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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Multiple Tasks in Parallel with a Shared Annotator
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Submodular Attribute Selection for Action Recognition in Video
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Deep Joint Task Learning for Generic Object Extraction
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Analysis of Brain States from Multi-Region LFP Time-Series
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Communication Efficient Distributed Machine Learning with the Parameter Server
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Object Localization based on Structural SVM using Privileged Information
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Clamping Variables and Approximate Inference
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Coresets for k-Segmentation of Streaming Data
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
large scale canonical correlation analysis with iterative least squares
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Unsupervised Deep Haar Scattering on Graphs
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Tight Continuous Relaxation of the Balanced k-Cut Problem
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Smoothed Gradients for Stochastic Variational Inference
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Stochastic variational inference for hidden Markov models
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Stochastic Proximal Gradient Descent with Acceleration Techniques
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Streaming, Memory Limited Algorithms for Community Detection
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Scale Adaptive Blind Deblurring
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Self-Paced Learning with Diversity
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Shape and Illumination from Shading using the Generic Viewpoint Assumption
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Sequential Monte Carlo for Graphical Models
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Real-Time Decoding of an Integrate and Fire Encoder
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Repeated Contextual Auctions with Strategic Buyers
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Recursive Inversion Models for Permutations
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
On Model Parallelization and Scheduling Strategies for Distributed Machine Learning
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Partition-wise Linear Models
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Sparse PCA with Oracle Property
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
PAC-Bayesian AUC classification and scoring
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Projective dictionary pair learning for pattern classification
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
On Multiplicative Multitask Feature Learning
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
On Prior Distributions and Approximate Inference for Structured Variables
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multivariate Regression with Calibration
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multitask learning meets tensor factorization: task imputation via convex optimization
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning convolution filters for inverse covariance estimation of neural network connectivity
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Modeling Deep Temporal Dependencies with Recurrent "Grammar Cells"
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Message Passing Inference for Large Scale Graphical Models with High Order Potentials
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Shuffle Ideals Under Restricted Distributions
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Optimal Commitment to Overcome Insecurity
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Chordal Markov Networks by Dynamic Programming
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Incremental Local Gaussian Regression
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Improved Distributed Principal Component Analysis
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Hardness of parameter estimation in graphical models
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Gibbs-type Indian Buffet Processes
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Just-In-Time Learning for Fast and Flexible Inference
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Incremental Clustering: The Case for Extra Clusters
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Generalized Unsupervised Manifold Alignment
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Fairness in Multi-Agent Sequential Decision-Making
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Flexible Transfer Learning under Support and Model Shift
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Extracting Latent Structure From Multiple Interacting Neural Populations
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Expectation-Maximization for Learning Determinantal Point Processes
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Exclusive Feature Learning on Arbitrary Structures via $\ell_{1,2}$-norm
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Divide-and-Conquer Learning by Anchoring a Conical Hull
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Diverse Randomized Agents Vote to Win
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Distributed Bayesian Posterior Sampling via Moment Sharing
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Deep Recursive Neural Networks for Compositionality in Language
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Bayesian Sampling Using Stochastic Gradient Thermostats
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Discovering Structure in High-Dimensional Data Through Correlation Explanation
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Decoupled Variational Gaussian Inference
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Convolutional Neural Network Architectures for Matching Natural Language Sentences
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Concavity of reweighted Kikuchi approximation
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Cone-Constrained Principal Component Analysis
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Computing Nash Equilibria in Generalized Interdependent Security Games
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Causal Inference through a Witness Protection Program
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Communication-Efficient Distributed Dual Coordinate Ascent
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Approximating Hierarchical MV-sets for Hierarchical Clustering
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Biclustering Using Message Passing
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Bregman Alternating Direction Method of Multipliers
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Optimal Teaching for Limited-Capacity Human Learners
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A statistical model for tensor PCA
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Accelerated Mini-batch Randomized Block Coordinate Descent Method
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Algorithm selection by rational metareasoning as a model of human strategy selection
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Framework for Testing Identifiability of Bayesian Models of Perception
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Filtering Approach to Stochastic Variational Inference
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Unsupervised learning of an efficient short-term memory network
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Structure Regularization for Structured Prediction
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Complete Variational Tracker
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Transportability from Multiple Environments with Limited Experiments: Completeness Results
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Randomized Experimental Design for Causal Graph Discovery
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Recurrent Models of Visual Attention
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Optimal decision-making with time-varying evidence reliability
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Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Making Pairwise Binary Graphical Models Attractive
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Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Mode Estimation for High Dimensional Discrete Tree Graphical Models
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Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Causal Strategic Inference in Networked Microfinance Economies
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Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Augur: Data-Parallel Probabilistic Modeling
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Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
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Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Advances in Learning Bayesian Networks of Bounded Treewidth
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Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Statistical Decision-Theoretic Framework for Social Choice
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