Optimization

Generalizing Steady State Suppression for Enhanced Intelligibility Under Reverberation Interspeech 2016 Generation and Pruning of Pronunciation Variants to Improve ASR Accuracy Interspeech 2016 Global Analysis of Expectation Maximization for Mixtures of Two Gaussians NeurIPS 2016 Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation AISTATS 2016 Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach CVPR 2016 Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods NeurIPS 2016 Global Optimality of Local Search for Low Rank Matrix Recovery NeurIPS 2016 gLOP: the global and Local Penalty for Capturing Predictive Heterogeneity MLHC 2016 GOGMA: Globally-Optimal Gaussian Mixture Alignment CVPR 2016 Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares NeurIPS 2016 Gradient Descent Only Converges to Minimizers COLT 2016 Gradient-Domain Image Reconstruction Framework With Intensity-Range and Base-Structure Constraints CVPR 2016 Gradients Weights improve Regression and Classification JMLR 2016 Greedy Feature Construction NeurIPS 2016 Heteroscedastic Sequences: Beyond Gaussianity ICML 2016 Hierarchical Decision Making In Electricity Grid Management ICML 2016 Higher-Order Factorization Machines NeurIPS 2016 Highly-Smooth Zero-th Order Online Optimization COLT 2016 High-Rank Matrix Completion and Clustering under Self-Expressive Models NeurIPS 2016 High resolution neural connectivity from incomplete tracing data using nonnegative spline regression NeurIPS 2016 Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than O(1/ε) NeurIPS 2016 How to Fake Multiply by a Gaussian Matrix ICML 2016 Hybrid Question Answering over Knowledge Base and Free Text COLING 2016 Hyperparameter optimization with approximate gradient ICML 2016 Importance Sampling Tree for Large-scale Empirical Expectation ICML 2016