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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
Multiresolution Gaussian Processes Harrah’s Special Events Center 2nd Floor
Cocktail Party Processing via Structured Prediction Harrah’s Special Events Center 2nd Floor
Robustness and risk-sensitivity in Markov decision processes Harrah’s Special Events Center 2nd Floor
Learning Image Descriptors with the Boosting-Trick Harrah’s Special Events Center 2nd Floor
Selective Labeling via Error Bound Minimization Harrah’s Special Events Center 2nd Floor
Image Denoising and Inpainting with Deep Neural Networks Harrah’s Special Events Center 2nd Floor
Learning to Discover Social Circles in Ego Networks Harrah’s Special Events Center 2nd Floor
Multi-Stage Multi-Task Feature Learning Harrah’s Special Events Center 2nd Floor
Recursive Deep Learning on 3D Point Clouds Harrah’s Special Events Center 2nd Floor
Bayesian Warped Gaussian Processes Harrah’s Special Events Center 2nd Floor
A quasi-Newton proximal splitting method Harrah’s Special Events Center 2nd Floor
Searching for objects driven by context Harrah’s Special Events Center 2nd Floor
Accuracy at the Top Harrah’s Special Events Center 2nd Floor
Inverse Reinforcement Learning through Structured Classification Harrah’s Special Events Center 2nd Floor
Hamming Distance Metric Learning Harrah’s Special Events Center 2nd Floor
GenDeR: A Generic Diversified Ranking Algorithm Harrah’s Special Events Center 2nd Floor
On Multilabel Classification and Ranking with Partial Feedback Harrah’s Special Events Center 2nd Floor
Value Pursuit Iteration Harrah’s Special Events Center 2nd Floor
Shifting Weights: Adapting Object Detectors from Image to Video Harrah’s Special Events Center 2nd Floor
Sparse Prediction with the $k$-Support Norm Harrah’s Special Events Center 2nd Floor
Bayesian models for Large-scale Hierarchical Classification Harrah’s Special Events Center 2nd Floor
Probabilistic Low-Rank Subspace Clustering Harrah’s Special Events Center 2nd Floor
Selecting Diverse Features via Spectral Regularization Harrah’s Special Events Center 2nd Floor
Monte Carlo Methods for Maximum Margin Supervised Topic Models Harrah’s Special Events Center 2nd Floor
Collaborative Gaussian Processes for Preference Learning Harrah’s Special Events Center 2nd Floor
Nonparametric Reduced Rank Regression Harrah’s Special Events Center 2nd Floor
Natural Images, Gaussian Mixtures and Dead Leaves Harrah’s Special Events Center 2nd Floor
Dual-Space Analysis of the Sparse Linear Model Harrah’s Special Events Center 2nd Floor
Bayesian nonparametric models for bipartite graphs Harrah’s Special Events Center 2nd Floor
Recovery of Sparse Probability Measures via Convex Programming Harrah’s Special Events Center 2nd Floor
Factoring nonnegative matrices with linear programs Harrah’s Special Events Center 2nd Floor
Pointwise Tracking the Optimal Regression Function Harrah’s Special Events Center 2nd Floor
Coupling Nonparametric Mixtures via Latent Dirichlet Processes Harrah’s Special Events Center 2nd Floor
Reducing statistical time-series problems to binary classification Harrah’s Special Events Center 2nd Floor
Nonparanormal Belief Propagation (NPBP) Harrah’s Special Events Center 2nd Floor
Delay Compensation with Dynamical Synapses Harrah’s Special Events Center 2nd Floor
Learning from the Wisdom of Crowds by Minimax Entropy Harrah’s Special Events Center 2nd Floor
Learning optimal spike-based representations Harrah’s Special Events Center 2nd Floor
Collaborative Ranking With 17 Parameters Harrah’s Special Events Center 2nd Floor
Multiple Operator-valued Kernel Learning Harrah’s Special Events Center 2nd Floor
Newton-Like Methods for Sparse Inverse Covariance Estimation Harrah’s Special Events Center 2nd Floor
Learning Manifolds with K-Means and K-Flats Harrah’s Special Events Center 2nd Floor
Iterative ranking from pair-wise comparisons Harrah’s Special Events Center 2nd Floor
Non-linear Metric Learning Harrah’s Special Events Center 2nd Floor
Query Complexity of Derivative-Free Optimization Harrah’s Special Events Center 2nd Floor
Bayesian n-Choose-k Models for Classification and Ranking Harrah’s Special Events Center 2nd Floor
Topic-Partitioned Multinetwork Embeddings Harrah’s Special Events Center 2nd Floor
Learning with Recursive Perceptual Representations Harrah’s Special Events Center 2nd Floor
Link Prediction in Graphs with Autoregressive Features Harrah’s Special Events Center 2nd Floor
Gradient Weights help Nonparametric Regressors Harrah’s Special Events Center 2nd Floor
Bayesian Nonparametric Modeling of Suicide Attempts Harrah’s Special Events Center 2nd Floor
Cost-Sensitive Exploration in Bayesian Reinforcement Learning Harrah’s Special Events Center 2nd Floor
Imitation Learning by Coaching Harrah’s Special Events Center 2nd Floor
Deep Learning of invariant features via tracked video sequences Harrah’s Special Events Center 2nd Floor
Trajectory-Based Short-Sighted Probabilistic Planning Harrah’s Special Events Center 2nd Floor