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 Thu Dec 06, 2012

Time Harrah’s Special Events Center 2nd Floor
02:00 PM (Posters)
Learning from Distributions via Support Measure Machines Harrah’s Special Events Center 2nd Floor #None
Multiresolution Gaussian Processes Harrah’s Special Events Center 2nd Floor #None
Cocktail Party Processing via Structured Prediction Harrah’s Special Events Center 2nd Floor #None
Robustness and risk-sensitivity in Markov decision processes Harrah’s Special Events Center 2nd Floor #None
Dynamical And-Or Graph Learning for Object Shape Modeling and Detection Harrah’s Special Events Center 2nd Floor #None
Learning Image Descriptors with the Boosting-Trick Harrah’s Special Events Center 2nd Floor #None
Selective Labeling via Error Bound Minimization Harrah’s Special Events Center 2nd Floor #None
Image Denoising and Inpainting with Deep Neural Networks Harrah’s Special Events Center 2nd Floor #None
Non-parametric Approximate Dynamic Programming via the Kernel Method Harrah’s Special Events Center 2nd Floor #None
Learning to Discover Social Circles in Ego Networks Harrah’s Special Events Center 2nd Floor #None
Multi-Stage Multi-Task Feature Learning Harrah’s Special Events Center 2nd Floor #None
Recursive Deep Learning on 3D Point Clouds Harrah’s Special Events Center 2nd Floor #None
Efficient and direct estimation of a neural subunit model for sensory coding Harrah’s Special Events Center 2nd Floor #None
Bayesian Warped Gaussian Processes Harrah’s Special Events Center 2nd Floor #None
A quasi-Newton proximal splitting method Harrah’s Special Events Center 2nd Floor #None
Searching for objects driven by context Harrah’s Special Events Center 2nd Floor #None
Accuracy at the Top Harrah’s Special Events Center 2nd Floor #None
Inverse Reinforcement Learning through Structured Classification Harrah’s Special Events Center 2nd Floor #None
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search Harrah’s Special Events Center 2nd Floor #None
Hamming Distance Metric Learning Harrah’s Special Events Center 2nd Floor #None
A Bayesian Approach for Policy Learning from Trajectory Preference Queries Harrah’s Special Events Center 2nd Floor #None
GenDeR: A Generic Diversified Ranking Algorithm Harrah’s Special Events Center 2nd Floor #None
On Multilabel Classification and Ranking with Partial Feedback Harrah’s Special Events Center 2nd Floor #None
Fused sparsity and robust estimation for linear models with unknown variance Harrah’s Special Events Center 2nd Floor #None
Value Pursuit Iteration Harrah’s Special Events Center 2nd Floor #None
Shifting Weights: Adapting Object Detectors from Image to Video Harrah’s Special Events Center 2nd Floor #None
Joint Modeling of a Matrix with Associated Text via Latent Binary Features Harrah’s Special Events Center 2nd Floor #None
Sparse Prediction with the $k$-Support Norm Harrah’s Special Events Center 2nd Floor #None
Bayesian models for Large-scale Hierarchical Classification Harrah’s Special Events Center 2nd Floor #None
Probabilistic Low-Rank Subspace Clustering Harrah’s Special Events Center 2nd Floor #None
Selecting Diverse Features via Spectral Regularization Harrah’s Special Events Center 2nd Floor #None
Monte Carlo Methods for Maximum Margin Supervised Topic Models Harrah’s Special Events Center 2nd Floor #None
Parametric Local Metric Learning for Nearest Neighbor Classification Harrah’s Special Events Center 2nd Floor #None
Collaborative Gaussian Processes for Preference Learning Harrah’s Special Events Center 2nd Floor #None
Nonparametric Reduced Rank Regression Harrah’s Special Events Center 2nd Floor #None
Natural Images, Gaussian Mixtures and Dead Leaves Harrah’s Special Events Center 2nd Floor #None
Dual-Space Analysis of the Sparse Linear Model Harrah’s Special Events Center 2nd Floor #None
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning Harrah’s Special Events Center 2nd Floor #None
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs Harrah’s Special Events Center 2nd Floor #None
Bayesian nonparametric models for bipartite graphs Harrah’s Special Events Center 2nd Floor #None
Recovery of Sparse Probability Measures via Convex Programming Harrah’s Special Events Center 2nd Floor #None
Identification of Recurrent Patterns in the Activation of Brain Networks Harrah’s Special Events Center 2nd Floor #None
Factoring nonnegative matrices with linear programs Harrah’s Special Events Center 2nd Floor #None
Pointwise Tracking the Optimal Regression Function Harrah’s Special Events Center 2nd Floor #None
Coupling Nonparametric Mixtures via Latent Dirichlet Processes Harrah’s Special Events Center 2nd Floor #None
Reducing statistical time-series problems to binary classification Harrah’s Special Events Center 2nd Floor #None
Nonparanormal Belief Propagation (NPBP) Harrah’s Special Events Center 2nd Floor #None
Gradient-based kernel method for feature extraction and variable selection Harrah’s Special Events Center 2nd Floor #None
Delay Compensation with Dynamical Synapses Harrah’s Special Events Center 2nd Floor #None
Learning from the Wisdom of Crowds by Minimax Entropy Harrah’s Special Events Center 2nd Floor #None
Learning optimal spike-based representations Harrah’s Special Events Center 2nd Floor #None
Collaborative Ranking With 17 Parameters Harrah’s Special Events Center 2nd Floor #None
Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making Harrah’s Special Events Center 2nd Floor #None
Multiple Operator-valued Kernel Learning Harrah’s Special Events Center 2nd Floor #None
Newton-Like Methods for Sparse Inverse Covariance Estimation Harrah’s Special Events Center 2nd Floor #None
Learning Manifolds with K-Means and K-Flats Harrah’s Special Events Center 2nd Floor #None
Iterative ranking from pair-wise comparisons Harrah’s Special Events Center 2nd Floor #None
Non-linear Metric Learning Harrah’s Special Events Center 2nd Floor #None
Query Complexity of Derivative-Free Optimization Harrah’s Special Events Center 2nd Floor #None
Compressive neural representation of sparse, high-dimensional probabilities Harrah’s Special Events Center 2nd Floor #None
CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem Harrah’s Special Events Center 2nd Floor #None
Bayesian n-Choose-k Models for Classification and Ranking Harrah’s Special Events Center 2nd Floor #None
Topic-Partitioned Multinetwork Embeddings Harrah’s Special Events Center 2nd Floor #None
Learning Label Trees for Probabilistic Modelling of Implicit Feedback Harrah’s Special Events Center 2nd Floor #None
Learning with Recursive Perceptual Representations Harrah’s Special Events Center 2nd Floor #None
Link Prediction in Graphs with Autoregressive Features Harrah’s Special Events Center 2nd Floor #None
Gradient Weights help Nonparametric Regressors Harrah’s Special Events Center 2nd Floor #None
Bayesian Nonparametric Modeling of Suicide Attempts Harrah’s Special Events Center 2nd Floor #None
Cost-Sensitive Exploration in Bayesian Reinforcement Learning Harrah’s Special Events Center 2nd Floor #None
Imitation Learning by Coaching Harrah’s Special Events Center 2nd Floor #None
Entropy Estimations Using Correlated Symmetric Stable Random Projections Harrah’s Special Events Center 2nd Floor #None
Deep Learning of invariant features via tracked video sequences Harrah’s Special Events Center 2nd Floor #None
Trajectory-Based Short-Sighted Probabilistic Planning Harrah’s Special Events Center 2nd Floor #None