Regression

A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression JMLR 2024 A Functional Extension of Semi-Structured Networks NeurIPS 2024 Agnostic Active Learning of Single Index Models with Linear Sample Complexity COLT 2024 Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms ICML 2024 Agnostic Sample Compression Schemes for Regression ICML 2024 AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction ICLR 2024 AlexUNLP-STM at NADI 2024 shared task: Quantifying the Arabic Dialect Spectrum with Contrastive Learning, Weighted Sampling, and BERT-based Regression Ensemble ACL 2024 AMD: Autoregressive Motion Diffusion AAAI 2024 A minimax optimal approach to high-dimensional double sparse linear regression JMLR 2024 AMLB: an AutoML Benchmark JMLR 2024 Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting NeurIPS 2024 Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression UAI 2024 An Analysis of Linear Time Series Forecasting Models ICML 2024 An Effective Pronunciation Assessment Approach Leveraging Hierarchical Transformers and Pre-training Strategies ACL 2024 A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data ICML 2024 An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network ICML 2024 An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations AAAI 2024 An Inter-Speaker Fairness-Aware Speech Emotion Regression Framework Interspeech 2024 A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates AAAI 2024 ANT: Adaptive Noise Schedule for Time Series Diffusion Models NeurIPS 2024 A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness NeurIPS 2024 APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs NeurIPS 2024 Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient NeurIPS 2024 Approximate Leave-one-out Cross Validation for Regression with ℓ_1 Regularizers AISTATS 2024 A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints NeurIPS 2024