Regression

Determinantal Point Processes for Coresets JMLR 2019 Development of Emotion Rankers Based on Intended and Perceived Emotion Labels Interspeech 2019 DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks ICCV 2019 Differentially Private Bayesian Linear Regression NeurIPS 2019 Differentially Private Iterative Gradient Hard Thresholding for Sparse Learning IJCAI 2019 Dimensionality Reduction for Tukey Regression ICML 2019 Direct F0 Estimation with Neural-Network-Based Regression Interspeech 2019 Disentangled Image Matting ICCV 2019 Distributionally Robust Optimization and Generalization in Kernel Methods NeurIPS 2019 Distribution calibration for regression ICML 2019 Does data interpolation contradict statistical optimality? AISTATS 2019 Doubly-Robust Lasso Bandit NeurIPS 2019 Dynamic Local Regret for Non-convex Online Forecasting NeurIPS 2019 DyS: A Framework for Mixture Models in Quantification AAAI 2019 E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation IJCAI 2019 Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features CVPR 2019 Efficient and Scalable Multi-Task Regression on Massive Number of Tasks AAAI 2019 Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds NeurIPS 2019 Efficient Inference in Multi-task Cox Process Models AISTATS 2019 Efficient online learning with kernels for adversarial large scale problems NeurIPS 2019 Efficient Symmetric Norm Regression via Linear Sketching NeurIPS 2019 Embarrassingly Parallel Inference for Gaussian Processes JMLR 2019 Enforcing Semantic Consistency for Cross Corpus Valence Regression from Speech Using Adversarial Discrepancy Learning Interspeech 2019 Ensemble-based Ultrahigh-dimensional Variable Screening IJCAI 2019 Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age AAAI 2019