Regression

Recent Advances in Predictive Modeling with Electronic Health Records IJCAI 2024 Recovery Guarantees for Distributed-OMP AISTATS 2024 RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks NeurIPS 2024 Regression Aware Inference with LLMs EMNLP 2024 Regression Learning with Limited Observations of Multivariate Outcomes and Features ICML 2024 Regression under demographic parity constraints via unlabeled post-processing NeurIPS 2024 Regression with Multi-Expert Deferral ICML 2024 Regressor-Segmenter Mutual Prompt Learning for Crowd Counting CVPR 2024 Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise ICML 2024 Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization NeurIPS 2024 Restless bandits with rewards generated by a linear Gaussian dynamical system L4DC 2024 Retrieval & Fine-Tuning for In-Context Tabular Models NeurIPS 2024 Revisiting Differentially Private ReLU Regression NeurIPS 2024 Robust and Conjugate Gaussian Process Regression ICML 2024 Robust Gaussian Processes via Relevance Pursuit NeurIPS 2024 Robust group and simultaneous inferences for high-dimensional single index model NeurIPS 2024 Robust Losses for Decision-Focused Learning IJCAI 2024 Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators AISTATS 2024 Robust Nonparametric Regression under Poisoning Attack AAAI 2024 Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination ICML 2024 Robust Sparse Regression with Non-Isotropic Designs NeurIPS 2024 RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies ICLR 2024 Sample Selection via Contrastive Fragmentation for Noisy Label Regression NeurIPS 2024 Sampling-based Multi-dimensional Recalibration ICML 2024 SAND: Smooth imputation of sparse and noisy functional data with Transformer networks NeurIPS 2024