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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
General Table Completion using a Bayesian Nonparametric Model
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Multi-Task Reinforcement Learning
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Dynamic Rank Factor Model for Text Streams
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Representation Theory for Ranking Functions
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral k-Support Norm Regularization
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Self-Adaptable Templates for Feature Coding
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multiscale Fields of Patterns
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Information-based learning by agents in unbounded state spaces
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Predicting Useful Neighborhoods for Lazy Local Learning
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Restricted Boltzmann machines modeling human choice
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Zero-shot recognition with unreliable attributes
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sensory Integration and Density Estimation
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Online Decision-Making in General Combinatorial Spaces
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On Sparse Gaussian Chain Graph Models
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On Integrated Clustering and Outlier Detection
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Mondrian Forests: Efficient Online Random Forests
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Kernel Mean Estimation via Spectral Filtering
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Improved Multimodal Deep Learning with Variation of Information
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Minimax Strategies for Square Loss Games
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Networks with Internal Selective Attention through Feedback Connections
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Consistency of weighted majority votes
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Magnitude-sensitive preference formation`
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Weighted importance sampling for off-policy learning with linear function approximation
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Bayesian structure learning with dependent relevance determination prior
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Projecting Markov Random Field Parameters for Fast Mixing
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Elementary Estimators for Graphical Models
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Dependent nonparametric trees for dynamic hierarchical clustering
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distributed Balanced Clustering via Mapping Coresets
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Subspace Embeddings for the Polynomial Kernel
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Time--Data Tradeoffs by Aggressive Smoothing
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Dimensionality Reduction with Subspace Structure Preservation
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A provable SVD-based algorithm for learning topics in dominant admixture corpus
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A framework for studying synaptic plasticity with neural spike train data
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
An Autoencoder Approach to Learning Bilingual Word Representations
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Unified Semantic Embedding: Relating Taxonomies and Attributes
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Structure learning of antiferromagnetic Ising models
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Parallel Direction Method of Multipliers
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning the Learning Rate for Prediction with Expert Advice
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Global Belief Recursive Neural Networks
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Parallel Feature Selection Inspired by Group Testing
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Low-dimensional models of neural population activity in sensory cortical circuits
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Pre-training of Recurrent Neural Networks via Linear Autoencoders
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Infinite Mixture of Infinite Gaussian Mixtures
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Computational Efficiency of Training Neural Networks
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Factoring Variations in Natural Images with Deep Gaussian Mixture Models
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Convergence Rate of Decomposable Submodular Function Minimization
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Zeta Hull Pursuits: Learning Nonconvex Data Hulls
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Safe Screening Rule for Sparse Logistic Regression
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Graph Clustering With Missing Data: Convex Algorithms and Analysis
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Simple MAP Inference via Low-Rank Relaxations
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Parallel Sampling of HDPs using Sub-Cluster Splits
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning with Fredholm Kernels
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distributed Estimation, Information Loss and Exponential Families
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Recursive Context Propagation Network for Semantic Scene Labeling
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Top Rank Optimization in Linear Time
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Local Linear Convergence of Forward--Backward under Partial Smoothness
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Inferring synaptic conductances from spike trains with a biophysically inspired point process model
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Blossom Tree Graphical Models
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Algorithms for CVaR Optimization in MDPs
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Sampling-Based Inference in Balanced Neuronal Networks
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
SerialRank: Spectral Ranking using Seriation
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Bayesian Max-Margin Clustering
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scalable Kernel Methods via Doubly Stochastic Gradients
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Probabilistic Differential Dynamic Programming
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Model-based Reinforcement Learning and the Eluder Dimension
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Iterative Neural Autoregressive Distribution Estimator NADE-k
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Exact Post Model Selection Inference for Marginal Screening
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Convex Optimization Procedure for Clustering: Theoretical Revisit
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Attentional Neural Network: Feature Selection Using Cognitive Feedback
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Mixed Multinomial Logit Model from Ordinal Data
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distributed Parameter Estimation in Probabilistic Graphical Models
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Weakly-supervised Discovery of Visual Pattern Configurations
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning a Concept Hierarchy from Multi-labeled Documents
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
General Stochastic Networks for Classification
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Generalized Dantzig Selector: Application to the k-support norm
[ PDF]