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Placeholder
Sun Dec 11 07:00 AM -- 11:00 AM (PST) @ Palacio de Exposiciones y Congresos de Granada
Registration at Congress Center
Placeholder
Sun Dec 11 10:30 PM -- 09:30 AM (PST) @ Congress Center, Floor Zero (Ground Floor)
Registration Desk at Congress Center
Tutorial
Mon Dec 12 12:30 AM -- 02:30 AM (PST) @ Andulucia II & III
Flexible, Multivariate Point Process Models for Unlocking the Neural Code
Tutorial
Mon Dec 12 12:30 AM -- 02:30 AM (PST) @ Manuel de Falla
Linear Programming Relaxations for Graphical Models
Tutorial
Mon Dec 12 03:00 AM -- 05:00 AM (PST) @ Manuel de Falla
Modern Bayesian Nonparametrics
Tutorial
Mon Dec 12 03:00 AM -- 05:00 AM (PST) @ Andulucia II & III
Lagrangian Relaxation Algorithms for Inference in Natural Language Processing
Tutorial
Mon Dec 12 07:00 AM -- 09:00 AM (PST) @ Manuel de Falla
Information Theory in Learning and Control
Tutorial
Mon Dec 12 07:00 AM -- 09:00 AM (PST) @ Andulucia II & III
Graphical Models for the Internet
Session
Mon Dec 12 09:30 AM -- 09:40 AM (PST)
Opening Remarks and Awards
Session
Mon Dec 12 09:40 AM -- 10:00 AM (PST)
Spotlight Session 1
Spotlight
Mon Dec 12 09:40 AM -- 09:44 AM (PST)
Structural equations and divisive normalization for energy-dependent component analysis
Spotlight
Mon Dec 12 09:44 AM -- 09:48 AM (PST)
Uniqueness of Belief Propagation on Signed Graphs
Spotlight
Mon Dec 12 09:48 AM -- 09:52 AM (PST)
Probabilistic amplitude and frequency demodulation
Spotlight
Mon Dec 12 09:52 AM -- 09:56 AM (PST)
On the accuracy of l1-filtering of signals with block-sparse structure
Spotlight
Mon Dec 12 09:56 AM -- 10:00 AM (PST)
Active dendrites: adaptation to spike-based communication
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Active dendrites: adaptation to spike-based communication
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
An Application of Tree-Structured Expectation Propagation for Channel Decoding
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Regularized Laplacian Estimation and Fast Eigenvector Approximation
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Quasi-Newton Methods for Markov Chain Monte Carlo
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Ranking annotators for crowdsourced labeling tasks
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Reinforcement Learning using Kernel-Based Stochastic Factorization
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Bayesian Partitioning of Large-Scale Distance Data
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Probabilistic amplitude and frequency demodulation
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
SpaRCS: Recovering low-rank and sparse matrices from compressive measurements
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Similarity-based Learning via Data Driven Embeddings
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Optimistic Optimization of Deterministic Functions
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Inferring spike-timing-dependent plasticity from spike train data
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Spatial distance dependent Chinese Restaurant Process for image segmentation
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
A Model for Temporal Dependencies in Event Streams
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
A Maximum Margin Multi-Instance Learning Framework for Image Categorization
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
A Global Structural EM Algorithm for a Model of Cancer Progression
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Optimal Reinforcement Learning for Gaussian Systems
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Structural equations and divisive normalization for energy-dependent component analysis
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
PiCoDes: Learning a Compact Code for Novel-Category Recognition
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Higher-Order Correlation Clustering for Image Segmentation
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Infinite Latent SVM for Classification and Multi-task Learning
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Group Anomaly Detection using Flexible Genre Models
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Kernel Embeddings of Latent Tree Graphical Models
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Learning Auto-regressive Models from Sequence and Non-sequence Data
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Large-Scale Category Structure Aware Image Categorization
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Learning with the weighted trace-norm under arbitrary sampling distributions
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Nonlinear Inverse Reinforcement Learning with Gaussian Processes
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
MAP Inference for Bayesian Inverse Reinforcement Learning
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Portmanteau Vocabularies for Multi-Cue Image Representation
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Why The Brain Separates Face Recognition From Object Recognition
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Thinning Measurement Models and Questionnaire Design
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Online Learning: Stochastic, Constrained, and Smoothed Adversaries
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Uniqueness of Belief Propagation on Signed Graphs
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
A reinterpretation of the policy oscillation phenomenon in approximate policy iteration
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Nearest Neighbor based Greedy Coordinate Descent
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Non-conjugate Variational Message Passing for Multinomial and Binary Regression
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Statistical Performance of Convex Tensor Decomposition
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Robust Multi-Class Gaussian Process Classification
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Hierarchical Matching Pursuit for Recognition: Architecture and Fast Algorithms
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Unsupervised learning models of primary cortical receptive fields and receptive field plasticity
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
On the accuracy of l1-filtering of signals with block-sparse structure
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Analysis and Improvement of Policy Gradient Estimation
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Analytical Results for the Error in Filtering of Gaussian Processes
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Causal Discovery with Cyclic Additive Noise Models
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Dynamical segmentation of single trials from population neural data
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Efficient Offline Communication Policies for Factored Multiagent POMDPs
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Efficient anomaly detection using bipartite k-NN graphs
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Emergence of Multiplication in a Biophysical Model of a Wide-Field Visual Neuron for Computing Object Approaches: Dynamics, Peaks, & Fits
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models
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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent
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Session
Mon Dec 12 10:00 AM -- 02:59 PM (PST) @ Floor +1, Palacio de Congresos, Granada, Spain
Poster Session and Reception
Break
Mon Dec 12 11:30 AM -- 12:00 PM (PST)
Coffee Break
Break
Mon Dec 12 11:30 AM -- 12:00 PM (PST)
Coffee Break
Break
Mon Dec 12 02:00 PM -- 04:00 PM (PST)
Break
Break
Mon Dec 12 06:00 PM -- 06:30 PM (PST)
Break
Placeholder
Mon Dec 12 11:00 PM -- 08:30 AM (PST) @ Floor Zero
Registration Desk
Invited Talk (Posner Lecture)
Tue Dec 13 12:30 AM -- 01:20 AM (PST)
Learning About Sensorimotor Data
Session
Tue Dec 13 12:30 AM -- 01:40 AM (PST)
Oral Session 1
Oral
Tue Dec 13 01:20 AM -- 01:40 AM (PST)
A Non-Parametric Approach to Dynamic Programming
Session
Tue Dec 13 01:40 AM -- 02:10 AM (PST)
Spotlight Session 2
Spotlight
Tue Dec 13 01:40 AM -- 01:44 AM (PST)
Action-Gap Phenomenon in Reinforcement Learning
Spotlight
Tue Dec 13 01:44 AM -- 01:48 AM (PST)
The Fixed Points of Off-Policy TD
Spotlight
Tue Dec 13 01:48 AM -- 01:52 AM (PST)
Inductive reasoning about chimeric creatures
Spotlight
Tue Dec 13 01:52 AM -- 01:56 AM (PST)
Evaluating computational models of preference learning
Spotlight
Tue Dec 13 01:56 AM -- 02:00 AM (PST)
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis
Spotlight
Tue Dec 13 02:00 AM -- 02:04 AM (PST)
Decoding of Finger Flexion from Electrocorticographic Signals Using Switching Non-Parametric Dynamic Systems
Spotlight
Tue Dec 13 02:04 AM -- 02:08 AM (PST)
Active learning of neural response functions with Gaussian processes
Oral
Tue Dec 13 02:10 AM -- 02:30 AM (PST)
On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference
Session
Tue Dec 13 02:10 AM -- 02:30 AM (PST)
Oral Session 2
Oral
Tue Dec 13 03:00 AM -- 03:20 AM (PST)
Modelling Genetic Variations using Fragmentation-Coagulation Processes
Session
Tue Dec 13 03:00 AM -- 03:40 AM (PST)
Oral Session 3
Oral
Tue Dec 13 03:20 AM -- 03:40 AM (PST)
Priors over Recurrent Continuous Time Processes
Session
Tue Dec 13 03:40 AM -- 04:10 AM (PST)
Spotlight Session 3
Spotlight
Tue Dec 13 03:40 AM -- 03:44 AM (PST)
Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability
Spotlight
Tue Dec 13 03:44 AM -- 03:48 AM (PST)
Sequence learning with hidden units in spiking neural networks
Spotlight
Tue Dec 13 03:48 AM -- 03:52 AM (PST)
Information Rates and Optimal Decoding in Large Neural Populations
Spotlight
Tue Dec 13 03:52 AM -- 03:56 AM (PST)
A blind sparse deconvolution method for neural spike identification
Spotlight
Tue Dec 13 03:56 AM -- 04:00 AM (PST)
Accelerated Adaptive Markov Chain for Partition Function Computation
Spotlight
Tue Dec 13 04:04 AM -- 04:08 AM (PST)
Solving Decision Problems with Limited Information
Oral
Tue Dec 13 04:10 AM -- 04:30 AM (PST)
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
Session
Tue Dec 13 04:10 AM -- 04:30 AM (PST)
Oral Session 4
Session
Tue Dec 13 04:30 AM -- 05:00 AM (PST)
Spotlight Session 4
Spotlight
Tue Dec 13 04:30 AM -- 04:34 AM (PST)
Algorithms and hardness results for parallel large margin learning
Spotlight
Tue Dec 13 04:34 AM -- 04:38 AM (PST)
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
Spotlight
Tue Dec 13 04:38 AM -- 04:42 AM (PST)
Online Submodular Set Cover, Ranking, and Repeated Active Learning
Spotlight
Tue Dec 13 04:42 AM -- 04:46 AM (PST)
Sparse Estimation with Structured Dictionaries
Spotlight
Tue Dec 13 04:46 AM -- 04:50 AM (PST)
Universal low-rank matrix recovery from Pauli measurements
Spotlight
Tue Dec 13 04:50 AM -- 04:54 AM (PST)
See the Tree Through the Lines: The Shazoo Algorithm
Spotlight
Tue Dec 13 04:54 AM -- 04:58 AM (PST)
On U-processes and clustering performance
Invited Talk
Tue Dec 13 07:00 AM -- 07:50 AM (PST)
Sparsity: algorithms, approximations, and analysis
Session
Tue Dec 13 07:00 AM -- 08:30 AM (PST)
Oral Session 5
Oral
Tue Dec 13 07:50 AM -- 08:10 AM (PST)
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries
Oral
Tue Dec 13 08:10 AM -- 08:30 AM (PST)
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
Demonstration
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Reproducing biologically realistic firing patterns on a highly-accelerated neuromorphic hardware system
Demonstration
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
SENNA Natural Language Processing Demo
Demonstration
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
A smartphone 3D functional brain scanner
Demonstration
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Haptic Belt with Pedestrian Detection
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
A blind sparse deconvolution method for neural spike identification
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Information Rates and Optimal Decoding in Large Neural Populations
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Video Annotation and Tracking with Active Learning
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Universal low-rank matrix recovery from Pauli measurements
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
ShareBoost: Efficient multiclass learning with feature sharing
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Active learning of neural response functions with Gaussian processes
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Sequence learning with hidden units in spiking neural networks
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Solving Decision Problems with Limited Information
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Trace Lasso: a trace norm regularization for correlated designs
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Semi-supervised Regression via Parallel Field Regularization
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Robust Lasso with missing and grossly corrupted observations
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
See the Tree Through the Lines: The Shazoo Algorithm
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Relative Density-Ratio Estimation for Robust Distribution Comparison
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Selecting the State-Representation in Reinforcement Learning
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Semantic Labeling of 3D Point Clouds for Indoor Scenes
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Prismatic Algorithm for Discrete D.C. Programming Problem
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
On Strategy Stitching in Large Extensive Form Multiplayer Games
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Predicting response time and error rates in visual search
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Penalty Decomposition Methods for Rank Minimization
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Online Submodular Set Cover, Ranking, and Repeated Active Learning
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Message-Passing for Approximate MAP Inference with Latent Variables
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Linear Submodular Bandits and their Application to Diversified Retrieval
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Maximum Margin Multi-Label Structured Prediction
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Learning to Search Efficiently in High Dimensions
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Learning Higher-Order Graph Structure with Features by Structure Penalty
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
History distribution matching method for predicting effectiveness of HIV combination therapies
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Greedy Algorithms for Structurally Constrained High Dimensional Problems
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Inference in continuous time changepoint point models
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Generalized Lasso based Approximation of Sparse Coding for Visual Recognition
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Environmental statistics and the trade-off between model-based and TD learning in humans
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Finite Time Analysis of Stratified Sampling for Monte Carlo
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Evaluating computational models of preference learning
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Decoding of Finger Flexion from Electrocorticographic Signals Using Switching Non-Parametric Dynamic Systems
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Convergent Fitted Value Iteration with Linear Function Approximation
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Better Mini-Batch Algorithms via Accelerated Gradient Methods
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Blending Autonomous Exploration and Apprenticeship Learning
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Autonomous Learning of Action Models for Planning
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Algorithms and hardness results for parallel large margin learning
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
A Non-Parametric Approach to Dynamic Programming
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Accelerated Adaptive Markov Chain for Partition Function Computation
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
A More Powerful Two-Sample Test in High Dimensions using Random Projection
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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
A Reinforcement Learning Theory for Homeostatic Regulation
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PDF]
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation
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PDF]
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Spectral Methods for Learning Multivariate Latent Tree Structure
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PDF]
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Modelling Genetic Variations using Fragmentation-Coagulation Processes
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PDF]
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
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PDF]
Session
Tue Dec 13 08:45 AM -- 02:59 PM (PST) @ Andulucia II
Demonstrations
Session
Tue Dec 13 08:45 AM -- 02:59 PM (PST) @ Exhibition Hall
Poster Session
Break
Tue Dec 13 11:30 AM -- 12:00 PM (PST)
Coffee Break
Break
Tue Dec 13 02:00 PM -- 04:00 PM (PST)
Break
Break
Tue Dec 13 05:30 PM -- 05:45 PM (PST)
Coffee Break
Placeholder
Tue Dec 13 11:00 PM -- 08:30 AM (PST) @ Floor Zero
Registration Desk
Invited Talk (Posner Lecture)
Wed Dec 14 12:30 AM -- 01:20 AM (PST)
From kernels to causal inference
Session
Wed Dec 14 12:30 AM -- 01:40 AM (PST)
Oral Session 6
Oral
Wed Dec 14 01:20 AM -- 01:40 AM (PST)
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
Session
Wed Dec 14 01:40 AM -- 02:10 AM (PST)
Spotlight Session 5
Spotlight
Wed Dec 14 01:40 AM -- 01:44 AM (PST)
Minimax Localization of Structural Information in Large Noisy Matrices
Spotlight
Wed Dec 14 01:44 AM -- 01:48 AM (PST)
On Learning Discrete Graphical Models using Greedy Methods
Spotlight
Wed Dec 14 01:48 AM -- 01:52 AM (PST)
Learning to Learn with Compound HD Models
Spotlight
Wed Dec 14 01:52 AM -- 01:56 AM (PST)
Probabilistic Joint Image Segmentation and Labeling
Spotlight
Wed Dec 14 01:56 AM -- 02:00 AM (PST)
Object Detection with Grammar Models
Spotlight
Wed Dec 14 02:00 AM -- 02:04 AM (PST)
Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound
Spotlight
Wed Dec 14 02:04 AM -- 02:08 AM (PST)
Im2Text: Describing Images Using 1 Million Captioned Photographs
Oral
Wed Dec 14 02:10 AM -- 02:30 AM (PST)
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Session
Wed Dec 14 02:10 AM -- 02:30 AM (PST)
Oral Session 7
Oral
Wed Dec 14 03:00 AM -- 03:20 AM (PST)
Efficient Online Learning via Randomized Rounding
Session
Wed Dec 14 03:00 AM -- 03:40 AM (PST)
Oral Session 8
Oral
Wed Dec 14 03:20 AM -- 03:40 AM (PST)
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Session
Wed Dec 14 03:40 AM -- 04:10 AM (PST)
Spotlight Session 6
Spotlight
Wed Dec 14 03:40 AM -- 03:44 AM (PST)
Improved Algorithms for Linear Stochastic Bandits
Spotlight
Wed Dec 14 03:44 AM -- 03:48 AM (PST)
From Bandits to Experts: On the Value of Side-Observations
Spotlight
Wed Dec 14 03:48 AM -- 03:52 AM (PST)
Lower Bounds for Passive and Active Learning
Spotlight
Wed Dec 14 03:52 AM -- 03:56 AM (PST)
Active Classification based on Value of Classifier
Spotlight
Wed Dec 14 03:56 AM -- 04:00 AM (PST)
Budgeted Optimization with Concurrent Stochastic-Duration Experiments
Spotlight
Wed Dec 14 04:00 AM -- 04:04 AM (PST)
Projection onto A Nonnegative Max-Heap
Spotlight
Wed Dec 14 04:04 AM -- 04:08 AM (PST)
Phase transition in the family of p-resistances
Oral
Wed Dec 14 04:10 AM -- 04:30 AM (PST)
k-NN Regression Adapts to Local Intrinsic Dimension
Session
Wed Dec 14 04:10 AM -- 04:30 AM (PST)
Oral Session 9
Session
Wed Dec 14 04:30 AM -- 05:00 AM (PST)
Spotlight Session 7
Spotlight
Wed Dec 14 04:30 AM -- 04:34 AM (PST)
Complexity of Inference in Latent Dirichlet Allocation
Spotlight
Wed Dec 14 04:34 AM -- 04:38 AM (PST)
Practical Variational Inference for Neural Networks
Spotlight
Wed Dec 14 04:38 AM -- 04:42 AM (PST)
A Multilinear Subspace Regression Method Using Orthogonal Tensors Decompositions
Spotlight
Wed Dec 14 04:46 AM -- 04:50 AM (PST)
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators
Spotlight
Wed Dec 14 04:50 AM -- 04:54 AM (PST)
Noise Thresholds for Spectral Clustering
Session
Wed Dec 14 07:00 AM -- 08:30 AM (PST)
Oral Session 10
Oral
Wed Dec 14 07:50 AM -- 08:10 AM (PST)
Iterative Learning for Reliable Crowdsourcing Systems
Oral
Wed Dec 14 08:10 AM -- 08:30 AM (PST)
A Collaborative Mechanism for Crowdsourcing Prediction Problems
Demonstration
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
AISoy1, a Robot that Perceives, Feels and Makes Decisions
Demonstration
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Real-time social media analysis with TWIMPACT
Demonstration
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Detecting Quakes with Clouds and Phones: the Community Seismic Network
Demonstration
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Contour-Based Large Scale Image Retrieval Platform
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Exploiting spatial overlap to efficiently compute appearance distances between image windows
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Approximating Semidefinite Programs in Sublinear Time
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Reconstructing Patterns of Information Diffusion from Incomplete Observations
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Scalable Training of Mixture Models via Coresets
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Select and Sample: A Model of Efficient Neural Inference and Learning
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Randomized Algorithms for Comparison-based Search
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Optimal learning rates for least squares SVMs using Gaussian kernels
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Practical Variational Inference for Neural Networks
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Testing a Bayesian Measure of Representativeness Using a Large Image Database
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Stochastic convex optimization with bandit feedback
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Efficient coding with a population of Linear-Nonlinear neurons
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
RTRMC: A Riemannian trust-region method for low-rank matrix completion
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Improving Topic Coherence with Regularized Topic Models
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Selective Prediction of Financial Trends with Hidden Markov Models
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Sparse recovery by thresholded non-negative least squares
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
A concave regularization technique for sparse mixture models
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Understanding the Intrinsic Memorability of Images
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Learning a Tree of Metrics with Disjoint Visual Features
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Variational Learning for Recurrent Spiking Networks
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Neural Reconstruction with Approximate Message Passing (NeuRAMP)
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Hierarchically Supervised Latent Dirichlet Allocation
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
$\theta$-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
A Collaborative Mechanism for Crowdsourcing Prediction Problems
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
A rational model of causal inference with continuous causes
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
On the Analysis of Multi-Channel Neural Spike Data
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
On Learning Discrete Graphical Models using Greedy Methods
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Active Classification based on Value of Classifier
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Minimax Localization of Structural Information in Large Noisy Matrices
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
k-NN Regression Adapts to Local Intrinsic Dimension
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Probabilistic Joint Image Segmentation and Labeling
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
A Machine Learning Approach to Predict Chemical Reactions
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Learning person-object interactions for action recognition in still images
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
From Bandits to Experts: On the Value of Side-Observations
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Empirical models of spiking in neural populations
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Expressive Power and Approximation Errors of Restricted Boltzmann Machines
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Efficient Online Learning via Randomized Rounding
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
A Multilinear Subspace Regression Method Using Orthogonal Tensors Decompositions
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Learning large-margin halfspaces with more malicious noise
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Large-Scale Sparse Principal Component Analysis with Application to Text Data
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Continuous-Time Regression Models for Longitudinal Networks
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Dimensionality Reduction Using the Sparse Linear Model
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Learning sparse inverse covariance matrices in the presence of confounders
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Iterative Learning for Reliable Crowdsourcing Systems
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Improved Algorithms for Linear Stochastic Bandits
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Heavy-tailed Distances for Gradient Based Image Descriptors
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
How Do Humans Teach: On Curriculum Learning and Teaching Dimension
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Clustered Multi-Task Learning Via Alternating Structure Optimization
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Complexity of Inference in Latent Dirichlet Allocation
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Budgeted Optimization with Concurrent Stochastic-Duration Experiments
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Unfolding Recursive Autoencoders for Paraphrase Detection
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Im2Text: Describing Images Using 1 Million Captioned Photographs
[
PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
An ideal observer model for identifying the reference frame of objects
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PDF]
Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
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PDF]
Session
Wed Dec 14 08:45 AM -- 02:59 PM (PST) @ Andulucia II
Demonstrations
Session
Wed Dec 14 08:45 AM -- 02:59 PM (PST) @ Exhibition Hall
Poster Session
Break
Wed Dec 14 11:30 AM -- 12:00 PM (PST)
Coffee Break
Break
Wed Dec 14 02:00 PM -- 04:00 PM (PST)
Break
Break
Wed Dec 14 05:30 PM -- 05:45 PM (PST)
Coffee Break
Placeholder
Wed Dec 14 11:00 PM -- 03:00 AM (PST) @ Floor Zero
Registration Desk
Invited Talk
Thu Dec 15 12:30 AM -- 01:20 AM (PST)
The Neuronal Replicator Hypothesis: Novel Mechanisms for Information Transfer and Search in the Brain
Session
Thu Dec 15 12:30 AM -- 01:40 AM (PST)
Oral Session 11
Oral
Thu Dec 15 01:20 AM -- 01:40 AM (PST)
Continuous-Time Regression Models for Longitudinal Networks
Oral
Thu Dec 15 01:40 AM -- 02:00 AM (PST)
Scalable Training of Mixture Models via Coresets
Session
Thu Dec 15 01:40 AM -- 02:20 AM (PST)
Oral Session 12
Oral
Thu Dec 15 02:00 AM -- 02:20 AM (PST)
Fast and Accurate k-means For Large Datasets
Invited Talk
Thu Dec 15 03:00 AM -- 03:50 AM (PST)
Diversity in an Olfactory Network
Session
Thu Dec 15 03:00 AM -- 04:10 AM (PST)
Oral Session 13
Oral
Thu Dec 15 03:50 AM -- 04:10 AM (PST)
Empirical models of spiking in neural populations
Session
Thu Dec 15 04:10 AM -- 04:50 AM (PST)
Oral Session 14
Oral
Thu Dec 15 04:30 AM -- 04:50 AM (PST)
Reconstructing Patterns of Information Diffusion from Incomplete Observations
Placeholder
Thu Dec 15 06:00 AM -- 06:00 AM (PST) @ Congress Center
3:00 Bus to Sierra Nevada
Placeholder
Thu Dec 15 07:30 AM -- 12:30 PM (PST) @ Melia Sol y Nieve
Registration Desk
Placeholder
Thu Dec 15 08:00 AM -- 08:00 AM (PST)
5:00 Bus to the Alhambra
Placeholder
Thu Dec 15 08:30 AM -- 08:30 AM (PST) @ Congress Center
5:30 Bus to Alhambra
Placeholder
Thu Dec 15 11:15 AM -- 11:15 AM (PST) @ Congress Center
8:15 Bus to Sierra Nevada
Break
Thu Dec 15 11:20 AM -- 12:00 PM (PST)
Coffee Break
Placeholder
Thu Dec 15 10:00 PM -- 01:30 AM (PST) @ Melia Sol y Nieve
Registration Desk
Workshop
Thu Dec 15 10:30 PM -- 11:00 AM (PST) @ Melia Sol y Nieve: Slalom
From statistical genetics to predictive models in personalized medicine
Workshop
Thu Dec 15 10:30 PM -- 11:00 AM (PST) @ Melia Sol y Nieve: Ski
New Frontiers in Model Order Selection
Workshop
Thu Dec 15 10:30 PM -- 11:00 AM (PST) @ Melia Sierra Nevada: Hotel Bar
Bayesian optimization, experimental design and bandits: Theory and applications
Workshop
Thu Dec 15 10:30 PM -- 11:00 AM (PST) @ Melia Sierra Nevada: Monachil
Cosmology meets Machine Learning
Workshop
Thu Dec 15 10:30 PM -- 11:00 AM (PST) @ Melia Sierra Nevada: Genil
Copulas in Machine Learning
Workshop
Thu Dec 15 10:30 PM -- 11:00 AM (PST) @ Montebajo: Theater
Big Learning: Algorithms, Systems, and Tools for Learning at Scale
Workshop
Thu Dec 15 10:30 PM -- 11:00 AM (PST) @ Melia Sol y Nieve: Aqua
Machine Learning and Interpretation in Neuroimaging (MLINI-2011)
Workshop
Thu Dec 15 10:30 PM -- 11:00 AM (PST) @ Melia Sierra Nevada: Dauro
Optimization for Machine Learning
Workshop
Thu Dec 15 10:30 PM -- 11:00 AM (PST) @ Montebajo: Basketball Court
Computational Trade-offs in Statistical Learning
Workshop
Thu Dec 15 10:30 PM -- 11:00 AM (PST) @ Montebajo: Room 1
Sparse Representation and Low-rank Approximation
Workshop
Thu Dec 15 10:30 PM -- 11:00 AM (PST) @ Montebajo: Library
Integrating Language and Vision
Workshop
Thu Dec 15 10:30 PM -- 11:00 AM (PST) @ Melia Sierra Nevada: Guejar
Beyond Mahalanobis: Supervised Large-Scale Learning of Similarity
Workshop
Thu Dec 15 10:30 PM -- 11:00 AM (PST) @ Melia Sierra Nevada: Dilar
Relations between machine learning problems - an approach to unify the field
Workshop
Thu Dec 15 10:30 PM -- 11:00 AM (PST) @ Melia Sol y Nieve: Snow
Decision Making with Multiple Imperfect Decision Makers
Workshop
Thu Dec 15 10:30 PM -- 11:00 AM (PST) @ Telecabina: Movie Theater
Deep Learning and Unsupervised Feature Learning
Placeholder
Fri Dec 16 06:30 AM -- 11:00 AM (PST)
Registration Desk
Break
Fri Dec 16 08:45 AM -- 09:30 AM (PST) @ Melia Sol y Nieve: Foyer (Floor -1); Sierra Nevada: Main Hall (Floor 0); Telecabina: La Bodega Restaurant; Montebajo: The Cafeteria (Floor -2) and Room I (Floor -3)
Coffee Break
Break
Fri Dec 16 10:30 AM -- 04:00 PM (PST)
Ski or Siesta
Break
Fri Dec 16 05:45 PM -- 06:30 PM (PST) @ Melia Sol y Nieve: Foyer (Floor -1); Sierra Nevada: Main Hall (Floor 0); Telecabina: La Bodega Restaurant; Montebajo: The Cafeteria (Floor -2) and Room I (Floor -3)
Coffee Break
Placeholder
Fri Dec 16 10:00 PM -- 01:30 AM (PST) @ Melia Sol y Nieve
Registration Desk
Workshop
Fri Dec 16 10:30 PM -- 11:00 AM (PST) @ Melia Sierra Nevada: Monachil
Domain Adaptation Workshop: Theory and Application
Workshop
Fri Dec 16 10:30 PM -- 11:00 AM (PST) @ Telecabina: Movie Theater
2nd Workshop on Computational Social Science and the Wisdom of Crowds
Workshop
Fri Dec 16 10:30 PM -- 11:00 AM (PST) @ Melia Sol y Nieve: Slalom
Discrete Optimization in Machine Learning (DISCML): Uncertainty, Generalization and Feedback
Workshop
Fri Dec 16 10:30 PM -- 11:00 AM (PST) @ Melia Sierra Nevada: Genil
Machine Learning in Computational Biology
Workshop
Fri Dec 16 10:30 PM -- 11:00 AM (PST) @ Melia Sol y Nieve: Ski
Learning Semantics
Workshop
Fri Dec 16 10:30 PM -- 11:00 AM (PST) @ Montebajo: Room 1
Choice Models and Preference Learning
Workshop
Fri Dec 16 10:30 PM -- 11:00 AM (PST) @ Melia Sierra Nevada: Hotel Bar
Philosophy and Machine Learning
Workshop
Fri Dec 16 10:30 PM -- 11:00 AM (PST) @ Melia Sierra Nevada: Dilar
The 4th International Workshop on Music and Machine Learning: Learning from Musical Structure
Workshop
Fri Dec 16 10:30 PM -- 11:00 AM (PST) @ Melia Sierra Nevada: Guejar
Machine Learning for Sustainability
Workshop
Fri Dec 16 10:30 PM -- 11:00 AM (PST) @ Montebajo: Library
Challenges in Learning Hierarchical Models: Transfer Learning and Optimization
Workshop
Fri Dec 16 10:30 PM -- 11:00 AM (PST) @ Melia Sierra Nevada:Dauro
Bayesian Nonparametric Methods: Hope or Hype?
Workshop
Fri Dec 16 10:30 PM -- 11:00 AM (PST) @ Melia Sol y Nieve: Snow
Machine Learning meets Computational Photography
Placeholder
Sat Dec 17 06:30 AM -- 11:00 AM (PST)
Registration Desk
Break
Sat Dec 17 08:45 AM -- 09:30 AM (PST) @ Melia Sol y Nieve: Foyer (Floor -1); Sierra Nevada: Main Hall (Floor 0); Telecabina: La Bodega Restaurant; Montebajo: The Cafeteria (Floor -2) and Room I (Floor -3)
Coffee Break
Break
Sat Dec 17 10:30 AM -- 04:00 PM (PST)
Ski or Siesta
Placeholder
Sat Dec 17 12:00 PM -- 02:00 PM (PST) @ Sol y Nieve: Bar
Tapas Reception
Break
Sat Dec 17 05:45 PM -- 06:30 PM (PST) @ Melia Sol y Nieve: Foyer (Floor -1); Sierra Nevada: Main Hall (Floor 0); Telecabina: La Bodega Restaurant; Montebajo: The Cafeteria (Floor -2) and Room I (Floor -3)
Coffee Break