Loading…
This event has ended. View the official site or create your own event → Check it out
This event has ended. Create your own
View analytic

Sign up or log in to bookmark your favorites and sync them to your phone or calendar.

Wednesday, December 4
 

4:00pm

 
Thursday, December 5
 

7:30am

8:00am

9:30am

10:45am

1:00pm

3:00pm

3:30pm

6:30pm

7:00pm

(Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings Harrah's Special Events Center, 2nd Floor A Gang of Bandits Harrah's Special Events Center, 2nd Floor A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles Harrah's Special Events Center, 2nd Floor A message-passing algorithm for multi-agent trajectory planning Harrah's Special Events Center, 2nd Floor A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks Harrah's Special Events Center, 2nd Floor A Stability-based Validation Procedure for Differentially Private Machine Learning Harrah's Special Events Center, 2nd Floor Accelerated Mini-Batch Stochastic Dual Coordinate Ascent Harrah's Special Events Center, 2nd Floor Accelerating Stochastic Gradient Descent using Predictive Variance Reduction Harrah's Special Events Center, 2nd Floor Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion Harrah's Special Events Center, 2nd Floor Adaptive Submodular Maximization in Bandit Setting Harrah's Special Events Center, 2nd Floor Aggregating Optimistic Planning Trees for Solving Markov Decision Processes Harrah's Special Events Center, 2nd Floor An Approximate, Efficient LP Solver for LP Rounding Harrah's Special Events Center, 2nd Floor Approximate Gaussian process inference for the drift function in stochastic differential equations Harrah's Special Events Center, 2nd Floor Auditing: Active Learning with Outcome-Dependent Query Costs Harrah's Special Events Center, 2nd Floor Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models Harrah's Special Events Center, 2nd Floor Bayesian inference for low rank spatiotemporal neural receptive fields Harrah's Special Events Center, 2nd Floor Bayesian optimization explains human active search Harrah's Special Events Center, 2nd Floor Better Approximation and Faster Algorithm Using the Proximal Average Harrah's Special Events Center, 2nd Floor Blind Calibration in Compressed Sensing using Message Passing Algorithms Harrah's Special Events Center, 2nd Floor Buy-in-Bulk Active Learning Harrah's Special Events Center, 2nd Floor Cluster Trees on Manifolds Harrah's Special Events Center, 2nd Floor Compressive Feature Learning Harrah's Special Events Center, 2nd Floor Computing the Stationary Distribution Locally Harrah's Special Events Center, 2nd Floor Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models Harrah's Special Events Center, 2nd Floor Contrastive Learning Using Spectral Methods Harrah's Special Events Center, 2nd Floor Convex Relaxations for Permutation Problems Harrah's Special Events Center, 2nd Floor Convex Tensor Decomposition via Structured Schatten Norm Regularization Harrah's Special Events Center, 2nd Floor Correlated random features for fast semi-supervised learning Harrah's Special Events Center, 2nd Floor Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions Harrah's Special Events Center, 2nd Floor Data-driven Distributionally Robust Polynomial Optimization Harrah's Special Events Center, 2nd Floor Deep content-based music recommendation Harrah's Special Events Center, 2nd Floor EDML for Learning Parameters in Directed and Undirected Graphical Models Harrah's Special Events Center, 2nd Floor Efficient Algorithm for Privately Releasing Smooth Queries Harrah's Special Events Center, 2nd Floor Efficient Exploration and Value Function Generalization in Deterministic Systems Harrah's Special Events Center, 2nd Floor Embed and Project: Discrete Sampling with Universal Hashing Harrah's Special Events Center, 2nd Floor Estimating LASSO Risk and Noise Level Harrah's Special Events Center, 2nd Floor Estimation, Optimization, and Parallelism when Data is Sparse Harrah's Special Events Center, 2nd Floor Fast Determinantal Point Process Sampling with Application to Clustering Harrah's Special Events Center, 2nd Floor Generalized Method-of-Moments for Rank Aggregation Harrah's Special Events Center, 2nd Floor Generalized Random Utility Models with Multiple Types Harrah's Special Events Center, 2nd Floor Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream Harrah's Special Events Center, 2nd Floor Improved and Generalized Upper Bounds on the Complexity of Policy Iteration Harrah's Special Events Center, 2nd Floor Latent Structured Active Learning Harrah's Special Events Center, 2nd Floor Learning and using language via recursive pragmatic reasoning about other agents Harrah's Special Events Center, 2nd Floor Learning Chordal Markov Networks by Constraint Satisfaction Harrah's Special Events Center, 2nd Floor Learning Prices for Repeated Auctions with Strategic Buyers Harrah's Special Events Center, 2nd Floor Learning Stochastic Inverses Harrah's Special Events Center, 2nd Floor Learning to Prune in Metric and Non-Metric Spaces Harrah's Special Events Center, 2nd Floor Least Informative Dimensions Harrah's Special Events Center, 2nd Floor Linear Convergence with Condition Number Independent Access of Full Gradients Harrah's Special Events Center, 2nd Floor Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation Harrah's Special Events Center, 2nd Floor Low-Rank Matrix and Tensor Completion via Adaptive Sampling Harrah's Special Events Center, 2nd Floor Manifold-based Similarity Adaptation for Label Propagation Harrah's Special Events Center, 2nd Floor Marginals-to-Models Reducibility Harrah's Special Events Center, 2nd Floor Memoized Online Variational Inference for Dirichlet Process Mixture Models Harrah's Special Events Center, 2nd Floor Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation Harrah's Special Events Center, 2nd Floor Mixed Optimization for Smooth Functions Harrah's Special Events Center, 2nd Floor Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition Harrah's Special Events Center, 2nd Floor Modeling Overlapping Communities with Node Popularities Harrah's Special Events Center, 2nd Floor Multiscale Dictionary Learning for Estimating Conditional Distributions Harrah's Special Events Center, 2nd Floor On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations Harrah's Special Events Center, 2nd Floor On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization Harrah's Special Events Center, 2nd Floor On the Sample Complexity of Subspace Learning Harrah's Special Events Center, 2nd Floor Online learning in episodic Markovian decision processes by relative entropy policy search Harrah's Special Events Center, 2nd Floor Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions Harrah's Special Events Center, 2nd Floor Online Learning of Dynamic Parameters in Social Networks Harrah's Special Events Center, 2nd Floor Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation Harrah's Special Events Center, 2nd Floor Optimal Neural Population Codes for High-dimensional Stimulus Variables Harrah's Special Events Center, 2nd Floor Pass-efficient unsupervised feature selection Harrah's Special Events Center, 2nd Floor Polar Operators for Structured Sparse Estimation Harrah's Special Events Center, 2nd Floor Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms Harrah's Special Events Center, 2nd Floor Projecting Ising Model Parameters for Fast Mixing Harrah's Special Events Center, 2nd Floor Reflection methods for user-friendly submodular optimization Harrah's Special Events Center, 2nd Floor Relevance Topic Model for Unstructured Social Group Activity Recognition Harrah's Special Events Center, 2nd Floor Robust learning of low-dimensional dynamics from large neural ensembles Harrah's Special Events Center, 2nd Floor Scalable Inference for Logistic-Normal Topic Models Harrah's Special Events Center, 2nd Floor Sensor Selection in High-Dimensional Gaussian Trees with Nuisances Harrah's Special Events Center, 2nd Floor Similarity Component Analysis Harrah's Special Events Center, 2nd Floor Solving the multi-way matching problem by permutation synchronization Harrah's Special Events Center, 2nd Floor Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions Harrah's Special Events Center, 2nd Floor Spectral methods for neural characterization using generalized quadratic models Harrah's Special Events Center, 2nd Floor Speedup Matrix Completion with Side Information: Application to Multi-Label Learning Harrah's Special Events Center, 2nd Floor Stochastic Convex Optimization with Multiple Objectives Harrah's Special Events Center, 2nd Floor Streaming Variational Bayes Harrah's Special Events Center, 2nd Floor Supervised Sparse Analysis and Synthesis Operators Harrah's Special Events Center, 2nd Floor The Power of Asymmetry in Binary Hashing Harrah's Special Events Center, 2nd Floor When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity Harrah's Special Events Center, 2nd Floor When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements Harrah's Special Events Center, 2nd Floor Σ-Optimality for Active Learning on Gaussian Random Fields Harrah's Special Events Center, 2nd Floor
 
Friday, December 6
 

7:30am

9:00am

9:50am

10:10am

10:14am

10:18am

10:22am

10:26am

10:30am

11:00am

11:20am

11:40am

11:44am

11:48am

11:52am

11:56am

12:00pm

12:04pm

12:05pm

2:00pm

2:50pm

3:10pm

3:30pm

3:34pm

3:38pm

3:42pm

3:46pm

3:50pm

4:20pm

4:40pm

5:00pm

5:20pm

5:40pm

5:44pm

5:48pm

5:52pm

5:56pm

7:00pm

A Mobile Development Platform for Adaptive Machine Learning and Neuromorphic Computing in Robotics Tahoe A, Harrah’s Special Events Center 2nd Floor Accelerating Deep Neural Networks on Mobile Processor with Embedded Programmable Logic Tahoe A+B, Harrah’s Special Events Center 2nd Floor Codewebs: a Pedagogical Search Engine for Code Submissions to a MOOC Tahoe A, Harrah’s Special Events Center 2nd Floor Controlling Robot Dynamics With Spiking Neurons Tahoe A+B, Harrah’s Special Events Center 2nd Floor Di-BOSS™: Digital Building Operating System Solution Tahoe C, Harrah’s Special Events Center 2nd Floor NCS: A Novel CPU/GPU Simulation Environment for Large-Scale Biologically-Realistic Neural Modeling Tahoe B, Harrah’s Special Events Center 2nd Floor The Three-Weight Algorithm: Enhancing ADMM for Large-Scale Distributed Optimization Tahoe B, Harrah’s Special Events Center 2nd Floor A Deep Architecture for Matching Short Texts Harrah's Special Events Center, 2nd Floor A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data Harrah's Special Events Center, 2nd Floor A memory frontier for complex synapses Harrah's Special Events Center, 2nd Floor A New Convex Relaxation for Tensor Completion Harrah's Special Events Center, 2nd Floor A simple example of Dirichlet process mixture inconsistency for the number of components Harrah's Special Events Center, 2nd Floor Adaptive Anonymity via $b$-Matching Harrah's Special Events Center, 2nd Floor Adaptive dropout for training deep neural networks Harrah's Special Events Center, 2nd Floor Analyzing Hogwild Parallel Gaussian Gibbs Sampling Harrah's Special Events Center, 2nd Floor Annealing between distributions by averaging moments Harrah's Special Events Center, 2nd Floor Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs Harrah's Special Events Center, 2nd Floor Approximate inference in latent Gaussian-Markov models from continuous time observations Harrah's Special Events Center, 2nd Floor Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions Harrah's Special Events Center, 2nd Floor Bayesian entropy estimation for binary spike train data using parametric prior knowledge Harrah's Special Events Center, 2nd Floor Bayesian Hierarchical Community Discovery Harrah's Special Events Center, 2nd Floor Bayesian inference as iterated random functions with applications to sequential inference in graphical models Harrah's Special Events Center, 2nd Floor Capacity of strong attractor patterns to model behavioural and cognitive prototypes Harrah's Special Events Center, 2nd Floor Causal Inference on Time Series using Restricted Structural Equation Models Harrah's Special Events Center, 2nd Floor Compete to Compute Harrah's Special Events Center, 2nd Floor Convex Two-Layer Modeling Harrah's Special Events Center, 2nd Floor Correlations strike back (again): the case of associative memory retrieval Harrah's Special Events Center, 2nd Floor Demixing odors - fast inference in olfaction Harrah's Special Events Center, 2nd Floor Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests Harrah's Special Events Center, 2nd Floor Discriminative Transfer Learning with Tree-based Priors Harrah's Special Events Center, 2nd Floor Distributed Representations of Words and Phrases and their Compositionality Harrah's Special Events Center, 2nd Floor Distributed Submodular Maximization: Identifying Representative Elements in Massive Data Harrah's Special Events Center, 2nd Floor Dropout Training as Adaptive Regularization Harrah's Special Events Center, 2nd Floor Efficient Online Inference for Bayesian Nonparametric Relational Models Harrah's Special Events Center, 2nd Floor Exact and Stable Recovery of Pairwise Interaction Tensors Harrah's Special Events Center, 2nd Floor Firing rate predictions in optimal balanced networks Harrah's Special Events Center, 2nd Floor Flexible sampling of discrete data correlations without the marginal distributions Harrah's Special Events Center, 2nd Floor Generalized Denoising Auto-Encoders as Generative Models Harrah's Special Events Center, 2nd Floor Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering Harrah's Special Events Center, 2nd Floor Graphical Models for Inference with Missing Data Harrah's Special Events Center, 2nd Floor Inferring neural population dynamics from multiple partial recordings of the same neural circuit Harrah's Special Events Center, 2nd Floor Integrated Non-Factorized Variational Inference Harrah's Special Events Center, 2nd Floor Large Scale Distributed Sparse Precision Estimation Harrah's Special Events Center, 2nd Floor Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions Harrah's Special Events Center, 2nd Floor Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition Harrah's Special Events Center, 2nd Floor Learning Multi-level Sparse Representations Harrah's Special Events Center, 2nd Floor Learning Stochastic Feedforward Neural Networks Harrah's Special Events Center, 2nd Floor Learning to Pass Expectation Propagation Messages Harrah's Special Events Center, 2nd Floor Learning with Noisy Labels Harrah's Special Events Center, 2nd Floor Low-rank matrix reconstruction and clustering via approximate message passing Harrah's Special Events Center, 2nd Floor Machine Teaching for Bayesian Learners in the Exponential Family Harrah's Special Events Center, 2nd Floor Matrix Completion From any Given Set of Observations Harrah's Special Events Center, 2nd Floor Matrix factorization with binary components Harrah's Special Events Center, 2nd Floor Memory Limited, Streaming PCA Harrah's Special Events Center, 2nd Floor Multi-Prediction Deep Boltzmann Machines Harrah's Special Events Center, 2nd Floor Multisensory Encoding, Decoding, and Identification Harrah's Special Events Center, 2nd Floor Near-Optimal Entrywise Sampling for Data Matrices Harrah's Special Events Center, 2nd Floor Neural representation of action sequences: how far can a simple snippet-matching model take us? Harrah's Special Events Center, 2nd Floor Noise-Enhanced Associative Memories Harrah's Special Events Center, 2nd Floor Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty Harrah's Special Events Center, 2nd Floor Nonparametric Multi-group Membership Model for Dynamic Networks Harrah's Special Events Center, 2nd Floor On Decomposing the Proximal Map Harrah's Special Events Center, 2nd Floor On the Complexity and Approximation of Binary Evidence in Lifted Inference Harrah's Special Events Center, 2nd Floor On the Expressive Power of Restricted Boltzmann Machines Harrah's Special Events Center, 2nd Floor Optimistic Concurrency Control for Distributed Unsupervised Learning Harrah's Special Events Center, 2nd Floor Perfect Associative Learning with Spike-Timing-Dependent Plasticity Harrah's Special Events Center, 2nd Floor Phase Retrieval using Alternating Minimization Harrah's Special Events Center, 2nd Floor Predicting Parameters in Deep Learning Harrah's Special Events Center, 2nd Floor Provable Subspace Clustering: When LRR meets SSC Harrah's Special Events Center, 2nd Floor Real-Time Inference for a Gamma Process Model of Neural Spiking Harrah's Special Events Center, 2nd Floor Reasoning With Neural Tensor Networks for Knowledge Base Completion Harrah's Special Events Center, 2nd Floor Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively Harrah's Special Events Center, 2nd Floor Reconciling 'priors'' & 'priors' without prejudice? Harrah's Special Events Center, 2nd Floor Recurrent linear models of simultaneously-recorded neural populations Harrah's Special Events Center, 2nd Floor Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems Harrah's Special Events Center, 2nd Floor Regret based Robust Solutions for Uncertain Markov Decision Processes Harrah's Special Events Center, 2nd Floor Restricting exchangeable nonparametric distributions Harrah's Special Events Center, 2nd Floor RNADE: The real-valued neural autoregressive density-estimator Harrah's Special Events Center, 2nd Floor Robust Image Denoising with Multi-Column Deep Neural Networks Harrah's Special Events Center, 2nd Floor Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model Harrah's Special Events Center, 2nd Floor Scalable Influence Estimation in Continuous-Time Diffusion Networks Harrah's Special Events Center, 2nd Floor Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors Harrah's Special Events Center, 2nd Floor Stochastic blockmodel approximation of a graphon: Theory and consistent estimation Harrah's Special Events Center, 2nd Floor Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex Harrah's Special Events Center, 2nd Floor Stochastic Optimization of PCA with Capped MSG Harrah's Special Events Center, 2nd Floor Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs Harrah's Special Events Center, 2nd Floor Structured Learning via Logistic Regression Harrah's Special Events Center, 2nd Floor Top-Down Regularization of Deep Belief Networks Harrah's Special Events Center, 2nd Floor Translating Embeddings for Modeling Multi-relational Data Harrah's Special Events Center, 2nd Floor Transportability from Multiple Environments with Limited Experiments Harrah's Special Events Center, 2nd Floor Understanding Dropout Harrah's Special Events Center, 2nd Floor Universal models for binary spike patterns using centered Dirichlet processes Harrah's Special Events Center, 2nd Floor Unsupervised Spectral Learning of Finite State Transducers Harrah's Special Events Center, 2nd Floor Variance Reduction for Stochastic Gradient Optimization Harrah's Special Events Center, 2nd Floor Variational Planning for Graph-based MDPs Harrah's Special Events Center, 2nd Floor Wavelets on Graphs via Deep Learning Harrah's Special Events Center, 2nd Floor Zero-Shot Learning Through Cross-Modal Transfer Harrah's Special Events Center, 2nd Floor
 
Saturday, December 7
 

7:30am

9:00am

9:50am

10:10am

10:14am

10:18am

10:22am

10:26am

10:30am

11:00am

11:20am

11:40am

11:44am

11:48am

11:52am

11:56am

12:00pm

2:00pm

2:50pm

3:10pm

3:30pm

3:34pm

3:38pm

3:42pm

3:46pm

3:50pm

4:20pm

4:40pm

5:00pm

5:20pm

5:40pm

5:44pm

5:48pm

5:52pm

5:56pm

7:00pm

Cross-Lingual Technologies: Text to Logic Mapping, Search and Classification over 100 Languages Tahoe B, Harrah’s Special Events Center 2nd Floor Deep Content-Based Music Recommendation Tahoe A, Harrah’s Special Events Center 2nd Floor Demos of Deep Learning Technologies at Baidu IDL Tahoe C Distributed Representations of Words and Phrases and their Compositionality Tahoe A+B, Harrah’s Special Events Center 2nd Floor Easy Text Classification with Machine Learning Tahoe B, Harrah’s Special Events Center 2nd Floor Making Smooth Topical Connections on Touch Devices Tahoe A+B, Harrah’s Special Events Center 2nd Floor Topic Modeling for Robots Tahoe A, Harrah’s Special Events Center 2nd Floor A Comparative Framework for Preconditioned Lasso Algorithms Harrah's Special Events Center, 2nd Floor A Kernel Test for Three-Variable Interactions Harrah's Special Events Center, 2nd Floor A Latent Source Model for Nonparametric Time Series Classification Harrah's Special Events Center, 2nd Floor Adaptive Market Making via Online Learning Harrah's Special Events Center, 2nd Floor Adaptivity to Local Smoothness and Dimension in Kernel Regression Harrah's Special Events Center, 2nd Floor Approximate Inference in Continuous Determinantal Processes Harrah's Special Events Center, 2nd Floor B-test: A Non-parametric, Low Variance Kernel Two-sample Test Harrah's Special Events Center, 2nd Floor Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC Harrah's Special Events Center, 2nd Floor Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits Harrah's Special Events Center, 2nd Floor Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search Harrah's Special Events Center, 2nd Floor Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses Harrah's Special Events Center, 2nd Floor Density estimation from unweighted k-nearest neighbor graphs: a roadmap Harrah's Special Events Center, 2nd Floor Designed Measurements for Vector Count Data Harrah's Special Events Center, 2nd Floor Dirty Statistical Models Harrah's Special Events Center, 2nd Floor Distributed k-means and k-median clustering on general communication topologies Harrah's Special Events Center, 2nd Floor Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture Harrah's Special Events Center, 2nd Floor Efficient Optimization for Sparse Gaussian Process Regression Harrah's Special Events Center, 2nd Floor Eluder Dimension and the Sample Complexity of Optimistic Exploration Harrah's Special Events Center, 2nd Floor Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion Harrah's Special Events Center, 2nd Floor Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA Harrah's Special Events Center, 2nd Floor Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis Harrah's Special Events Center, 2nd Floor Faster Ridge Regression via the Subsampled Randomized Hadamard Transform Harrah's Special Events Center, 2nd Floor From Bandits to Experts: A Tale of Domination and Independence Harrah's Special Events Center, 2nd Floor Gaussian Process Conditional Copulas with Applications to Financial Time Series Harrah's Special Events Center, 2nd Floor How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal Harrah's Special Events Center, 2nd Floor Information-theoretic lower bounds for distributed statistical estimation with communication constraints Harrah's Special Events Center, 2nd Floor Inverse Density as an Inverse Problem: the Fredholm Equation Approach Harrah's Special Events Center, 2nd Floor It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals Harrah's Special Events Center, 2nd Floor k-Prototype Learning for 3D Rigid Structures Harrah's Special Events Center, 2nd Floor Lasso Screening Rules via Dual Polytope Projection Harrah's Special Events Center, 2nd Floor Latent Maximum Margin Clustering Harrah's Special Events Center, 2nd Floor Learning Kernels Using Local Rademacher Complexity Harrah's Special Events Center, 2nd Floor Learning Multiple Models via Regularized Weighting Harrah's Special Events Center, 2nd Floor Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space Harrah's Special Events Center, 2nd Floor Linear decision rule as aspiration for simple decision heuristics Harrah's Special Events Center, 2nd Floor Locally Adaptive Bayesian Multivariate Time Series Harrah's Special Events Center, 2nd Floor Message Passing Inference with Chemical Reaction Networks Harrah's Special Events Center, 2nd Floor Moment-based Uniform Deviation Bounds for $k$-means and Friends Harrah's Special Events Center, 2nd Floor More data speeds up training time in learning halfspaces over sparse vectors Harrah's Special Events Center, 2nd Floor More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server Harrah's Special Events Center, 2nd Floor Multi-Task Bayesian Optimization Harrah's Special Events Center, 2nd Floor Multiclass Total Variation Clustering Harrah's Special Events Center, 2nd Floor Multilinear Dynamical Systems for Tensor Time Series Harrah's Special Events Center, 2nd Floor New Subsampling Algorithms for Fast Least Squares Regression Harrah's Special Events Center, 2nd Floor Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) Harrah's Special Events Center, 2nd Floor On Flat versus Hierarchical Classification in Large-Scale Taxonomies Harrah's Special Events Center, 2nd Floor On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation Harrah's Special Events Center, 2nd Floor One-shot learning and big data with n=2 Harrah's Special Events Center, 2nd Floor One-shot learning by inverting a compositional causal process Harrah's Special Events Center, 2nd Floor Online PCA for Contaminated Data Harrah's Special Events Center, 2nd Floor Online Robust PCA via Stochastic Optimization Harrah's Special Events Center, 2nd Floor Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking Harrah's Special Events Center, 2nd Floor Optimizing Instructional Policies Harrah's Special Events Center, 2nd Floor PAC-Bayes-Empirical-Bernstein Inequality Harrah's Special Events Center, 2nd Floor Predictive PAC Learning and Process Decompositions Harrah's Special Events Center, 2nd Floor Prior-free and prior-dependent regret bounds for Thompson Sampling Harrah's Special Events Center, 2nd Floor Probabilistic Principal Geodesic Analysis Harrah's Special Events Center, 2nd Floor q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions Harrah's Special Events Center, 2nd Floor Rapid Distance-Based Outlier Detection via Sampling Harrah's Special Events Center, 2nd Floor Regression-tree Tuning in a Streaming Setting Harrah's Special Events Center, 2nd Floor Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima Harrah's Special Events Center, 2nd Floor Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel Harrah's Special Events Center, 2nd Floor Robust Bloom Filters for Large MultiLabel Classification Tasks Harrah's Special Events Center, 2nd Floor Robust Data-Driven Dynamic Programming Harrah's Special Events Center, 2nd Floor Robust Low Rank Kernel Embeddings of Multivariate Distributions Harrah's Special Events Center, 2nd Floor Robust Transfer Principal Component Analysis with Rank Constraints Harrah's Special Events Center, 2nd Floor Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? Harrah's Special Events Center, 2nd Floor Sequential Transfer in Multi-armed Bandit with Finite Set of Models Harrah's Special Events Center, 2nd Floor Sign Cauchy Projections and Chi-Square Kernel Harrah's Special Events Center, 2nd Floor Sketching Structured Matrices for Faster Nonlinear Regression Harrah's Special Events Center, 2nd Floor Small-Variance Asymptotics for Hidden Markov Models Harrah's Special Events Center, 2nd Floor Solving inverse problem of Markov chain with partial observations Harrah's Special Events Center, 2nd Floor Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis Harrah's Special Events Center, 2nd Floor Spike train entropy-rate estimation using hierarchical Dirichlet process priors Harrah's Special Events Center, 2nd Floor Statistical Active Learning Algorithms Harrah's Special Events Center, 2nd Floor Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. Harrah's Special Events Center, 2nd Floor Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization Harrah's Special Events Center, 2nd Floor Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints Harrah's Special Events Center, 2nd Floor Summary Statistics for Partitionings and Feature Allocations Harrah's Special Events Center, 2nd Floor Synthesizing Robust Plans under Incomplete Domain Models Harrah's Special Events Center, 2nd Floor The Fast Convergence of Incremental PCA Harrah's Special Events Center, 2nd Floor The Randomized Dependence Coefficient Harrah's Special Events Center, 2nd Floor The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited Harrah's Special Events Center, 2nd Floor Thompson Sampling for 1-Dimensional Exponential Family Bandits Harrah's Special Events Center, 2nd Floor Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent Harrah's Special Events Center, 2nd Floor Two-Target Algorithms for Infinite-Armed Bandits with Bernoulli Rewards Harrah's Special Events Center, 2nd Floor Unsupervised Structure Learning of Stochastic And-Or Grammars Harrah's Special Events Center, 2nd Floor Using multiple samples to learn mixture models Harrah's Special Events Center, 2nd Floor Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression Harrah's Special Events Center, 2nd Floor What do row and column marginals reveal about your dataset? Harrah's Special Events Center, 2nd Floor Which Space Partitioning Tree to Use for Search? Harrah's Special Events Center, 2nd Floor
 
Sunday, December 8
 

7:30am

9:00am

9:50am

10:10am

10:14am

10:18am

10:22am

10:26am

10:30am

10:50am

11:40am

12:00pm

12:04pm

12:08pm

12:12pm

12:16pm

12:20pm

12:30pm

2:00pm

(More) Efficient Reinforcement Learning via Posterior Sampling Harrah's Special Events Center, 2nd Floor A multi-agent control framework for co-adaptation in brain-computer interfaces Harrah's Special Events Center, 2nd Floor A Novel Two-Step Method for Cross Language Representation Learning Harrah's Special Events Center, 2nd Floor A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables Harrah's Special Events Center, 2nd Floor Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths Harrah's Special Events Center, 2nd Floor Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization Harrah's Special Events Center, 2nd Floor Actor-Critic Algorithms for Risk-Sensitive MDPs Harrah's Special Events Center, 2nd Floor Adaptive Step-Size for Policy Gradient Methods Harrah's Special Events Center, 2nd Floor Analyzing the Harmonic Structure in Graph-Based Learning Harrah's Special Events Center, 2nd Floor Approximate Dynamic Programming Finally Performs Well in the Game of Tetris Harrah's Special Events Center, 2nd Floor Bellman Error Based Feature Generation using Random Projections on Sparse Spaces Harrah's Special Events Center, 2nd Floor Beyond Pairwise: Provably Fast Algorithms for Approximate $k$-Way Similarity Search Harrah's Special Events Center, 2nd Floor BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables Harrah's Special Events Center, 2nd Floor Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent Harrah's Special Events Center, 2nd Floor Conditional Random Fields via Univariate Exponential Families Harrah's Special Events Center, 2nd Floor Context-sensitive active sensing in humans Harrah's Special Events Center, 2nd Floor Convergence of Monte Carlo Tree Search in Simultaneous Move Games Harrah's Special Events Center, 2nd Floor Decision Jungles: Compact and Rich Models for Classification Harrah's Special Events Center, 2nd Floor Deep Fisher Networks for Large-Scale Image Classification Harrah's Special Events Center, 2nd Floor Deep Neural Networks for Object Detection Harrah's Special Events Center, 2nd Floor DESPOT: Online POMDP Planning with Regularization Harrah's Special Events Center, 2nd Floor DeViSE: A Deep Visual-Semantic Embedding Model Harrah's Special Events Center, 2nd Floor Dimension-Free Exponentiated Gradient Harrah's Special Events Center, 2nd Floor Direct 0-1 Loss Minimization and Margin Maximization with Boosting Harrah's Special Events Center, 2nd Floor Distributed Exploration in Multi-Armed Bandits Harrah's Special Events Center, 2nd Floor Documents as multiple overlapping windows into grids of counts Harrah's Special Events Center, 2nd Floor Estimating the Unseen: Improved Estimators for Entropy and other Properties Harrah's Special Events Center, 2nd Floor Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising Harrah's Special Events Center, 2nd Floor Extracting regions of interest from biological images with convolutional sparse block coding Harrah's Special Events Center, 2nd Floor Factorized Asymptotic Bayesian Inference for Latent Feature Models Harrah's Special Events Center, 2nd Floor Fast Template Evaluation with Vector Quantization Harrah's Special Events Center, 2nd Floor First-order Decomposition Trees Harrah's Special Events Center, 2nd Floor Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting Harrah's Special Events Center, 2nd Floor Generalizing Analytic Shrinkage for Arbitrary Covariance Structures Harrah's Special Events Center, 2nd Floor Geometric optimisation on positive definite matrices for elliptically contoured distributions Harrah's Special Events Center, 2nd Floor Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation Harrah's Special Events Center, 2nd Floor Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms Harrah's Special Events Center, 2nd Floor High-Dimensional Gaussian Process Bandits Harrah's Special Events Center, 2nd Floor Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation Harrah's Special Events Center, 2nd Floor Learning a Deep Compact Image Representation for Visual Tracking Harrah's Special Events Center, 2nd Floor Learning Adaptive Value of Information for Structured Prediction Harrah's Special Events Center, 2nd Floor Learning Feature Selection Dependencies in Multi-task Learning Harrah's Special Events Center, 2nd Floor Learning from Limited Demonstrations Harrah's Special Events Center, 2nd Floor Learning Gaussian Graphical Models with Observed or Latent FVSs Harrah's Special Events Center, 2nd Floor Learning invariant representations and applications to face verification Harrah's Special Events Center, 2nd Floor Learning the Local Statistics of Optical Flow Harrah's Special Events Center, 2nd Floor Learning Trajectory Preferences for Manipulators via Iterative Improvement Harrah's Special Events Center, 2nd Floor Learning word embeddings efficiently with noise-contrastive estimation Harrah's Special Events Center, 2nd Floor Lexical and Hierarchical Topic Regression Harrah's Special Events Center, 2nd Floor Mapping paradigm ontologies to and from the brain Harrah's Special Events Center, 2nd Floor Mid-level Visual Element Discovery as Discriminative Mode Seeking Harrah's Special Events Center, 2nd Floor Minimax Optimal Algorithms for Unconstrained Linear Optimization Harrah's Special Events Center, 2nd Floor Modeling Clutter Perception using Parametric Proto-object Partitioning Harrah's Special Events Center, 2nd Floor Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic Harrah's Special Events Center, 2nd Floor Non-Linear Domain Adaptation with Boosting Harrah's Special Events Center, 2nd Floor On Algorithms for Sparse Multi-factor NMF Harrah's Special Events Center, 2nd Floor On model selection consistency of penalized M-estimators: a geometric theory Harrah's Special Events Center, 2nd Floor On Poisson Graphical Models Harrah's Special Events Center, 2nd Floor Online Learning with Costly Features and Labels Harrah's Special Events Center, 2nd Floor Online Learning with Switching Costs and Other Adaptive Adversaries Harrah's Special Events Center, 2nd Floor Optimal integration of visual speed across different spatiotemporal frequency channels Harrah's Special Events Center, 2nd Floor Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result Harrah's Special Events Center, 2nd Floor Optimization, Learning, and Games with Predictable Sequences Harrah's Special Events Center, 2nd Floor Parallel Sampling of DP Mixture Models using Sub-Cluster Splits Harrah's Special Events Center, 2nd Floor Parametric Task Learning Harrah's Special Events Center, 2nd Floor Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs Harrah's Special Events Center, 2nd Floor Policy Shaping: Integrating Human Feedback with Reinforcement Learning Harrah's Special Events Center, 2nd Floor Probabilistic Movement Primitives Harrah's Special Events Center, 2nd Floor Projected Natural Actor-Critic Harrah's Special Events Center, 2nd Floor Reinforcement Learning in Robust Markov Decision Processes Harrah's Special Events Center, 2nd Floor Reservoir Boosting : Between Online and Offline Ensemble Learning Harrah's Special Events Center, 2nd Floor Reshaping Visual Datasets for Domain Adaptation Harrah's Special Events Center, 2nd Floor Reward Mapping for Transfer in Long-Lived Agents Harrah's Special Events Center, 2nd Floor Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching Harrah's Special Events Center, 2nd Floor Robust Spatial Filtering with Beta Divergence Harrah's Special Events Center, 2nd Floor Scalable kernels for graphs with continuous attributes Harrah's Special Events Center, 2nd Floor Sinkhorn Distances: Lightspeed Computation of Optimal Transport Harrah's Special Events Center, 2nd Floor Sparse Additive Text Models with Low Rank Background Harrah's Special Events Center, 2nd Floor Sparse Inverse Covariance Estimation with Calibration Harrah's Special Events Center, 2nd Floor Speeding up Permutation Testing in Neuroimaging Harrah's Special Events Center, 2nd Floor Symbolic Opportunistic Policy Iteration for Factored-Action MDPs Harrah's Special Events Center, 2nd Floor The Pareto Regret Frontier Harrah's Special Events Center, 2nd Floor Third-Order Edge Statistics: Contour Continuation, Curvature, and Cortical Connections Harrah's Special Events Center, 2nd Floor Tracking Time-varying Graphical Structure Harrah's Special Events Center, 2nd Floor Training and Analysing Deep Recurrent Neural Networks Harrah's Special Events Center, 2nd Floor Transfer Learning in a Transductive Setting Harrah's Special Events Center, 2nd Floor Understanding variable importances in forests of randomized trees Harrah's Special Events Center, 2nd Floor Variational Policy Search via Trajectory Optimization Harrah's Special Events Center, 2nd Floor Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies Harrah's Special Events Center, 2nd Floor What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach Harrah's Special Events Center, 2nd Floor
 
Monday, December 9
 

6:30am

7:00am

7:30am

9:00am

10:30am

3:30pm

5:00pm

 
Tuesday, December 10
 

6:30am

7:30am

9:00am

10:30am

3:30pm

5:00pm

7:00pm