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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning concept graphs from text with stick-breaking priors
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning Convolutional Feature Hierarchies for Visual Recognition
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Active Learning Applied to Patient-Adaptive Heartbeat Classification
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Evaluating neuronal codes for inference using Fisher information
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A rational decision making framework for inhibitory control
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning to localise sounds with spiking neural networks
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Probabilistic Inference and Differential Privacy
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Online Learning: Random Averages, Combinatorial Parameters, and Learnability
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Relaxed Clipping: A Global Training Method for Robust Regression and Classification
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Near-Optimal Bayesian Active Learning with Noisy Observations
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Exact learning curves for Gaussian process regression on large random graphs
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Fast global convergence rates of gradient methods for high-dimensional statistical recovery
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
An analysis on negative curvature induced by singularity in multi-layer neural-network learning
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A Bayesian Framework for Figure-Ground Interpretation
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Inference and communication in the game of Password
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Evaluation of Rarity of Fingerprints in Forensics
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Joint Cascade Optimization Using A Product Of Boosted Classifiers
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Improving Human Judgments by Decontaminating Sequential Dependencies
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Pose-Sensitive Embedding by Nonlinear NCA Regression
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Multi-View Active Learning in the Non-Realizable Case
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Structured sparsity-inducing norms through submodular functions
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A biologically plausible network for the computation of orientation dominance
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Movement extraction by detecting dynamics switches and repetitions
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Sodium entry efficiency during action potentials: A novel single-parameter family of Hodgkin-Huxley models
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Global seismic monitoring as probabilistic inference
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Approximate Inference by Compilation to Arithmetic Circuits
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Causal discovery in multiple models from different experiments
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Avoiding False Positive in Multi-Instance Learning
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Static Analysis of Binary Executables Using Structural SVMs
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Semi-Supervised Learning with Adversarially Missing Label Information
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Practical Large-Scale Optimization for Max-norm Regularization
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Optimal learning rates for Kernel Conjugate Gradient regression
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Discriminative Clustering by Regularized Information Maximization
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Inductive Regularized Learning of Kernel Functions
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Lifted Inference Seen from the Other Side : The Tractable Features
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Factorized Latent Spaces with Structured Sparsity
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning invariant features using the Transformed Indian Buffet Process
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Efficient Minimization of Decomposable Submodular Functions
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Worst-case bounds on the quality of max-product fixed-points
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Joint Analysis of Time-Evolving Binary Matrices and Associated Documents
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
MAP estimation in Binary MRFs via Bipartite Multi-cuts
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Decomposing Isotonic Regression for Efficiently Solving Large Problems
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Over-complete representations on recurrent neural networks can support persistent percepts
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Transduction with Matrix Completion: Three Birds with One Stone
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Large-Scale Matrix Factorization with Missing Data under Additional Constraints
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Extended Bayesian Information Criteria for Gaussian Graphical Models
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Permutation Complexity Bound on Out-Sample Error
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