polynomial regression

Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows AAAI 2026 Generalized Resubstitution for Regression Error Estimation JMLR 2026 Learning Hierarchical Polynomials of Multiple Nonlinear Features ICLR 2025 Improved Active Learning via Dependent Leverage Score Sampling ICLR 2024 TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization AAAI 2024 Tolerant Algorithms for Learning with Arbitrary Covariate Shift NeurIPS 2024 Agnostic PAC Learning of k-juntas Using L_2-Polynomial Regression AISTATS 2023 Improving Automated Prediction of English Lexical Blends Through the Use of Observable Linguistic Features ACL 2023 Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features AAAI 2022 Steering vector correction in MVDR beamformer for speech enhancement Interspeech 2022 Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework ICML 2021 Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression JMLR 2021 The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals in the SQ Model COLT 2021 Learning Polynomials in Few Relevant Dimensions COLT 2020 Active Regression via Linear-Sample Sparsification COLT 2019 NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks ACML 2017 A PTAS for Agnostically Learning Halfspaces COLT 2015 Optimum Statistical Estimation with Strategic Data Sources COLT 2015 Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression NeurIPS 2010