Regression

Bayesian Intermittent Demand Forecasting for Large Inventories NeurIPS 2016 Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models JMLR 2016 Blind Non-Intrusive Speech Intelligibility Prediction Using Twin-HMMs Interspeech 2016 Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering NeurIPS 2016 Causal Speech Enhancement Combining Data-Driven Learning and Suppression Rule Estimation Interspeech 2016 Chained Gaussian Processes AISTATS 2016 Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation JMLR 2016 Combining Heterogeneous User Generated Data to Sense Well-being COLING 2016 Comparing Different Methods for Analyzing ERP Signals Interspeech 2016 Complexity in Prosody: A Nonlinear Dynamical Systems Approach for Dyadic Conversations; Behavior and Outcomes in Couples Therapy Interspeech 2016 Compressed Gaussian Process for Manifold Regression JMLR 2016 Content-based Influence Modeling for Opinion Behavior Prediction COLING 2016 Convex Regression with Interpretable Sharp Partitions JMLR 2016 Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity CVPR 2016 Coresets for Scalable Bayesian Logistic Regression NeurIPS 2016 Correcting Forecasts with Multifactor Neural Attention ICML 2016 Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions AISTATS 2016 Data-driven Rank Breaking for Efficient Rank Aggregation JMLR 2016 DECOrrelated feature space partitioning for distributed sparse regression NeurIPS 2016 Deep Gaussian Processes for Regression using Approximate Expectation Propagation ICML 2016 Deep Kernel Learning AISTATS 2016 Deep Neural Network Based Acoustic-to-Articulatory Inversion Using Phone Sequence Information Interspeech 2016 Detection, Disambiguation and Argument Identification of Discourse Connectives in Chinese Discourse Parsing COLING 2016 Distributed Multi-Task Learning AISTATS 2016 Doubly Decomposing Nonparametric Tensor Regression ICML 2016