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Indicates the beginning of a session

 Tue Dec 09, 2014

Time Level 2, room 210D
07:00 PM (Posters)
Analog Memories in a Balanced Rate-Based Network of E-I Neurons Level 2, room 210D
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS) Level 2, room 210D
Conditional Random Field Autoencoders for Unsupervised Structured Prediction Level 2, room 210D
Feedforward Learning of Mixture Models Level 2, room 210D
Learning Generative Models with Visual Attention Level 2, room 210D
Median Selection Subset Aggregation for Parallel Inference Level 2, room 210D
Provable Submodular Minimization using Wolfe's Algorithm Level 2, room 210D
Sequence to Sequence Learning with Neural Networks Level 2, room 210D
A Bayesian model for identifying hierarchically organised states in neural population activity Level 2, room 210D
A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights Level 2, room 210D
A Latent Source Model for Online Collaborative Filtering Level 2, room 210D
Clustered factor analysis of multineuronal spike data Level 2, room 210D
Clustering from Labels and Time-Varying Graphs Level 2, room 210D
Convolutional Kernel Networks Level 2, room 210D
Design Principles of the Hippocampal Cognitive Map Level 2, room 210D
Discrete Graph Hashing Level 2, room 210D
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets Level 2, room 210D
Large-scale L-BFGS using MapReduce Level 2, room 210D
Learning Deep Features for Scene Recognition using Places Database Level 2, room 210D
Learning Distributed Representations for Structured Output Prediction Level 2, room 210D
Learning to Discover Efficient Mathematical Identities Level 2, room 210D
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions Level 2, room 210D
Recovery of Coherent Data via Low-Rank Dictionary Pursuit Level 2, room 210D
Scalable Inference for Neuronal Connectivity from Calcium Imaging Level 2, room 210D
Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices Level 2, room 210D
Searching for Higgs Boson Decay Modes with Deep Learning Level 2, room 210D
Semi-supervised Learning with Deep Generative Models Level 2, room 210D
Sparse Space-Time Deconvolution for Calcium Image Analysis Level 2, room 210D
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks Level 2, room 210D
The Noisy Power Method: A Meta Algorithm with Applications Level 2, room 210D
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets Level 2, room 210D
Two-Stream Convolutional Networks for Action Recognition in Videos Level 2, room 210D
A Dual Algorithm for Olfactory Computation in the Locust Brain Level 2, room 210D
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input Level 2, room 210D
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations Level 2, room 210D
A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System Level 2, room 210D
An Accelerated Proximal Coordinate Gradient Method Level 2, room 210D
Automated Variational Inference for Gaussian Process Models Level 2, room 210D
Bandit Convex Optimization: Towards Tight Bounds Level 2, room 210D
Compressive Sensing of Signals from a GMM with Sparse Precision Matrices Level 2, room 210D
Conditional Swap Regret and Conditional Correlated Equilibrium Level 2, room 210D
Content-based recommendations with Poisson factorization Level 2, room 210D
Controlling privacy in recommender systems Level 2, room 210D
Covariance shrinkage for autocorrelated data Level 2, room 210D
DFacTo: Distributed Factorization of Tensors Level 2, room 210D
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning Level 2, room 210D
Deep Symmetry Networks Level 2, room 210D
Discovering, Learning and Exploiting Relevance Level 2, room 210D
Discriminative Metric Learning by Neighborhood Gerrymandering Level 2, room 210D
Distributed Power-law Graph Computing: Theoretical and Empirical Analysis Level 2, room 210D
Diverse Sequential Subset Selection for Supervised Video Summarization Level 2, room 210D
Do Convnets Learn Correspondence? Level 2, room 210D
Deep Learning Face Representation by Joint Identification-Verification Level 2, room 210D
Efficient Optimization for Average Precision SVM Level 2, room 210D
Efficient Partial Monitoring with Prior Information Level 2, room 210D
Extremal Mechanisms for Local Differential Privacy Level 2, room 210D
Extreme bandits Level 2, room 210D
Fast Kernel Learning for Multidimensional Pattern Extrapolation Level 2, room 210D
Fast Training of Pose Detectors in the Fourier Domain Level 2, room 210D
Feedback Detection for Live Predictors Level 2, room 210D
Finding a sparse vector in a subspace: Linear sparsity using alternating directions Level 2, room 210D
LSDA: Large Scale Detection through Adaptation Level 2, room 210D
Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation Level 2, room 210D
Gaussian Process Volatility Model Level 2, room 210D
Generative Adversarial Nets Level 2, room 210D
Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction Level 2, room 210D
Learning Mixtures of Submodular Functions for Image Collection Summarization Level 2, room 210D
Learning Time-Varying Coverage Functions Level 2, room 210D
Learning on graphs using Orthonormal Representation is Statistically Consistent Level 2, room 210D
Local Decorrelation For Improved Pedestrian Detection Level 2, room 210D
Metric Learning for Temporal Sequence Alignment Level 2, room 210D
Mind the Nuisance: Gaussian Process Classification using Privileged Noise Level 2, room 210D
Minimax-optimal Inference from Partial Rankings Level 2, room 210D
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks Level 2, room 210D
Nonparametric Bayesian inference on multivariate exponential families Level 2, room 210D
On the Number of Linear Regions of Deep Neural Networks Level 2, room 210D
On the relations of LFPs & Neural Spike Trains Level 2, room 210D
Online Optimization for Max-Norm Regularization Level 2, room 210D
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions Level 2, room 210D
Online combinatorial optimization with stochastic decision sets and adversarial losses Level 2, room 210D
Optimal Neural Codes for Control and Estimation Level 2, room 210D
Optimal prior-dependent neural population codes under shared input noise Level 2, room 210D
Optimal rates for k-NN density and mode estimation Level 2, room 210D
Optimistic Planning in Markov Decision Processes Using a Generative Model Level 2, room 210D
Orbit Regularization Level 2, room 210D
PEWA: Patch-based Exponentially Weighted Aggregation for image denoising Level 2, room 210D
Probabilistic low-rank matrix completion on finite alphabets Level 2, room 210D
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators Level 2, room 210D
Quantized Kernel Learning for Feature Matching Level 2, room 210D
Ranking via Robust Binary Classification Level 2, room 210D
Reputation-based Worker Filtering in Crowdsourcing Level 2, room 210D
Robust Tensor Decomposition with Gross Corruption Level 2, room 210D
Rounding-based Moves for Metric Labeling Level 2, room 210D
Scalable Non-linear Learning with Adaptive Polynomial Expansions Level 2, room 210D
Shaping Social Activity by Incentivizing Users Level 2, room 210D
Sparse PCA via Covariance Thresholding Level 2, room 210D
Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers Level 2, room 210D
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm Level 2, room 210D
Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards Level 2, room 210D
The Large Margin Mechanism for Differentially Private Maximization Level 2, room 210D
Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology Level 2, room 210D
Tight convex relaxations for sparse matrix factorization Level 2, room 210D
Variational Gaussian Process State-Space Models Level 2, room 210D