(411 events)
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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
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
[ 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
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
An Autoencoder Approach to Learning Bilingual Word Representations
[ 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
Consistency of weighted majority votes
[ 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
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
A Representation Theory for Ranking Functions
[ 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
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
Improved Multimodal Deep Learning with Variation of Information
[ 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
Kernel Mean Estimation via Spectral Filtering
[ 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
Global Belief Recursive Neural Networks
[ 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
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
On Sparse Gaussian Chain Graph Models
[ 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
Predicting Useful Neighborhoods for Lazy Local Learning
[ 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
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
Zero-shot recognition with unreliable attributes
[ 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
Restricted Boltzmann machines modeling human choice
[ 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
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
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
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
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
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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
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
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
Learning the Learning Rate for Prediction with Expert Advice
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Computational Efficiency of Training Neural Networks
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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
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
Recursive Context Propagation Network for Semantic Scene Labeling
[ 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
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
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
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Sampling-Based Inference in Balanced Neuronal Networks
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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
SerialRank: Spectral Ranking using Seriation
[ 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
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
Dimensionality Reduction with Subspace Structure Preservation
[ 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
Zeta Hull Pursuits: Learning Nonconvex Data Hulls
[ 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
A Safe Screening Rule for Sparse Logistic Regression
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Time--Data Tradeoffs by Aggressive Smoothing
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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
Parallel Direction Method of Multipliers
[ 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
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
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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
Distributed Balanced Clustering via Mapping Coresets
[ PDF]
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Dependent nonparametric trees for dynamic hierarchical clustering
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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
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
Learning Mixed Multinomial Logit Model from Ordinal Data
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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
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
Structure learning of antiferromagnetic Ising models
[ 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
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
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
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
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
Generalized Dantzig Selector: Application to the k-support norm
[ 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
Projecting Markov Random Field Parameters for Fast Mixing
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
Weighted importance sampling for off-policy learning with linear function approximation
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Clustering from Labels and Time-Varying Graphs
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Median Selection Subset Aggregation for Parallel Inference
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Feedforward Learning of Mixture Models
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Provable Submodular Minimization using Wolfe's Algorithm
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scalable Inference for Neuronal Connectivity from Calcium Imaging
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Covariance shrinkage for autocorrelated data
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Ranking via Robust Binary Classification
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning on graphs using Orthonormal Representation is Statistically Consistent
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Recovery of Coherent Data via Low-Rank Dictionary Pursuit
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Conditional Swap Regret and Conditional Correlated Equilibrium
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Analog Memories in a Balanced Rate-Based Network of E-I Neurons
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Metric Learning for Temporal Sequence Alignment
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Shaping Social Activity by Incentivizing Users
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimal rates for k-NN density and mode estimation
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Large-scale L-BFGS using MapReduce
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Tight convex relaxations for sparse matrix factorization
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Noisy Power Method: A Meta Algorithm with Applications
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Online Optimization for Max-Norm Regularization
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Discriminative Metric Learning by Neighborhood Gerrymandering
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Convolutional Kernel Networks
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Gaussian Process Volatility Model
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Kernel Learning for Multidimensional Pattern Extrapolation
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Generative Adversarial Nets
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
DFacTo: Distributed Factorization of Tensors
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Diverse Sequential Subset Selection for Supervised Video Summarization
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Content-based recommendations with Poisson factorization
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Compressive Sensing of Signals from a GMM with Sparse Precision Matrices
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Time-Varying Coverage Functions
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Finding a sparse vector in a subspace: Linear sparsity using alternating directions
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Do Convnets Learn Correspondence?
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Feedback Detection for Live Predictors
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Latent Source Model for Online Collaborative Filtering
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Partial Monitoring with Prior Information
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sequence to Sequence Learning with Neural Networks
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Variational Gaussian Process State-Space Models
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Quantized Kernel Learning for Feature Matching
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Extremal Mechanisms for Local Differential Privacy
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Generative Models with Visual Attention
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Discovering, Learning and Exploiting Relevance
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scalable Non-linear Learning with Adaptive Polynomial Expansions
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Automated Variational Inference for Gaussian Process Models
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse PCA via Covariance Thresholding
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Clustered factor analysis of multineuronal spike data
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Rounding-based Moves for Metric Labeling
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimal prior-dependent neural population codes under shared input noise
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Online combinatorial optimization with stochastic decision sets and adversarial losses
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Conditional Random Field Autoencoders for Unsupervised Structured Prediction
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the relations of LFPs & Neural Spike Trains
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimistic Planning in Markov Decision Processes Using a Generative Model
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Deep Features for Scene Recognition using Places Database
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bandit Convex Optimization: Towards Tight Bounds
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Large Margin Mechanism for Differentially Private Maximization
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Bayesian model for identifying hierarchically organised states in neural population activity
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Tensor Decomposition with Gross Corruption
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Dual Algorithm for Olfactory Computation in the Locust Brain
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Nonparametric Bayesian inference on multivariate exponential families
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Local Decorrelation For Improved Pedestrian Detection
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Minimax-optimal Inference from Partial Rankings
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Controlling privacy in recommender systems
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distributed Power-law Graph Computing: Theoretical and Empirical Analysis
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Mixtures of Submodular Functions for Image Collection Summarization
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
PEWA: Patch-based Exponentially Weighted Aggregation for image denoising
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Reputation-based Worker Filtering in Crowdsourcing
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning to Discover Efficient Mathematical Identities
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Learning Face Representation by Joint Identification-Verification
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimal Neural Codes for Control and Estimation
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Probabilistic low-rank matrix completion on finite alphabets
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
An Accelerated Proximal Coordinate Gradient Method
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
LSDA: Large Scale Detection through Adaptation
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Design Principles of the Hippocampal Cognitive Map
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Distributed Representations for Structured Output Prediction
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Optimization for Average Precision SVM
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Training of Pose Detectors in the Fourier Domain
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Searching for Higgs Boson Decay Modes with Deep Learning
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Space-Time Deconvolution for Calcium Image Analysis
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Semi-supervised Learning with Deep Generative Models
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Mind the Nuisance: Gaussian Process Classification using Privileged Noise
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Number of Linear Regions of Deep Neural Networks
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction
[ PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Two-Stream Convolutional Networks for Action Recognition in Videos
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
How transferable are features in deep neural networks?
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distance-Based Network Recovery under Feature Correlation
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Latent Support Measure Machines for Bag-of-Words Data Classification
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Classification Under Sample Selection Bias
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast and Robust Least Squares Estimation in Corrupted Linear Models
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Methods for Indian Buffet Process Inference
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Testing Unfaithful Gaussian Graphical Models
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multivariate f-divergence Estimation With Confidence
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Parallel Double Greedy Submodular Maximization
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bayes-Adaptive Simulation-based Search with Value Function Approximation
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Prediction for Large-Scale Kernel Machines
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
"How hard is my MDP?" The distribution-norm to the rescue
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Extended and Unscented Gaussian Processes
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Beyond Disagreement-Based Agnostic Active Learning
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning to Search in Branch and Bound Algorithms
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Large-Margin Convex Polytope Machine
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The limits of squared Euclidean distance regularization
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bounded Regret for Finite-Armed Structured Bandits
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Rates of Convergence for Nearest Neighbor Classification
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scaling-up Importance Sampling for Markov Logic Networks
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Positive Curvature and Hamiltonian Monte Carlo
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Low Rank Approximation Lower Bounds in Row-Update Streams
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Global Sensitivity Analysis for MAP Inference in Graphical Models
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Sampling for Learning Sparse Additive Models in High Dimensions
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Decomposing Parameter Estimation Problems
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Active Regression by Stratification
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Difference of Convex Functions Programming for Reinforcement Learning
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Tree-structured Gaussian Process Approximations
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Consistent Binary Classification with Generalized Performance Metrics
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimizing F-Measures by Cost-Sensitive Classification
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multi-scale Graphical Models for Spatio-Temporal Processes
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Boosting Framework on Grounds of Online Learning
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Mixtures of Ranking Models
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Combinatorial Pure Exploration of Multi-Armed Bandits
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Wild Bootstrap for Degenerate Kernel Tests
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
From Stochastic Mixability to Fast Rates
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Minimax Signal Detection on Graphs
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On Communication Cost of Distributed Statistical Estimation and Dimensionality
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Clustering of graphs with the Bethe Hessian
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Information Theoretic Limits of Learning Ising Models
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Convex Deep Learning via Normalized Kernels
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Methods for Supervised Topic Models
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Estimation with Norm Regularization
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Altitude Training: Strong Bounds for Single-Layer Dropout
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Probabilistic ODE Solvers with Runge-Kutta Means
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Feature Cross-Substitution in Adversarial Classification
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
An Integer Polynomial Programming Based Framework for Lifted MAP Inference
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Structured Matrix Rank Minimization
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Best-Arm Identification in Linear Bandits
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Near-optimal Reinforcement Learning in Factored MDPs
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Provable Tensor Factorization with Missing Data
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Stochastic Network Design in Bidirected Trees
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Near-optimal sample compression for nearest neighbors
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Exponential Concentration of a Density Functional Estimator
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient learning by implicit exploration in bandit problems with side observations
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Constrained convex minimization via model-based excessive gap
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimizing Energy Production Using Policy Search and Predictive State Representations
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Exploiting easy data in online optimization
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Unsupervised Transcription of Piano Music
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Learning of Mixture of Hidden Markov Models
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multi-Resolution Cascades for Multiclass Object Detection
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Logistic Regression and Classification
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Neural Word Embedding as Implicit Matrix Factorization
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multi-Scale Spectral Decomposition of Massive Graphs
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bayesian Inference for Structured Spike and Slab Priors
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Analysis of Learning from Positive and Unlabeled Data
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Active Learning and Best-Response Dynamics
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deterministic Symmetric Positive Semidefinite Matrix Completion
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Reducing the Rank in Relational Factorization Models by Including Observable Patterns
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Blinded Bandit: Learning with Adaptive Feedback
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Convolutional Neural Network for Image Deconvolution
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
New Rules for Domain Independent Lifted MAP Inference
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Low-Rank Time-Frequency Synthesis
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning to Optimize via Information-Directed Sampling
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Do Deep Nets Really Need to be Deep?
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Polynomial Learning and Graph Sketching
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Asynchronous Anytime Sequential Monte Carlo
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning with Pseudo-Ensembles
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
From MAP to Marginals: Variational Inference in Bayesian Submodular Models
[ PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Drifting-Games Analysis for Online Learning and Applications to Boosting
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Stochastic Proximal Gradient Descent with Acceleration Techniques
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Hardness of parameter estimation in graphical models
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Projective dictionary pair learning for pattern classification
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Recursive Inversion Models for Permutations
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Causal Inference through a Witness Protection Program
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Filtering Approach to Stochastic Variational Inference
[ PDF]
Poster
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
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Streaming, Memory Limited Algorithms for Community Detection
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Optimal decision-making with time-varying evidence reliability
[ PDF]
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
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Structure Regularization for Structured Prediction
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Partition-wise Linear Models
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Sparse PCA with Oracle Property
[ PDF]
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
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multivariate Regression with Calibration
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Incremental Clustering: The Case for Extra Clusters
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Concavity of reweighted Kikuchi approximation
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Real-Time Decoding of an Integrate and Fire Encoder
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Approximating Hierarchical MV-sets for Hierarchical Clustering
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Convolutional Neural Network Architectures for Matching Natural Language Sentences
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Improved Distributed Principal Component Analysis
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Extracting Latent Structure From Multiple Interacting Neural Populations
[ PDF]
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
[ PDF]
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
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Repeated Contextual Auctions with Strategic Buyers
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Decoupled Variational Gaussian Inference
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Statistical Decision-Theoretic Framework for Social Choice
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Randomized Experimental Design for Causal Graph Discovery
[ PDF]
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
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Deep Recursive Neural Networks for Compositionality in Language
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Chordal Markov Networks by Dynamic Programming
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Scale Adaptive Blind Deblurring
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Coresets for k-Segmentation of Streaming Data
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Advances in Learning Bayesian Networks of Bounded Treewidth
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Distributed Bayesian Posterior Sampling via Moment Sharing
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Sequential Monte Carlo for Graphical Models
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Multiple Tasks in Parallel with a Shared Annotator
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
On Prior Distributions and Approximate Inference for Structured Variables
[ PDF]
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
[ PDF]
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
[ PDF]
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
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Stochastic variational inference for hidden Markov models
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Fairness in Multi-Agent Sequential Decision-Making
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Bayesian Sampling Using Stochastic Gradient Thermostats
[ PDF]
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
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
On Multiplicative Multitask Feature Learning
[ PDF]
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
[ PDF]
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
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection
[ PDF]
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
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
PAC-Bayesian AUC classification and scoring
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Incremental Local Gaussian Regression
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Self-Paced Learning with Diversity
[ PDF]
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
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Cone-Constrained Principal Component Analysis
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Tight Continuous Relaxation of the Balanced k-Cut Problem
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Communication Efficient Distributed Machine Learning with the Parameter Server
[ PDF]
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
Unsupervised learning of an efficient short-term memory network
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Complete Variational Tracker
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Optimal Teaching for Limited-Capacity Human Learners
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Bregman Alternating Direction Method of Multipliers
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Mode Estimation for High Dimensional Discrete Tree Graphical Models
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Causal Strategic Inference in Networked Microfinance Economies
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Discovering Structure in High-Dimensional Data Through Correlation Explanation
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Clamping Variables and Approximate Inference
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Diverse Randomized Agents Vote to Win
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Flexible Transfer Learning under Support and Model Shift
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Making Pairwise Binary Graphical Models Attractive
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A statistical model for tensor PCA
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Object Localization based on Structural SVM using Privileged Information
[ PDF]
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
[ PDF]
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
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Optimal Commitment to Overcome Insecurity
[ PDF]
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
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Generalized Unsupervised Manifold Alignment
[ PDF]
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
[ PDF]
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
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Divide-and-Conquer Learning by Anchoring a Conical Hull
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Communication-Efficient Distributed Dual Coordinate Ascent
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
large scale canonical correlation analysis with iterative least squares
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Submodular Attribute Selection for Action Recognition in Video
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Computing Nash Equilibria in Generalized Interdependent Security Games
[ PDF]
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
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Expectation-Maximization for Learning Determinantal Point Processes
[ PDF]
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
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Recurrent Models of Visual Attention
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Smoothed Gradients for Stochastic Variational Inference
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Accelerated Mini-batch Randomized Block Coordinate Descent Method
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Augur: Data-Parallel Probabilistic Modeling
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Shuffle Ideals Under Restricted Distributions
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Deep Joint Task Learning for Generic Object Extraction
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Just-In-Time Learning for Fast and Flexible Inference
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Unsupervised Deep Haar Scattering on Graphs
[ PDF]
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
[ PDF]
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
[ PDF]
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
[ PDF]
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
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Modeling Deep Temporal Dependencies with Recurrent "Grammar Cells"
[ PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Transportability from Multiple Environments with Limited Experiments: Completeness Results
[ PDF]