Regression

Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective AAAI 2019 Execution-Guided Neural Program Synthesis ICLR 2019 Exploring interpretable LSTM neural networks over multi-variable data ICML 2019 Face Alignment With Kernel Density Deep Neural Network ICCV 2019 Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery NeurIPS 2019 Fair Regression: Quantitative Definitions and Reduction-Based Algorithms ICML 2019 Fast Algorithms for Sparse Reduced-Rank Regression AISTATS 2019 Fast and Accurate Least-Mean-Squares Solvers NeurIPS 2019 Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models ICML 2019 Fast Automatic Smoothing for Generalized Additive Models JMLR 2019 Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression NeurIPS 2019 Fast Sparse Group Lasso NeurIPS 2019 Few-Shot Representation Learning for Out-Of-Vocabulary Words ACL 2019 FireCast: Leveraging Deep Learning to Predict Wildfire Spread IJCAI 2019 First order expansion of convex regularized estimators NeurIPS 2019 FLARe: Forecasting by Learning Anticipated Representations MLHC 2019 Forecasting Intra-Hour Imbalances in Electric Power Systems AAAI 2019 FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image CVPR 2019 Gaussian Processes with Linear Operator Inequality Constraints JMLR 2019 Gaussian Regression with Convex Constraints AISTATS 2019 Generalized Linear Rule Models ICML 2019 Geolocation with Attention-Based Multitask Learning Models EMNLP 2019 Geometric Losses for Distributional Learning ICML 2019 Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension ACML 2019 Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression COLT 2019