Mathematics & Optimization

Estimating Mutual Information in Under-Reported Variables PGM 2016 Estimating Sparse Signals With Smooth Support via Convex Programming and Block Sparsity CVPR 2016 Estimating the Size of a Large Network and its Communities from a Random Sample NeurIPS 2016 Estimation from Indirect Supervision with Linear Moments ICML 2016 Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling ICML 2016 Evidence Evaluation: a Study of Likelihoods and Independence PGM 2016 EVS Channel Aware Mode Robustness to Frame Erasures Interspeech 2016 Exact Exponent in Optimal Rates for Crowdsourcing ICML 2016 Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums JMLR 2016 Exact Recovery of Hard Thresholding Pursuit NeurIPS 2016 Exemplar Dynamics in Phonetic Convergence of Speech Rate Interspeech 2016 Experimental Design on a Budget for Sparse Linear Models and Applications ICML 2016 Experimental Validation of Sound Generated from Flow in Simplified Vocal Tract Model of Sibilant /s/ Interspeech 2016 Exploiting Spectral-Spatial Correlation for Coded Hyperspectral Image Restoration CVPR 2016 Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters NeurIPS 2016 Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models NeurIPS 2016 Exploration of the (Non-)Asymptotic Bias and Variance of Stochastic Gradient Langevin Dynamics JMLR 2016 Exploring the Hidden Dimension in Graph Processing OSDI 2016 Exponential expressivity in deep neural networks through transient chaos NeurIPS 2016 Extremal Mechanisms for Local Differential Privacy JMLR 2016 False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking ICML 2016 Fast Algorithms for Linear and Kernel SVM+ CVPR 2016 Fast Algorithms for Robust PCA via Gradient Descent NeurIPS 2016 Fast Algorithms for Segmented Regression ICML 2016 Fast and Provably Good Seedings for k-Means NeurIPS 2016