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 Tue Dec 04, 2012

Time Harrah’s Special Events Center 2nd Floor
07:00 PM (Posters)
LUCID: Locally Uniform Comparison Image Descriptor Harrah’s Special Events Center 2nd Floor
Approximating Concavely Parameterized Optimization Problems Harrah’s Special Events Center 2nd Floor
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models Harrah’s Special Events Center 2nd Floor
Bayesian Hierarchical Reinforcement Learning Harrah’s Special Events Center 2nd Floor
A Generative Model for Parts-based Object Segmentation Harrah’s Special Events Center 2nd Floor
Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions Harrah’s Special Events Center 2nd Floor
Deep Representations and Codes for Image Auto-Annotation Harrah’s Special Events Center 2nd Floor
Online allocation and homogeneous partitioning for piecewise constant mean-approximation Harrah’s Special Events Center 2nd Floor
Learning Probability Measures with respect to Optimal Transport Metrics Harrah’s Special Events Center 2nd Floor
Modeling the Forgetting Process using Image Regions Harrah’s Special Events Center 2nd Floor
Max-Margin Structured Output Regression for Spatio-Temporal Action Localization Harrah’s Special Events Center 2nd Floor
TCA: High Dimensional Principal Component Analysis for non-Gaussian Data Harrah’s Special Events Center 2nd Floor
Stochastic Gradient Descent with Only One Projection Harrah’s Special Events Center 2nd Floor
Multi-Task Averaging Harrah’s Special Events Center 2nd Floor
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions Harrah’s Special Events Center 2nd Floor
Discriminatively Trained Sparse Code Gradients for Contour Detection Harrah’s Special Events Center 2nd Floor
Analyzing 3D Objects in Cluttered Images Harrah’s Special Events Center 2nd Floor
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model Harrah’s Special Events Center 2nd Floor
Convex Multi-view Subspace Learning Harrah’s Special Events Center 2nd Floor
High Dimensional Semiparametric Scale-invariant Principal Component Analysis Harrah’s Special Events Center 2nd Floor
Learning about Canonical Views from Internet Image Collections Harrah’s Special Events Center 2nd Floor
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data Harrah’s Special Events Center 2nd Floor
Localizing 3D cuboids in single-view images Harrah’s Special Events Center 2nd Floor
Learning to Align from Scratch Harrah’s Special Events Center 2nd Floor
High Dimensional Transelliptical Graphical Models Harrah’s Special Events Center 2nd Floor
Kernel Latent SVM for Visual Recognition Harrah’s Special Events Center 2nd Floor
Learning Partially Observable Models Using Temporally Abstract Decision Trees Harrah’s Special Events Center 2nd Floor
Multi-criteria Anomaly Detection using Pareto Depth Analysis Harrah’s Special Events Center 2nd Floor
Calibrated Elastic Regularization in Matrix Completion Harrah’s Special Events Center 2nd Floor
Timely Object Recognition Harrah’s Special Events Center 2nd Floor
Phoneme Classification using Constrained Variational Gaussian Process Dynamical System Harrah’s Special Events Center 2nd Floor
Emergence of Object-Selective Features in Unsupervised Feature Learning Harrah’s Special Events Center 2nd Floor
Matrix reconstruction with the local max norm Harrah’s Special Events Center 2nd Floor
Scaled Gradients on Grassmann Manifolds for Matrix Completion Harrah’s Special Events Center 2nd Floor
Minimization of Continuous Bethe Approximations: A Positive Variation Harrah’s Special Events Center 2nd Floor
Expectation Propagation in Gaussian Process Dynamical Systems Harrah’s Special Events Center 2nd Floor
Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs Harrah’s Special Events Center 2nd Floor
Training sparse natural image models with a fast Gibbs sampler of an extended state space Harrah’s Special Events Center 2nd Floor
Active Comparison of Prediction Models Harrah’s Special Events Center 2nd Floor
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods Harrah’s Special Events Center 2nd Floor
Semi-Supervised Domain Adaptation with Non-Parametric Copulas Harrah’s Special Events Center 2nd Floor
Active Learning of Multi-Index Function Models Harrah’s Special Events Center 2nd Floor
Interpreting prediction markets: a stochastic approach Harrah’s Special Events Center 2nd Floor
On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization Harrah’s Special Events Center 2nd Floor
Random function priors for exchangeable graphs and arrays Harrah’s Special Events Center 2nd Floor
A Polylog Pivot Steps Simplex Algorithm for Classification Harrah’s Special Events Center 2nd Floor
Graphical Gaussian Vector for Image Categorization Harrah’s Special Events Center 2nd Floor
A Stochastic Gradient Method with an Exponential Convergence 
Rate for Finite Training Sets Harrah’s Special Events Center 2nd Floor
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery Harrah’s Special Events Center 2nd Floor
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Harrah’s Special Events Center 2nd Floor
Semantic Kernel Forests from Multiple Taxonomies Harrah’s Special Events Center 2nd Floor
Causal discovery with scale-mixture model for spatiotemporal variance dependencies Harrah’s Special Events Center 2nd Floor
On Lifting the Gibbs Sampling Algorithm Harrah’s Special Events Center 2nd Floor
Repulsive Mixtures Harrah’s Special Events Center 2nd Floor
Fully Bayesian inference for neural models with negative-binomial spiking Harrah’s Special Events Center 2nd Floor
Slice Normalized Dynamic Markov Logic Networks Harrah’s Special Events Center 2nd Floor
Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification Harrah’s Special Events Center 2nd Floor
The Perturbed Variation Harrah’s Special Events Center 2nd Floor
Risk-Aversion in Multi-armed Bandits Harrah’s Special Events Center 2nd Floor
From Deformations to Parts: Motion-based Segmentation of 3D Objects Harrah’s Special Events Center 2nd Floor
Active Learning of Model Evidence Using Bayesian Quadrature Harrah’s Special Events Center 2nd Floor
A Geometric take on Metric Learning Harrah’s Special Events Center 2nd Floor
Accelerated Training for Matrix-norm Regularization: A Boosting Approach Harrah’s Special Events Center 2nd Floor
Volume Regularization for Binary Classification Harrah’s Special Events Center 2nd Floor
Multimodal Learning with Deep Boltzmann Machines Harrah’s Special Events Center 2nd Floor
Online Sum-Product Computation Harrah’s Special Events Center 2nd Floor
A systematic approach to extracting semantic information from functional MRI data Harrah’s Special Events Center 2nd Floor
Fast Resampling Weighted v-Statistics Harrah’s Special Events Center 2nd Floor
Bayesian active learning with localized priors for fast receptive field characterization Harrah’s Special Events Center 2nd Floor
Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders Harrah’s Special Events Center 2nd Floor
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression Harrah’s Special Events Center 2nd Floor
Learning with Target Prior Harrah’s Special Events Center 2nd Floor
A Better Way to Pre-Train Deep Boltzmann Machines Harrah’s Special Events Center 2nd Floor
Spectral Learning of General Weighted Automata via Constrained Matrix Completion Harrah’s Special Events Center 2nd Floor
Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs Harrah’s Special Events Center 2nd Floor
Semi-supervised Eigenvectors for Locally-biased Learning Harrah’s Special Events Center 2nd Floor
Fast Variational Inference in the Conjugate Exponential Family Harrah’s Special Events Center 2nd Floor
Perfect Dimensionality Recovery by Variational Bayesian PCA Harrah’s Special Events Center 2nd Floor
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization Harrah’s Special Events Center 2nd Floor
Optimal Regularized Dual Averaging Methods for Stochastic Optimization Harrah’s Special Events Center 2nd Floor
Multiplicative Forests for Continuous-Time Processes Harrah’s Special Events Center 2nd Floor
Density Propagation and Improved Bounds on the Partition Function Harrah’s Special Events Center 2nd Floor
Putting Bayes to sleep Harrah’s Special Events Center 2nd Floor
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins Harrah’s Special Events Center 2nd Floor
Minimizing Sparse High-Order Energies by Submodular Vertex-Cover Harrah’s Special Events Center 2nd Floor
Minimizing Uncertainty in Pipelines Harrah’s Special Events Center 2nd Floor
Learning with Partially Absorbing Random Walks Harrah’s Special Events Center 2nd Floor
Unsupervised template learning for fine-grained object recognition Harrah’s Special Events Center 2nd Floor
Entangled Monte Carlo Harrah’s Special Events Center 2nd Floor
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models Harrah’s Special Events Center 2nd Floor
Continuous Relaxations for Discrete Hamiltonian Monte Carlo Harrah’s Special Events Center 2nd Floor
Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand Harrah’s Special Events Center 2nd Floor
Hierarchical Optimistic Region Selection driven by Curiosity Harrah’s Special Events Center 2nd Floor