Regression

Kermut: Composite kernel regression for protein variant effects NeurIPS 2024 Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NeurIPS 2024 Knowledge-aware Attention Network for Medication Effectiveness Prediction COLING 2024 KoFREN: Comprehensive Korean Word Frequency Norms Derived from Large Scale Free Speech Corpora COLING 2024 KVQ: Kwai Video Quality Assessment for Short-form Videos CVPR 2024 Label Noise Robustness of Conformal Prediction JMLR 2024 Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning ICML 2024 Large Scale Mapping of Indoor Magnetic Field by Local and Sparse Gaussian Processes CoRL 2024 Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps COLT 2024 LeadEmpathy: An Expert Annotated German Dataset of Empathy in Written Leadership Communication COLING 2024 Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NeurIPS 2024 Learning-Based Spotlight Position Optimization for Non-Line-of-Sight Human Localization and Posture Classification WACV 2024 Learning Better Keypoints for Multi-Object 6DoF Pose Estimation WACV 2024 Learning Decision Policies with Instrumental Variables through Double Machine Learning ICML 2024 Learning Diffusions under Uncertainty AAAI 2024 Learning Elastic Costs to Shape Monge Displacements NeurIPS 2024 Learning from many trajectories JMLR 2024 Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting AAAI 2024 Learning from Uncertain Data: From Possible Worlds to Possible Models NeurIPS 2024 Learning GAI-Decomposable Utility Models for Multiattribute Decision Making AAAI 2024 Learning Generalized Linear Programming Value Functions NeurIPS 2024 Learning “look-ahead” nonlocal traffic dynamics in a ring road L4DC 2024 Learning Macroscopic Dynamics from Partial Microscopic Observations NeurIPS 2024 Learning Reasons for Product Returns on E-Commerce COLING 2024 Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation. ICLR 2024