Toggle Poster Visibility
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
Combinatorial Pure Exploration of Multi-Armed Bandits
[
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
Feature Cross-Substitution in Adversarial Classification
[
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
Fast Prediction for Large-Scale Kernel Machines
[
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
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
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
Deep Convolutional Neural Network for Image Deconvolution
[
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
Testing Unfaithful Gaussian Graphical Models
[
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
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
Spectral Methods for Indian Buffet Process Inference
[
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
Spectral Clustering of graphs with the Bethe Hessian
[
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
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
Scaling-up Importance Sampling for Markov Logic Networks
[
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
Positive Curvature and Hamiltonian Monte Carlo
[
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
Robust Logistic Regression and Classification
[
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
Optimizing F-Measures by Cost-Sensitive Classification
[
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
Parallel Double Greedy Submodular Maximization
[
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 Graphical Models for Spatio-Temporal Processes
[
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
Multivariate f-divergence Estimation With Confidence
[
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
Multi-Scale Spectral Decomposition of Massive Graphs
[
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
Learning to Optimize via Information-Directed Sampling
[
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
Low-Rank Time-Frequency Synthesis
[
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
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
Large-Margin Convex Polytope Machine
[
PDF]
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
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
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
Exponential Concentration of a Density Functional Estimator
[
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
Estimation with Norm Regularization
[
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
Efficient Structured Matrix Rank Minimization
[
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
Do Deep Nets Really Need to be Deep?
[
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
Distance-Based Network Recovery under Feature Correlation
[
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
Deterministic Symmetric Positive Semidefinite Matrix Completion
[
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
Convex Deep Learning via Normalized Kernels
[
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
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
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
Best-Arm Identification in Linear Bandits
[
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
Bayesian Inference for Structured Spike and Slab Priors
[
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
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
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
Active Learning and Best-Response Dynamics
[
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
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
Analysis of Learning from Positive and Unlabeled Data
[
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
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
A Boosting Framework on Grounds of Online Learning
[
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
Unsupervised Transcription of Piano Music
[
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
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
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
Robust Classification Under Sample Selection Bias
[
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
Rates of Convergence for Nearest Neighbor Classification
[
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
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
Near-optimal Reinforcement Learning in Factored MDPs
[
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
Learning Mixtures of Ranking Models
[
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
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
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
Extended and Unscented Gaussian Processes
[
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
Difference of Convex Functions Programming for Reinforcement Learning
[
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
Sparse Polynomial Learning and Graph Sketching
[
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
Probabilistic ODE Solvers with Runge-Kutta Means
[
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
Asynchronous Anytime Sequential Monte Carlo
[
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
A Wild Bootstrap for Degenerate Kernel Tests
[
PDF]