Regression

Dimensionality Reduction and Wasserstein Stability for Kernel Regression JMLR 2023 Dimension Reduction and MARS JMLR 2023 DINN360: Deformable Invertible Neural Network for Latitude-Aware 360deg Image Rescaling CVPR 2023 (Dis)agreement and Preference Structure are Reflected in Matching Along Distinct Acoustic-prosodic Features Interspeech 2023 Disentangling the Contribution of Non-native Speech in Automated Pronunciation Assessment Interspeech 2023 Distance Weighted Supervised Learning for Offline Interaction Data ICML 2023 Distributed Algorithms for U-statistics-based Empirical Risk Minimization JMLR 2023 Distributed Nonparametric Regression Imputation for Missing Response Problems with Large-scale Data JMLR 2023 Distributed Sparse Regression via Penalization JMLR 2023 Distributional Offline Policy Evaluation with Predictive Error Guarantees ICML 2023 Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods NeurIPS 2023 Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions COLT 2023 DNN-based Parameter Estimation for MVDR Beamforming and Post-filtering Interspeech 2023 Domain Generalization via Heckman-type Selection Models ICLR 2023 DUTH at SemEval-2023 Task 9: An Ensemble Approach for Twitter Intimacy Analysis SemEval 2023 Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start” AAAI 2023 Easy Differentially Private Linear Regression ICLR 2023 EasyRec: An Easy-to-Use, Extendable and Efficient Framework for Building Industrial Recommendation Systems AAAI 2023 EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships MLHC 2023 Effective Bayesian Heteroscedastic Regression with Deep Neural Networks NeurIPS 2023 Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories ICML 2023 Efficient Learning of Linear Graph Neural Networks via Node Subsampling NeurIPS 2023 Efficient List-Decodable Regression using Batches ICML 2023 Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization NeurIPS 2023 eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms AAAI 2023