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Indicates the beginning of a session

 Sun Dec 02, 2012

Time Harveys Convention Center Floor, CC
04:00 PM (Placeholders)
Registration Desk

 Mon Dec 03, 2012

Time Harveys Convention Center Floor, CC Harrah’s Special Events Center 2nd Floor Emerald Bay A, Harveys Convention Center Floor (CC) Emerald Bay B, Harveys Convention Center Floor (CC) Top of the Wheel (12th Floor Harveys) and Harveys Convention Center Floor Garden Room
08:00 AM (Breaks, Placeholders)
Registration Desk
Breakfast
09:30 AM (Tutorials)
Exact Approximate Learning
Representation, Inference and Learning in Structured Statistical Models
01:00 PM (Tutorials)
User-Friendly Tools for Studying Random Matrices
Machine Learning for Student Learning
03:30 PM (Tutorials)
Stochastic Search and Optimization
Consciousness and Information Theory
06:30 PM (Talks)
Opening Remarks and Awards
07:00 PM (Posters)
Poster Session and Reception

 Tue Dec 04, 2012

Time Harrah's Special Events Center, 2nd Floor -Tahoe A & B Harrah's Special Events Center, 2nd Floor -Tahoe C Harveys Convention Center Floor, CC Harrah’s Special Events Center 2nd Floor Top of the Wheel (12th Floor Harveys) and Harveys Convention Center Floor Garden Room
07:30 AM (Breaks)
Breakfast Sponsored By Winton Capital
08:00 AM (Placeholders)
Registration Desk
09:00 AM (Invited Talks)
Oral Session 1
Quantum information and the Brain
09:50 AM (Orals)
TCA: High Dimensional Principal Component Analysis for non-Gaussian Data
10:10 AM (Spotlights)
Spotlight Session 1
Putting Bayes to sleep
10:14 AM (Spotlights)
Confusion-Based Online Learning and a Passive-Aggressive Scheme
10:18 AM (Spotlights)
Volume Regularization for Binary Classification
10:22 AM (Spotlights)
Fast Resampling Weighted v-Statistics
10:26 AM (Spotlights)
Pointwise Tracking the Optimal Regression Function
11:00 AM (Orals)
Oral Session 2
Spectral Learning of General Weighted Automata via Constrained Matrix Completion
11:20 AM (Orals)
Relax and Randomize : From Value to Algorithms
11:40 AM (Spotlights)
Spotlight Session 2
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
11:44 AM (Spotlights)
Active Comparison of Prediction Models
11:48 AM (Spotlights)
Entangled Monte Carlo
11:52 AM (Spotlights)
Modelling Reciprocating Relationships with Hawkes processes
11:56 AM (Spotlights)
Continuous Relaxations for Discrete Hamiltonian Monte Carlo
12:00 PM (Spotlights)
Efficient high dimensional maximum entropy modeling via symmetric partition functions
02:00 PM (Invited Talks)
Oral Session 3
Classification with Deep Invariant Scattering Networks
02:50 PM (Orals)
A Stochastic Gradient Method with an Exponential Convergence 
Rate for Finite Training Sets
03:10 PM (Orals)
Approximating Concavely Parameterized Optimization Problems
03:30 PM (Spotlights)
Spotlight Session 3
A quasi-Newton proximal splitting method
03:34 PM (Spotlights)
Factoring nonnegative matrices with linear programs
03:38 PM (Spotlights)
Scaled Gradients on Grassmann Manifolds for Matrix Completion
03:42 PM (Spotlights)
Multi-criteria Anomaly Detection using Pareto Depth Analysis
03:46 PM (Spotlights)
Semi-Supervised Domain Adaptation with Non-Parametric Copulas
04:20 PM (Orals)
Oral Session 4
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data
04:40 PM (Orals)
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer Disease Progression Prediction
05:00 PM (Orals)
Multimodal Learning with Deep Boltzmann Machines
05:20 PM (Orals)
Discriminative Learning of Sum-Product Networks
05:40 PM (Spotlights)
Spotlight Session 4
ImageNet Classification with Deep Convolutional Neural Networks
05:44 PM (Spotlights)
Searching for objects driven by context
05:48 PM (Spotlights)
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model
05:52 PM (Spotlights)
Analyzing 3D Objects in Cluttered Images
05:56 PM (Spotlights)
Discriminatively Trained Sparse Code Gradients for Contour Detection
07:00 PM (Demonstrations, Posters)
Demonstrations
Gait analysis using the Kinect sensor
Poster Session and Reception
Poster Session

 Wed Dec 05, 2012

Time Harrah's Special Events Center, 2nd Floor -Tahoe A & B Harrah's Special Events Center, 2nd Floor -Tahoe C Harveys Convention Center Floor, CC Harrah’s Special Events Center 2nd Floor Top of the Wheel (12th Floor Harveys) and Harveys Convention Center Floor Garden Room
07:30 AM (Breaks)
Breakfast
08:00 AM (Placeholders)
Registration Desk
09:00 AM (Invited Talks)
Oral Session 5
Challenges for Machine Learning in Computational Sustainability
09:50 AM (Orals)
Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics
10:10 AM (Spotlights)
Spotlight Session 5
Majorization for CRFs and Latent Likelihoods
10:14 AM (Spotlights)
Kernel Hyperalignment
10:18 AM (Spotlights)
Learning Networks of Heterogeneous Influence
10:22 AM (Spotlights)
Learning from Distributions via Support Measure Machines
10:26 AM (Spotlights)
Multiclass Learning Approaches: A Theoretical Comparison with Implications
11:00 AM (Orals)
Oral Session 6
On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes
11:20 AM (Orals)
A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes
11:40 AM (Spotlights)
Spotlight Session 6
Near Optimal Chernoff Bounds for Markov Decision Processes
11:44 AM (Spotlights)
Regularized Off-Policy TD-Learning
11:48 AM (Spotlights)
Human memory search as a random walk in a semantic network
11:52 AM (Spotlights)
Locating Changes in Highly Dependent Data with Unknown Number of Change Points
11:56 AM (Spotlights)
Classification Calibration Dimension for General Multiclass Losses
12:00 PM (Spotlights)
Multi-Stage Multi-Task Feature Learning
02:00 PM (Invited Talks)
Oral Session 7
Signatures of Conscious Processing in the Human Brain
02:50 PM (Orals)
Privacy Aware Learning
03:10 PM (Orals)
On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking
03:30 PM (Spotlights)
Spotlight Session 7
Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space
03:34 PM (Spotlights)
Iterative ranking from pair-wise comparisons
03:38 PM (Spotlights)
Hierarchical spike coding of sound
03:42 PM (Spotlights)
Patient Risk Stratification for Hospital-Associated C. Diff as a Time-Series Classification Task
03:46 PM (Spotlights)
On Multilabel Classification and Ranking with Partial Feedback
04:20 PM (Orals)
Oral Session 8
Graphical Models via Generalized Linear Models
04:40 PM (Orals)
No voodoo here! Learning discrete graphical models via inverse covariance estimation
05:00 PM (Orals)
Near-Optimal MAP Inference for Determinantal Point Processes
05:20 PM (Orals)
Bayesian nonparametric models for bipartite graphs
05:40 PM (Spotlights)
Spotlight Session 8
Scalable Inference of Overlapping Communities
05:44 PM (Spotlights)
Bayesian Nonparametric Modeling of Suicide Attempts
05:48 PM (Spotlights)
Augment-and-Conquer Negative Binomial Processes
05:52 PM (Spotlights)
Symmetric Correspondence Topic Models for Multilingual Text Analysis
05:56 PM (Spotlights)
A Spectral Algorithm for Latent Dirichlet Allocation
07:00 PM (Demonstrations, Posters)
Demonstrations
The BUDS POMDP Spoken Dialogue System
Poster Session

 Thu Dec 06, 2012

Time Harveys Convention Center Floor, CC Harvey's Harrah’s Special Events Center 2nd Floor Top of the Wheel (12th Floor Harveys) and Harveys Convention Center Floor Garden Room
07:30 AM (Breaks)
Breakfast
08:00 AM (Placeholders)
Registration Desk
09:00 AM (Invited Talks)
Oral Session 9
Suspicious Coincidences in the Brain
09:50 AM (Orals)
Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making
10:10 AM (Spotlights)
Spotlight Session 9
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models
10:14 AM (Spotlights)
Identification of Recurrent Patterns in the Activation of Brain Networks
10:18 AM (Spotlights)
Delay Compensation with Dynamical Synapses
10:22 AM (Spotlights)
Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model
10:26 AM (Spotlights)
Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction
10:50 AM (Invited Talks)
Oral Session 10
Dropout: A simple and effective way to improve neural networks
11:40 AM (Orals)
Gradient Weights help Nonparametric Regressors
12:00 PM (Spotlights)
Spotlight Session 10
Sparse Prediction with the $k$-Support Norm
12:04 PM (Spotlights)
Compressive neural representation of sparse, high-dimensional probabilities
12:08 PM (Spotlights)
Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential ℓ1-Minimization
12:16 PM (Spotlights)
Selecting Diverse Features via Spectral Regularization
12:20 PM (Talks)
Closing Remarks
02:00 PM (Posters)
Poster Session

 Fri Dec 07, 2012

Time Harveys Convention Center Floor, CC Emerald Bay A, Harveys Convention Center Floor (CC) Emerald Bay B, Harveys Convention Center Floor (CC) Sand Harbor 1, Harrah’s Special Events Center 2nd Floor Tahoe B, Harrah’s Special Events Center 2nd Floor Emerald Bay 4, Harveys Convention Center Floor (CC) Sand Harbor 2, Harrah’s Special Events Center 2nd Floor Emerald Bay 5, Harveys Convention Center Floor (CC) Sand Harbor 3, Harrah’s Special Events Center 2nd Floor Tahoe A, Harrah’s Special Events Center 2nd Floor Emerald Bay 6, Harveys Convention Center Floor (CC) Tahoe D, Harrah’s Special Events Center 2nd Floor Emerald Bay 1 +2, Harveys Convention Center Floor (CC) Emerald Bay 3, Harveys Convention Center Floor (CC) Tahoe C, Harrah’s Special Events Center 2nd Floor Fallen Leaf + Marla Bay, Harrah’s Special Events Center 2nd Floor Top of the Wheel (12th Floor Harveys) and Harveys Convention Center Floor Garden Room Glenbrook + Emerald Bay, Harrah’s Special Events Center 2nd Floor
06:30 AM (Breaks)
Breakfast
07:00 AM (Placeholders)
Registration Desk
07:30 AM (Workshops)
Analysis Operator Learning vs. Dictionary Learning: Fraternal Twins in Sparse Modeling
Discrete Optimization in Machine Learning (DISCML): Structure and Scalability
Big Data Meets Computer Vision: First International Workshop on Large Scale Visual Recognition and Retrieval
Spectral Algorithms for Latent Variable Models
Human Computation for Science and Computational Sustainability
Machine Learning in Computational Biology
MLINI - 2nd NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (2 day)
Modern Nonparametric Methods in Machine Learning
Probabilistic Programming: Foundations and Applications (2 day)
Connectomics: Opportunities and Challenges for Machine Learning
xLiTe: Cross-Lingual Technologies
Bayesian Optimization and Decision Making
Information in Perception and Action
Multi-Trade-offs in Machine Learning
Algorithmic and Statistical Approaches for Large Social Network Data Sets
Social network and social media analysis: Methods, models and applications
03:30 PM (Placeholders)
Registration Desk

 Sat Dec 08, 2012

Time Harveys Convention Center Floor, CC Emerald Bay A, Harveys Convention Center Floor (CC) Emerald Bay B, Harveys Convention Center Floor (CC) Sand Harbor, Harrah’s Special Events Center 2nd Floor Tahoe B, Harrah’s Special Events Center 2nd Floor Emerald Bay 4, Harveys Convention Center Floor (CC) Emerald Bay 5, Harveys Convention Center Floor (CC) Tahoe A, Harrah’s Special Events Center 2nd Floor Emerald Bay 6, Harveys Convention Center Floor (CC) Tahoe D, Harrah’s Special Events Center 2nd Floor Emerald Bay 3, Harveys Convention Center Floor (CC) Tahoe C, Harrah’s Special Events Center 2nd Floor Emerald Bay 1, Harveys Convention Center Floor (CC) Emerald Bay 2, Harveys Convention Center Floor (CC) Fallen Leaf + Marla Bay, Harrah’s Special Events Center 2nd Floor Top of the Wheel (12th Floor Harveys) and Harveys Convention Center Floor Garden Room Glenbrook + Emerald Bay, Harrah’s Special Events Center 2nd Floor
06:30 AM (Breaks)
Breakfast
07:00 AM (Placeholders)
Registration Desk
07:30 AM (Workshops)
Big Learning : Algorithms, Systems, and Tools
Deep Learning and Unsupervised Feature Learning
Bayesian Nonparametric Models For Reliable Planning And Decision-Making Under Uncertainty
Social Choice: Theory and Practice
MLINI - 2nd NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (2 day)
Probabilistic Programming: Foundations and Applications (2 day)
Algebraic Topology and Machine Learning
Probabilistic Numerics
Machine Learning Approaches to Mobile Context Awareness
Log-Linear Models
Personalizing education with machine learning
Confluence between Kernel Methods and Graphical Models
Optimization for Machine Learning
Perturbations, Optimization, and Statistics
07:00 PM (Placeholders)
Reception