Regression

Parkinson’s Disease Progression Assessment from Speech Using GMM-UBM Interspeech 2016 Phoneme, Phone Boundary, and Tone in Automatic Scoring of Mandarin Proficiency Interspeech 2016 Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms ICML 2016 Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates AISTATS 2016 Predictability of Distributional Semantics in Derivational Word Formation COLING 2016 Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data MLHC 2016 Predicting Pronunciations with Syllabification and Stress with Recurrent Neural Networks Interspeech 2016 Predicting Restaurant Consumption Level through Social Media Footprints COLING 2016 Primal-Dual Rates and Certificates ICML 2016 Principal Component Projection Without Principal Component Analysis ICML 2016 Probabilistic Approximate Least-Squares AISTATS 2016 Provable Tensor Methods for Learning Mixtures of Generalized Linear Models AISTATS 2016 PSyCo: Manifold Span Reduction for Super Resolution CVPR 2016 Quality Estimation for Language Output Applications COLING 2016 Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network CVPR 2016 Regression Methods Applied to Flight Variables for Situational Awareness Estimation Using Dynamic Bayesian Networks PGM 2016 Relation of Automatically Extracted Formant Trajectories with Intelligibility Loss and Speaking Rate Decline in Amyotrophic Lateral Sclerosis Interspeech 2016 RLScore: Regularized Least-Squares Learners JMLR 2016 Robust Covariate Shift Regression AISTATS 2016 Scalable Structure Discovery in Regression using Gaussian Processes AutoML 2016 Scaled Least Squares Estimator for GLMs in Large-Scale Problems NeurIPS 2016 SDCA without Duality, Regularization, and Individual Convexity ICML 2016 Sequential Inference for Deep Gaussian Process AISTATS 2016 Seven Ways to Improve Example-Based Single Image Super Resolution CVPR 2016 Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling ICML 2016