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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)
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)
Nearest Neighbor based Greedy Coordinate Descent
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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)
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)
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)
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)
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)
Statistical Performance of Convex Tensor Decomposition
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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)
Robust Multi-Class Gaussian Process Classification
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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)
Spatial distance dependent Chinese Restaurant Process for image segmentation
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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)
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)
Regularized Laplacian Estimation and Fast Eigenvector Approximation
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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)
Ranking annotators for crowdsourced labeling tasks
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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)
PiCoDes: Learning a Compact Code for Novel-Category Recognition
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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)
Optimistic Optimization of Deterministic Functions
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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)
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)
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)
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction
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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)
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)
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
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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)
Portmanteau Vocabularies for Multi-Cue Image Representation
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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)
Nonlinear Inverse Reinforcement Learning with Gaussian Processes
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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)
Large-Scale Category Structure Aware Image Categorization
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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)
Kernel Embeddings of Latent Tree Graphical 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)
Group Anomaly Detection using Flexible Genre Models
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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)
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)
Higher-Order Correlation Clustering for Image Segmentation
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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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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)
Hierarchical Matching Pursuit for Recognition: Architecture and Fast Algorithms
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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)
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)
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)
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 Offline Communication Policies for Factored Multiagent POMDPs
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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)
Causal Discovery with Cyclic Additive Noise Models
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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)
Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts
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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)
Bayesian Partitioning of Large-Scale Distance Data
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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)
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)
Active dendrites: adaptation to spike-based communication
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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)
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 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)
A Model for Temporal Dependencies in Event Streams
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