Regression

Adaptive Lasso and group-Lasso for functional Poisson regression JMLR 2016 Additive Approximations in High Dimensional Nonparametric Regression via the SALSA ICML 2016 A Deep Learning Approach to Modeling Empathy in Addiction Counseling Interspeech 2016 A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models ICML 2016 Aggregation of supports along the Lasso path COLT 2016 A Hierarchical Predictor of Synthetic Speech Naturalness Using Neural Networks Interspeech 2016 A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning AISTATS 2016 Analysis of Face Mask Effect on Speaker Recognition Interspeech 2016 Analyzing the Relation Between Overall Quality and the Quality of Individual Phases in a Telephone Conversation Interspeech 2016 A New Algorithm and Theory for Penalized Regression-based Clustering JMLR 2016 An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators Interspeech 2016 A Nonlinear Regression Technique for Manifold Valued Data With Applications to Medical Image Analysis CVPR 2016 A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees JMLR 2016 A ranking approach to global optimization ICML 2016 A Redundancy-Aware Sentence Regression Framework for Extractive Summarization COLING 2016 Asymmetric Multi-task Learning Based on Task Relatedness and Loss ICML 2016 A Template-Based Approach for Speech Synthesis Intonation Generation Using LSTMs Interspeech 2016 Automatically Classifying Self-Rated Personality Scores from Speech Interspeech 2016 Automatic Assessment and Error Detection of Shadowing Speech: Case of English Spoken by Japanese Learners Interspeech 2016 Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series ICML 2016 Automatic Measurement of Voice Onset Time and Prevoicing Using Recurrent Neural Networks Interspeech 2016 A Voice Conversion Mapping Function Based on a Stacked Joint-Autoencoder Interspeech 2016 A Well-Conditioned and Sparse Estimation of Covariance and Inverse Covariance Matrices Using a Joint Penalty JMLR 2016 Back to the Future: Radial Basis Function Networks Revisited AISTATS 2016 Barron and Cover’s Theory in Supervised Learning and its Application to Lasso ICML 2016