neural network regression

How Does the ReLU Activation Affect the Implicit Bias of Gradient Descent on High-dimensional Neural Network Regression? COLT 2026 Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence ICLR 2025 Distribution-Free Data Uncertainty for Neural Network Regression ICLR 2025 Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient NeurIPS 2024 Guiding GBFS through Learned Pairwise Rankings IJCAI 2024 Individual Text Corpora Predict Openness, Interests, Knowledge and Level of Education COLING 2024 Probabilistic Calibration by Design for Neural Network Regression AISTATS 2024 A Framework and Benchmark for Deep Batch Active Learning for Regression JMLR 2023 A Large-Scale Study of Probabilistic Calibration in Neural Network Regression ICML 2023 Solving Stabilize-Avoid via Epigraph Form Optimal Control using Deep Reinforcement Learning RSS 2023 HHP-Net: A Light Heteroscedastic Neural Network for Head Pose Estimation With Uncertainty WACV 2022 NOMU: Neural Optimization-based Model Uncertainty ICML 2022 EMLight: Lighting Estimation via Spherical Distribution Approximation AAAI 2021 SPDE-Net: Neural Network based prediction of stabilization parameter for SUPG technique ACML 2021 Statistical Estimation from Dependent Data ICML 2021 Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection IJCAI 2020 Significance Tests for Neural Networks JMLR 2020 Direct F0 Estimation with Neural-Network-Based Regression Interspeech 2019 Expressive Body Capture: 3D Hands, Face, and Body From a Single Image CVPR 2019