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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Minimax-optimal Inference from Partial Rankings
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Large Margin Mechanism for Differentially Private Maximization
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Variational Gaussian Process State-Space Models
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Tight convex relaxations for sparse matrix factorization
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Shaping Social Activity by Incentivizing Users
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Rounding-based Moves for Metric Labeling
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Tensor Decomposition with Gross Corruption
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Quantized Kernel Learning for Feature Matching
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Reputation-based Worker Filtering in Crowdsourcing
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scalable Non-linear Learning with Adaptive Polynomial Expansions
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Ranking via Robust Binary Classification
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimal Neural Codes for Control and Estimation
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimal rates for k-NN density and mode estimation
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Probabilistic low-rank matrix completion on finite alphabets
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
PEWA: Patch-based Exponentially Weighted Aggregation for image denoising
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Online Optimization for Max-Norm Regularization
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the relations of LFPs & Neural Spike Trains
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Nonparametric Bayesian inference on multivariate exponential families
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Metric Learning for Temporal Sequence Alignment
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Time-Varying Coverage Functions
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Mind the Nuisance: Gaussian Process Classification using Privileged Noise
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning on graphs using Orthonormal Representation is Statistically Consistent
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Local Decorrelation For Improved Pedestrian Detection
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Mixtures of Submodular Functions for Image Collection Summarization
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Gaussian Process Volatility Model
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Feedback Detection for Live Predictors
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Training of Pose Detectors in the Fourier Domain
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Generative Adversarial Nets
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
LSDA: Large Scale Detection through Adaptation
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Extremal Mechanisms for Local Differential Privacy
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Optimization for Average Precision SVM
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Do Convnets Learn Correspondence?
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Diverse Sequential Subset Selection for Supervised Video Summarization
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distributed Power-law Graph Computing: Theoretical and Empirical Analysis
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Learning Face Representation by Joint Identification-Verification
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Partial Monitoring with Prior Information
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Discriminative Metric Learning by Neighborhood Gerrymandering
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Discovering, Learning and Exploiting Relevance
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Controlling privacy in recommender systems
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Covariance shrinkage for autocorrelated data
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Content-based recommendations with Poisson factorization
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
DFacTo: Distributed Factorization of Tensors
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Conditional Swap Regret and Conditional Correlated Equilibrium
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Automated Variational Inference for Gaussian Process Models
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bandit Convex Optimization: Towards Tight Bounds
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
An Accelerated Proximal Coordinate Gradient Method
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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
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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
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Two-Stream Convolutional Networks for Action Recognition in Videos
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Noisy Power Method: A Meta Algorithm with Applications
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Semi-supervised Learning with Deep Generative Models
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Recovery of Coherent Data via Low-Rank Dictionary Pursuit
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Space-Time Deconvolution for Calcium Image Analysis
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Searching for Higgs Boson Decay Modes with Deep Learning
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning to Discover Efficient Mathematical Identities
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Distributed Representations for Structured Output Prediction
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Deep Features for Scene Recognition using Places Database
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Large-scale L-BFGS using MapReduce
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Convolutional Kernel Networks
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Clustering from Labels and Time-Varying Graphs
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Median Selection Subset Aggregation for Parallel Inference
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Latent Source Model for Online Collaborative Filtering
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Generative Models with Visual Attention
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sequence to Sequence Learning with Neural Networks
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Feedforward Learning of Mixture Models
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Conditional Random Field Autoencoders for Unsupervised Structured Prediction
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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)
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Kernel Learning for Multidimensional Pattern Extrapolation
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Clustered factor analysis of multineuronal spike data
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Provable Submodular Minimization using Wolfe's Algorithm
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scalable Inference for Neuronal Connectivity from Calcium Imaging
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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
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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
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse PCA via Covariance Thresholding
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Design Principles of the Hippocampal Cognitive Map
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