Design Optimization in Experiments with People
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Linear-time Algorithms for Pairwise Statistical Problems
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Conditional Random Fields with High-Order Features for Sequence Labeling
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Linearly constrained Bayesian matrix factorization for blind source separation
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Sensitivity analysis in HMMs with application to likelihood maximization
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Semi-Supervised Learning in Gigantic Image Collections
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
On the Convergence of the Concave-Convex Procedure
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
An Integer Projected Fixed Point Method for Graph Matching and MAP Inference
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Fast, smooth and adaptive regression in metric spaces
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Unsupervised feature learning for audio classification using convolutional deep belief networks
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Nonlinear directed acyclic structure learning with weakly additive noise models
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A Gaussian Tree Approximation for Integer Least-Squares
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Efficient and Accurate Lp-Norm Multiple Kernel Learning
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
An Additive Latent Feature Model for Transparent Object Recognition
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
$L_1$-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Kernels and learning curves for Gaussian process regression on random graphs
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A General Projection Property for Distribution Families
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Bayesian Sparse Factor Models and DAGs Inference and Comparison
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Learning in Markov Random Fields using Tempered Transitions
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Nonparametric Greedy Algorithms for the Sparse Learning Problem
[ PDF]
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
STDP enables spiking neurons to detect hidden causes of their inputs
[ PDF]
Session
Tue Dec 08 07:30 PM -- 11:59 PM (PST)
Poster Session
Demonstration
Wed Dec 09 12:00 AM -- 12:00 AM (PST)
Real-Time Adaptive Face Recognition
Demonstration
Wed Dec 09 12:00 AM -- 12:00 AM (PST)
Curious George: An Attentive Semantic Robotic Vision System
Demonstration
Wed Dec 09 12:00 AM -- 12:00 AM (PST)
Nengo: Large-Scale Integrated Neural Modeling
Demonstration
Wed Dec 09 12:00 AM -- 12:00 AM (PST)
Monte: An Interactive Ssytem for Massively Parallel Probabilistic Programming
Demonstration
Wed Dec 09 12:00 AM -- 12:00 AM (PST)
An FPGA-based Multi-Algorithm Learning and Classification Engine
Demonstration
Wed Dec 09 12:00 AM -- 12:00 AM (PST)
Deformed Lattice Detection in Real-World Images Using a Novel Mean-Shift Belief
Demonstration
Wed Dec 09 12:00 AM -- 12:00 AM (PST)
Robust Speaker Recognition Using Approximate Bayesian Inference
Break
Wed Dec 09 07:30 AM -- 09:00 AM (PST) @ Regency Ballroom - Conference Level
Breakfast
Placeholder
Wed Dec 09 08:00 AM -- 06:00 PM (PST) @ Queen Charlotte, Oxford
Registration Desk, Internet Cafe
Invited Talk
Wed Dec 09 08:30 AM -- 09:30 AM (PST)
The Rat Vibrissal Array as a Model Sensorimotor System
Session
Wed Dec 09 08:30 AM -- 10:10 AM (PST)
Oral Session 5: Neuroscience
Oral
Wed Dec 09 09:30 AM -- 09:50 AM (PST)
Functional Network Reorganization In Motor Cortex Can Be Explained by Reward-Modulated Hebbian Learning
Oral
Wed Dec 09 09:50 AM -- 10:10 AM (PST)
Know Thy Neighbour: A Normative Theory of Synaptic Depression
Break
Wed Dec 09 10:10 AM -- 10:40 AM (PST)
Break
Oral
Wed Dec 09 10:40 AM -- 11:00 AM (PST)
Efficient Learning using Forward-Backward Splitting
Session
Wed Dec 09 10:40 AM -- 12:00 PM (PST)
Oral Session 6: Theory, Optimization and Games
Oral
Wed Dec 09 11:00 AM -- 11:20 AM (PST)
On Stochastic and Worst-case Models for Investing
Oral
Wed Dec 09 11:20 AM -- 11:40 AM (PST)
Bootstrapping from Game Tree Search
Oral
Wed Dec 09 11:40 AM -- 12:00 PM (PST)
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
Break
Wed Dec 09 12:00 PM -- 02:00 PM (PST)
Lunch Break
Invited Talk
Wed Dec 09 02:00 PM -- 03:00 PM (PST)
Learning and Inference in Low-Level Vision
Session
Wed Dec 09 02:00 PM -- 03:20 PM (PST)
Oral session 7: Vision and Inference
Oral
Wed Dec 09 03:00 PM -- 03:20 PM (PST)
An LP View of the M-Best MAP Problem
Session
Wed Dec 09 03:20 PM -- 03:40 PM (PST)
Spotlights
Spotlight
Wed Dec 09 03:23 PM -- 03:24 PM (PST)
Quantification and the language of thought
In
Spotlights
Spotlight
Wed Dec 09 03:24 PM -- 03:25 PM (PST)
Fast Image Deconvolution using Hyper-Laplacian Priors
In
Spotlights
Spotlight
Wed Dec 09 03:25 PM -- 03:26 PM (PST)
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
In
Spotlights
Spotlight
Wed Dec 09 03:26 PM -- 03:27 PM (PST)
A Data-Driven Approach to Modeling Choice
In
Spotlights
Spotlight
Wed Dec 09 03:27 PM -- 03:28 PM (PST)
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data
In
Spotlights
Spotlight
Wed Dec 09 03:28 PM -- 03:29 PM (PST)
Region-based Segmentation and Object Detection
In
Spotlights
Spotlight
Wed Dec 09 03:29 PM -- 03:30 PM (PST)
Anomaly Detection with Score functions based on Nearest Neighbor Graphs
In
Spotlights
Spotlight
Wed Dec 09 03:30 PM -- 03:31 PM (PST)
Adaptive Regularization of Weight Vectors
In
Spotlights
Spotlight
Wed Dec 09 03:31 PM -- 03:32 PM (PST)
Adaptive Regularization for Transductive Support Vector Machine
In
Spotlights
Spotlight
Wed Dec 09 03:32 PM -- 03:33 PM (PST)
Variational Gaussian-process factor analysis for modeling spatio-temporal data
In
Spotlights
Spotlight
Wed Dec 09 03:33 PM -- 03:34 PM (PST)
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory
In
Spotlights
Spotlight
Wed Dec 09 03:34 PM -- 03:35 PM (PST)
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming
In
Spotlights
Spotlight
Wed Dec 09 03:35 PM -- 03:36 PM (PST)
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data
In
Spotlights
Break
Wed Dec 09 03:40 PM -- 04:10 PM (PST)
Break
Oral
Wed Dec 09 04:10 PM -- 04:30 PM (PST)
Reading Tea Leaves: How Humans Interpret Topic Models
Session
Wed Dec 09 04:10 PM -- 05:10 PM (PST)
Oral session 8: Probabilistic Models and Kernels
Oral
Wed Dec 09 04:30 PM -- 04:50 PM (PST)
Sharing Features among Dynamical Systems with Beta Processes
Oral
Wed Dec 09 04:50 PM -- 05:10 PM (PST)
Fast Subtree Kernels on Graphs
Session
Wed Dec 09 05:10 PM -- 05:30 PM (PST)
Spotlights
Spotlight
Wed Dec 09 05:13 PM -- 05:14 PM (PST)
Tracking Dynamic Sources of Malicious Activity at Internet Scale
In
Spotlights
Spotlight
Wed Dec 09 05:14 PM -- 05:15 PM (PST)
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining
In
Spotlights
Spotlight
Wed Dec 09 05:15 PM -- 05:16 PM (PST)
Efficient Match Kernel between Sets of Features for Visual Recognition
In
Spotlights
Spotlight
Wed Dec 09 05:16 PM -- 05:17 PM (PST)
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis
In
Spotlights
Spotlight
Wed Dec 09 05:17 PM -- 05:18 PM (PST)
Learning to Hash with Binary Reconstructive Embeddings
In
Spotlights
Spotlight
Wed Dec 09 05:18 PM -- 05:19 PM (PST)
Perceptual Multistability as Markov Chain Monte Carlo Inference
In
Spotlights
Spotlight
Wed Dec 09 05:19 PM -- 05:20 PM (PST)
Information-theoretic lower bounds on the oracle complexity of convex optimization
In
Spotlights
Spotlight
Wed Dec 09 05:20 PM -- 05:21 PM (PST)
Hierarchical Learning of Dimensional Biases in Human Categorization
In
Spotlights
Spotlight
Wed Dec 09 05:21 PM -- 05:22 PM (PST)
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness
In
Spotlights
Spotlight
Wed Dec 09 05:22 PM -- 05:23 PM (PST)
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling
In
Spotlights
Spotlight
Wed Dec 09 05:23 PM -- 05:24 PM (PST)
Posterior vs Parameter Sparsity in Latent Variable Models
In
Spotlights
Spotlight
Wed Dec 09 05:24 PM -- 05:25 PM (PST)
Structural inference affects depth perception in the context of potential occlusion
In
Spotlights
Spotlight
Wed Dec 09 05:25 PM -- 05:26 PM (PST)
Bilinear classifiers for visual recognition
In
Spotlights
Break
Wed Dec 09 05:30 PM -- 07:30 PM (PST)
Dinner Break
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
A Game-Theoretic Approach to Hypergraph Clustering
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Fast Image Deconvolution using Hyper-Laplacian Priors
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Heterogeneous multitask learning with joint sparsity constraints
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Canonical Time Warping for Alignment of Human Behavior
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Particle-based Variational Inference for Continuous Systems
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Know Thy Neighbour: A Normative Theory of Synaptic Depression
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Sufficient Conditions for Agnostic Active Learnable
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Structural inference affects depth perception in the context of potential occlusion
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
On Stochastic and Worst-case Models for Investing
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Efficient Match Kernel between Sets of Features for Visual Recognition
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Modeling the spacing effect in sequential category learning
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Convex Relaxation of Mixture Regression with Efficient Algorithms
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Bayesian Nonparametric Models on Decomposable Graphs
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Variational Gaussian-process factor analysis for modeling spatio-temporal data
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Information-theoretic lower bounds on the oracle complexity of convex optimization
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Posterior vs Parameter Sparsity in Latent Variable Models
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning transport operators for image manifolds
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Localizing Bugs in Program Executions with Graphical Models
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Approximating MAP by Compensating for Structural Relaxations
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Help or Hinder: Bayesian Models of Social Goal Inference
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Tracking Dynamic Sources of Malicious Activity at Internet Scale
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Complexity of Decentralized Control: Special Cases
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning to Hash with Binary Reconstructive Embeddings
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Who’s Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Hierarchical Learning of Dimensional Biases in Human Categorization
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Perceptual Multistability as Markov Chain Monte Carlo Inference
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Unsupervised Detection of Regions of Interest Using Iterative Link Analysis
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
The Ordered Residual Kernel for Robust Motion Subspace Clustering
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Manifold Regularization for SIR with Rate Root-n Convergence
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Anomaly Detection with Score functions based on Nearest Neighbor Graphs
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Bayesian Source Localization with the Multivariate Laplace Prior
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Reading Tea Leaves: How Humans Interpret Topic Models
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Efficient Learning using Forward-Backward Splitting
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Neurometric function analysis of population codes
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Adaptive Regularization for Transductive Support Vector Machine
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Sharing Features among Dynamical Systems with Beta Processes
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Multi-Step Dyna Planning for Policy Evaluation and Control
[ PDF]
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Sparse Estimation Using General Likelihoods and Non-Factorial Priors
[ PDF]
Session
Wed Dec 09 07:30 PM -- 11:59 PM (PST)
Poster Session
Break
Thu Dec 10 07:30 AM -- 09:00 AM (PST) @ Regency A - Conference Level
Breakfast
Placeholder
Thu Dec 10 08:00 AM -- 11:00 AM (PST) @ Queen Charlotte
Registration Desk
Placeholder
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ Oxford
Internet Cafe
Invited Talk
Thu Dec 10 08:30 AM -- 09:30 AM (PST)
Bayesian Analysis of Markov Chains
Session
Thu Dec 10 08:30 AM -- 09:50 AM (PST)
Oral session 9: Bayesian Analysis
Oral
Thu Dec 10 09:30 AM -- 09:50 AM (PST)
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models
Break
Thu Dec 10 09:50 AM -- 10:30 AM (PST)
Break
Oral
Thu Dec 10 10:30 AM -- 10:50 AM (PST)
Time-rescaling Methods for the Estimation and Assessment of Non-Poisson Neural Encoding Models
Session
Thu Dec 10 10:30 AM -- 11:50 AM (PST)
Oral session 10: Neural Modeling and Imaging
Invited Talk
Thu Dec 10 10:50 AM -- 11:50 AM (PST)
Optogenetics: Development and Application
Break
Thu Dec 10 11:50 AM -- 01:30 PM (PST)
Lunch Break
Mini Symposium
Thu Dec 10 01:30 PM -- 04:30 PM (PST) @ Regency E/F
Partially Observable Reinforcement Learning
Mini Symposium
Thu Dec 10 01:30 PM -- 04:30 PM (PST) @ Regency C
Machine Learning in Computational Biology
Mini Symposium
Thu Dec 10 01:30 PM -- 04:30 PM (PST) @ Regency A
Causality and Time Series Analysis
Mini Symposium
Thu Dec 10 01:30 PM -- 04:30 PM (PST) @ Regency B
Assistive Machine Learning for People with Disabilities
Mini Symposium
Thu Dec 10 01:30 PM -- 04:30 PM (PST) @ Regency D
Machine Learning for Sustainability
Session
Thu Dec 10 01:30 PM -- 04:30 PM (PST) @ Hyatt Regency, Vancouver
Mini Symposia
Break
Thu Dec 10 02:50 PM -- 03:10 PM (PST)
Break
Placeholder
Thu Dec 10 05:00 PM -- 08:30 PM (PST) @ Westin Lobby, Whistler
Registration Desk
Placeholder
Thu Dec 10 09:30 PM -- 09:40 PM (PST) @ Emerald Ballroom, Westin, Whistler
Opening Remarks
Invited Talk
Thu Dec 10 09:40 PM -- 10:30 PM (PST) @ Westin: Emerald
Cognitive Dynamic Radio
Break
Fri Dec 11 06:30 AM -- 08:00 AM (PST) @ Westin Lobby, Whistler
Breakfast
Placeholder
Fri Dec 11 07:00 AM -- 11:00 AM (PST) @ Westin Lobby, Whistler
Registration Desk
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe B
Understanding Multiple Kernel Learning Methods
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Glacier
Statistical Machine Learning for Visual Analytics
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Emerald A
Adaptive Sensing, Active Learning, and Experimental Design
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine DE
Machine Learning in Computational Biology
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Cheakamus
Discrete Optimization in Machine Learning: Submodularity, Polyhedra and Sparsity
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe A
Grammar Induction, Representation of Language and Language Learning
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Diamond Head
Advances in Ranking
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Black Tusk
The Curse of Dimensionality Problem: How Can the Brain Solve It?
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt. Currie North
Large-Scale Machine Learning: Parallelism and Massive Datasets
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt. Currie South
Clustering: Science or art? Towards principled approaches
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine A
Normative electrophysiology: Explaining cellular properties of neurons from first principles
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Callaghan
Applications for Topic Models: Text and Beyond
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine BC
Probabilistic Approaches for Control and Robotics
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Nordic
Analyzing Networks and Learning With Graphs
Break
Fri Dec 11 09:00 AM -- 09:30 AM (PST)
Coffee Break
Placeholder
Fri Dec 11 03:30 PM -- 06:45 PM (PST) @ Westin Lobby, Whistler
Registration Desk
Break
Fri Dec 11 05:00 PM -- 05:30 PM (PST)
Coffee Break
Break
Sat Dec 12 06:30 AM -- 08:00 AM (PST) @ Westin Lobby, Whistler
Breakfast
Placeholder
Sat Dec 12 07:00 AM -- 11:00 AM (PST) @ Westin Lobby, Whistler
Registration Desk
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Westin: Emerald A
Nonparametric Bayes
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Westin: Callaghan
Transfer Learning for Structured Data
Workshop
Sat Dec 12 07:30 AM -- 10:00 PM (PST) @ Westin: Nordic
Connectivity Inference in Neuroimaging
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Black Tusk
Analysis and Design of Algorithms for Interactive Machine Learning
Workshop
Sat Dec 12 07:30 AM -- 06:45 PM (PST) @ Westin: Glacier
Temporal Segmentation: Perspectives from Statistics, Machine Learning, and Signal Processing
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt. Currie North
Approximate Learning of Large Scale Graphical Models
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine A
Kernels for Multiple Outputs and Multi-task Learning: Frequentist and Bayesian Points of View
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Cheakamus
Deep Learning for Speech Recognition and Related Applications
Workshop
Sat Dec 12 07:30 AM -- 07:00 PM (PST) @ Westin: Alpine DE
The Generative and Discriminative Learning Interface
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt. Currie South
Manifolds, sparsity, and structured models: When can low-dimensional geometry really help?
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Diamond Head
Learning with Orderings
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine BC
Bounded-rational analyses of human cognition: Bayesian models, approximate inference, and the brain
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe B
Optimization for Machine Learning
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe A
Learning from Multiple Sources with Applications to Robotics
Break
Sat Dec 12 09:00 AM -- 09:30 AM (PST)
Coffee Break
Placeholder
Sat Dec 12 03:30 PM -- 06:45 PM (PST) @ Westin Lobby, Vancouver
Registration Desk
Break
Sat Dec 12 05:00 PM -- 05:30 PM (PST)
Coffee Break
Session
Sat Dec 12 07:00 PM -- 10:00 PM (PST) @ Westin - Emerald Ballroom
Banquet