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 Fri Dec 06, 2013

Time Harrah's Special Events Center, 2nd Floor
07:00 PM (Posters)
Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively Harrah's Special Events Center, 2nd Floor
Provable Subspace Clustering: When LRR meets SSC Harrah's Special Events Center, 2nd Floor
On Decomposing the Proximal Map Harrah's Special Events Center, 2nd Floor
Transportability from Multiple Environments with Limited Experiments Harrah's Special Events Center, 2nd Floor
Causal Inference on Time Series using Restricted Structural Equation Models Harrah's Special Events Center, 2nd Floor
Variance Reduction for Stochastic Gradient Optimization Harrah's Special Events Center, 2nd Floor
A simple example of Dirichlet process mixture inconsistency for the number of components Harrah's Special Events Center, 2nd Floor
Correlations strike back (again): the case of associative memory retrieval Harrah's Special Events Center, 2nd Floor
Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition Harrah's Special Events Center, 2nd Floor
Dropout Training as Adaptive Regularization Harrah's Special Events Center, 2nd Floor
Learning Stochastic Feedforward Neural Networks Harrah's Special Events Center, 2nd Floor
Inferring neural population dynamics from multiple partial recordings of the same neural circuit Harrah's Special Events Center, 2nd Floor
Multi-Prediction Deep Boltzmann Machines Harrah's Special Events Center, 2nd Floor
Large Scale Distributed Sparse Precision Estimation Harrah's Special Events Center, 2nd Floor
Neural representation of action sequences: how far can a simple snippet-matching model take us? Harrah's Special Events Center, 2nd Floor
Structured Learning via Logistic Regression Harrah's Special Events Center, 2nd Floor
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation Harrah's Special Events Center, 2nd Floor
Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems Harrah's Special Events Center, 2nd Floor
Unsupervised Spectral Learning of Finite State Transducers Harrah's Special Events Center, 2nd Floor
Learning Multi-level Sparse Representations Harrah's Special Events Center, 2nd Floor
Regret based Robust Solutions for Uncertain Markov Decision Processes Harrah's Special Events Center, 2nd Floor
Generalized Denoising Auto-Encoders as Generative Models Harrah's Special Events Center, 2nd Floor
Low-rank matrix reconstruction and clustering via approximate message passing Harrah's Special Events Center, 2nd Floor
Reasoning With Neural Tensor Networks for Knowledge Base Completion Harrah's Special Events Center, 2nd Floor
Zero-Shot Learning Through Cross-Modal Transfer Harrah's Special Events Center, 2nd Floor
Efficient Online Inference for Bayesian Nonparametric Relational Models Harrah's Special Events Center, 2nd Floor
Approximate inference in latent Gaussian-Markov models from continuous time observations Harrah's Special Events Center, 2nd Floor
Wavelets on Graphs via Deep Learning Harrah's Special Events Center, 2nd Floor
A memory frontier for complex synapses Harrah's Special Events Center, 2nd Floor
Learning with Noisy Labels Harrah's Special Events Center, 2nd Floor
Graphical Models for Inference with Missing Data Harrah's Special Events Center, 2nd Floor
Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs Harrah's Special Events Center, 2nd Floor
A Deep Architecture for Matching Short Texts Harrah's Special Events Center, 2nd Floor
Nonparametric Multi-group Membership Model for Dynamic Networks Harrah's Special Events Center, 2nd Floor
Optimistic Concurrency Control for Distributed Unsupervised Learning Harrah's Special Events Center, 2nd Floor
Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering Harrah's Special Events Center, 2nd Floor
Robust Image Denoising with Multi-Column Deep Neural Networks Harrah's Special Events Center, 2nd Floor
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs Harrah's Special Events Center, 2nd Floor
Firing rate predictions in optimal balanced networks Harrah's Special Events Center, 2nd Floor
Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty Harrah's Special Events Center, 2nd Floor
Near-Optimal Entrywise Sampling for Data Matrices Harrah's Special Events Center, 2nd Floor
Bayesian Hierarchical Community Discovery Harrah's Special Events Center, 2nd Floor
Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors Harrah's Special Events Center, 2nd Floor
Noise-Enhanced Associative Memories Harrah's Special Events Center, 2nd Floor
Exact and Stable Recovery of Pairwise Interaction Tensors Harrah's Special Events Center, 2nd Floor
Bayesian entropy estimation for binary spike train data using parametric prior knowledge Harrah's Special Events Center, 2nd Floor
Perfect Associative Learning with Spike-Timing-Dependent Plasticity Harrah's Special Events Center, 2nd Floor
Matrix Completion From any Given Set of Observations Harrah's Special Events Center, 2nd Floor
Stochastic Optimization of PCA with Capped MSG Harrah's Special Events Center, 2nd Floor
Top-Down Regularization of Deep Belief Networks Harrah's Special Events Center, 2nd Floor
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions Harrah's Special Events Center, 2nd Floor
Machine Teaching for Bayesian Learners in the Exponential Family Harrah's Special Events Center, 2nd Floor
A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data Harrah's Special Events Center, 2nd Floor
Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model Harrah's Special Events Center, 2nd Floor
Demixing odors - fast inference in olfaction Harrah's Special Events Center, 2nd Floor
Distributed Submodular Maximization: Identifying Representative Elements in Massive Data Harrah's Special Events Center, 2nd Floor
Discriminative Transfer Learning with Tree-based Priors Harrah's Special Events Center, 2nd Floor
Predicting Parameters in Deep Learning Harrah's Special Events Center, 2nd Floor
RNADE: The real-valued neural autoregressive density-estimator Harrah's Special Events Center, 2nd Floor
Reconciling "priors'' & "priors" without prejudice? Harrah's Special Events Center, 2nd Floor
Compete to Compute Harrah's Special Events Center, 2nd Floor
Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests Harrah's Special Events Center, 2nd Floor
Universal models for binary spike patterns using centered Dirichlet processes Harrah's Special Events Center, 2nd Floor
Integrated Non-Factorized Variational Inference Harrah's Special Events Center, 2nd Floor
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions Harrah's Special Events Center, 2nd Floor
Flexible sampling of discrete data correlations without the marginal distributions Harrah's Special Events Center, 2nd Floor
Restricting exchangeable nonparametric distributions Harrah's Special Events Center, 2nd Floor
Capacity of strong attractor patterns to model behavioural and cognitive prototypes Harrah's Special Events Center, 2nd Floor
Analyzing Hogwild Parallel Gaussian Gibbs Sampling Harrah's Special Events Center, 2nd Floor
Annealing between distributions by averaging moments Harrah's Special Events Center, 2nd Floor
Translating Embeddings for Modeling Multi-relational Data Harrah's Special Events Center, 2nd Floor
Phase Retrieval using Alternating Minimization Harrah's Special Events Center, 2nd Floor
Real-Time Inference for a Gamma Process Model of Neural Spiking Harrah's Special Events Center, 2nd Floor
Understanding Dropout Harrah's Special Events Center, 2nd Floor
On the Complexity and Approximation of Binary Evidence in Lifted Inference Harrah's Special Events Center, 2nd Floor
On the Expressive Power of Restricted Boltzmann Machines Harrah's Special Events Center, 2nd Floor
Memory Limited, Streaming PCA Harrah's Special Events Center, 2nd Floor
Bayesian inference as iterated random functions with applications to sequential inference in graphical models Harrah's Special Events Center, 2nd Floor
A New Convex Relaxation for Tensor Completion Harrah's Special Events Center, 2nd Floor
Variational Planning for Graph-based MDPs Harrah's Special Events Center, 2nd Floor
Convex Two-Layer Modeling Harrah's Special Events Center, 2nd Floor
Adaptive dropout for training deep neural networks Harrah's Special Events Center, 2nd Floor
Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex Harrah's Special Events Center, 2nd Floor
Distributed Representations of Words and Phrases and their Compositionality Harrah's Special Events Center, 2nd Floor
Recurrent linear models of simultaneously-recorded neural populations Harrah's Special Events Center, 2nd Floor
Scalable Influence Estimation in Continuous-Time Diffusion Networks Harrah's Special Events Center, 2nd Floor
Multisensory Encoding, Decoding, and Identification Harrah's Special Events Center, 2nd Floor
Adaptive Anonymity via $b$-Matching Harrah's Special Events Center, 2nd Floor
Matrix factorization with binary components Harrah's Special Events Center, 2nd Floor
Learning to Pass Expectation Propagation Messages Harrah's Special Events Center, 2nd Floor