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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Variational Inference for the Nested Chinese Restaurant Process
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Modeling Social Annotation Data with Content Relevance using a Topic Model
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Ranking Measures and Loss Functions in Learning to Rank
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Toward Provably Correct Feature Selection in Arbitrary Domains
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Non-stationary continuous dynamic Bayesian networks
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Matrix Completion from Power-Law Distributed Samples
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Monte Carlo Sampling for Regret Minimization in Extensive Games
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Periodic Step Size Adaptation for Single Pass On-line Learning
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
The Wisdom of Crowds in the Recollection of Order Information
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Beyond Convexity: Online Submodular Minimization
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Multiple Incremental Decremental Learning of Support Vector Machines
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Measuring model complexity with the prior predictive
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Code-specific policy gradient rules for spiking neurons
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
The "tree-dependent components" of natural scenes are edge filters
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Sparsistent Learning of Varying-coefficient Models with Structural Changes
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Nonparametric Latent Feature Models for Link Prediction
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Robust Nonparametric Regression with Metric-Space Valued Output
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Sequential effects reflect parallel learning of multiple environmental regularities
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
White Functionals for Anomaly Detection in Dynamical Systems
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Bayesian estimation of orientation preference maps
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Modelling Relational Data using Bayesian Clustered Tensor Factorization
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Unsupervised Feature Selection for the $k$-means Clustering Problem
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
An Online Algorithm for Large Scale Image Similarity Learning
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Sparse and Locally Constant Gaussian Graphical Models
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Positive Semidefinite Metric Learning with Boosting
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Distribution-Calibrated Hierarchical Classification
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME)
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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
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Semi-supervised Learning using Sparse Eigenfunction Bases
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Stochastic approximation method for inference in probabilistic graphical models
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification
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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
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Heavy-Tailed Symmetric Stochastic Neighbor Embedding
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Dual Averaging Method for Regularized Stochastic Learning and Online Optimization
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process
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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
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Structured output regression for detection with partial truncation
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Individuation, Identification and Object Discovery
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Nonparametric Bayesian Texture Learning and Synthesis
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
DUOL: A Double Updating Approach for Online Learning
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Estimating image bases for visual image reconstruction from human brain activity
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Biologically Plausible Model for Rapid Natural Scene Identification
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Optimal context separation of spiking haptic signals by second-order somatosensory neurons
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Asymptotically Optimal Regularization in Smooth Parametric Models
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Gaussian process regression with Student-t likelihood
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Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
On the Convergence of the Concave-Convex Procedure
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Kernels and learning curves for Gaussian process regression on random graphs
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
STDP enables spiking neurons to detect hidden causes of their inputs
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Fast, smooth and adaptive regression in metric spaces
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Accelerated Gradient Methods for Stochastic Optimization and Online Learning
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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
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Adapting to the Shifting Intent of Search Queries
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Efficient and Accurate Lp-Norm Multiple Kernel Learning
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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
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Learning in Markov Random Fields using Tempered Transitions
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Maximum likelihood trajectories for continuous-time Markov chains
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Nonlinear Learning using Local Coordinate Coding
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Adaptive Design Optimization in Experiments with People
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Nonparametric Greedy Algorithms for the Sparse Learning Problem
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Bayesian Sparse Factor Models and DAGs Inference and Comparison
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
The Infinite Partially Observable Markov Decision Process
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Linear-time Algorithms for Pairwise Statistical Problems
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Linearly constrained Bayesian matrix factorization for blind source separation
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
An Additive Latent Feature Model for Transparent Object Recognition
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Semi-Supervised Learning in Gigantic Image Collections
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Speaker Comparison with Inner Product Discriminant Functions
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A Gaussian Tree Approximation for Integer Least-Squares
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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
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Regularized Distance Metric Learning:Theory and Algorithm
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Conditional Random Fields with High-Order Features for Sequence Labeling
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Sensitivity analysis in HMMs with application to likelihood maximization
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Data-driven calibration of linear estimators with minimal penalties
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A joint maximum-entropy model for binary neural population patterns and continuous signals
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Robust Value Function Approximation Using Bilinear Programming
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
No evidence for active sparsification in the visual cortex
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Locality-sensitive binary codes from shift-invariant kernels
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A General Projection Property for Distribution Families
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Filtering Abstract Senses From Image Search Results
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Unsupervised feature learning for audio classification using convolutional deep belief networks
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Nonlinear directed acyclic structure learning with weakly additive noise models
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
An Integer Projected Fixed Point Method for Graph Matching and MAP Inference
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Perceptual Multistability as Markov Chain Monte Carlo Inference
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Help or Hinder: Bayesian Models of Social Goal Inference
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Multi-Step Dyna Planning for Policy Evaluation and Control
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Neurometric function analysis of population codes
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Sufficient Conditions for Agnostic Active Learnable
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Localizing Bugs in Program Executions with Graphical Models
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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
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Posterior vs Parameter Sparsity in Latent Variable Models
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Tracking Dynamic Sources of Malicious Activity at Internet Scale
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Efficient Match Kernel between Sets of Features for Visual Recognition
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Hierarchical Learning of Dimensional Biases in Human Categorization
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Complexity of Decentralized Control: Special Cases
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Reading Tea Leaves: How Humans Interpret Topic Models
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Modeling the spacing effect in sequential category learning
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Particle-based Variational Inference for Continuous Systems
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Information-theoretic lower bounds on the oracle complexity of convex optimization
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Sparse Estimation Using General Likelihoods and Non-Factorial Priors
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Canonical Time Warping for Alignment of Human Behavior
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Approximating MAP by Compensating for Structural Relaxations
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Bayesian Nonparametric Models on Decomposable Graphs
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
The Ordered Residual Kernel for Robust Motion Subspace Clustering
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Fast Image Deconvolution using Hyper-Laplacian Priors
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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
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
A Game-Theoretic Approach to Hypergraph Clustering
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
On Stochastic and Worst-case Models for Investing
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Anomaly Detection with Score functions based on Nearest Neighbor Graphs
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Convex Relaxation of Mixture Regression with Efficient Algorithms
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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
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Unsupervised Detection of Regions of Interest Using Iterative Link Analysis
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Adaptive Regularization for Transductive Support Vector Machine
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Variational Gaussian-process factor analysis for modeling spatio-temporal data
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Manifold Regularization for SIR with Rate Root-n Convergence
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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
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning transport operators for image manifolds
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Bayesian Source Localization with the Multivariate Laplace Prior
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Structural inference affects depth perception in the context of potential occlusion
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Know Thy Neighbour: A Normative Theory of Synaptic Depression
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Heterogeneous multitask learning with joint sparsity constraints
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Efficient Learning using Forward-Backward Splitting
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning to Hash with Binary Reconstructive Embeddings
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Sharing Features among Dynamical Systems with Beta Processes
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Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness
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