Regression

Fast Nonlinear Vector Quantile Regression ICLR 2023 Fast Screening Rules for Optimal Design via Quadratic Lasso Reformulation JMLR 2023 Feature Adaptation for Sparse Linear Regression NeurIPS 2023 Federated Asymptotics: a model to compare federated learning algorithms AISTATS 2023 Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization CVPR 2023 Financial Numeric Extreme Labelling: A dataset and benchmarking ACL 2023 Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation NeurIPS 2023 Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron ICML 2023 FishNet: A Large-scale Dataset and Benchmark for Fish Recognition, Detection, and Functional Trait Prediction ICCV 2023 Flexible Model Aggregation for Quantile Regression JMLR 2023 Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose AAAI 2023 Frequentist Uncertainty Quantification in Semi-Structured Neural Networks AISTATS 2023 From Shapley Values to Generalized Additive Models and back AISTATS 2023 Full Gradient Deep Reinforcement Learning for Average-Reward Criterion L4DC 2023 Full Scaling Automation for Sustainable Development of Green Data Centers IJCAI 2023 Functional L-Optimality Subsampling for Functional Generalized Linear Models with Massive Data JMLR 2023 Fundamental limits and algorithms for sparse linear regression with sublinear sparsity JMLR 2023 FusedF0: Improving DNN-based F0 Estimation by Fusion of Summary-Correlograms and Raw Waveform Representations of Speech Signals Interspeech 2023 Gaussian Label Distribution Learning for Spherical Image Object Detection CVPR 2023 Gaussian Processes with Errors in Variables: Theory and Computation JMLR 2023 Gaussian Process Surrogate Models for Neural Networks UAI 2023 General Covariance Data Augmentation for Neural PDE Solvers ICML 2023 Generalized equivalences between subsampling and ridge regularization NeurIPS 2023 Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data JMLR 2023 Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy AISTATS 2023