Regression

Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring ACL 2023 ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design NeurIPS 2023 Provably Auditing Ordinary Least Squares in Low Dimensions ICLR 2023 PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios NeurIPS 2023 QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules NeurIPS 2023 Quantifying the Cost of Learning in Queueing Systems NeurIPS 2023 Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves AISTATS 2023 Rank-Based Causal Discovery for Post-Nonlinear Models AISTATS 2023 Rank-N-Contrast: Learning Continuous Representations for Regression NeurIPS 2023 Realistic Citation Count Prediction Task for Newly Published Papers EACL 2023 Regression as Classification: Influence of Task Formulation on Neural Network Features AISTATS 2023 Regression with Cost-based Rejection NeurIPS 2023 Regression with Label Differential Privacy ICLR 2023 Regression with Label Permutation in Generalized Linear Model ICML 2023 Regression with Sensor Data Containing Incomplete Observations ICML 2023 Regularization properties of adversarially-trained linear regression NeurIPS 2023 Regularized Joint Mixture Models JMLR 2023 Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild CVPR 2023 Representer Point Selection for Explaining Regularized High-dimensional Models ICML 2023 Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis NeurIPS 2023 ResMem: Learn what you can and memorize the rest NeurIPS 2023 Rethinking Gauss-Newton for learning over-parameterized models NeurIPS 2023 Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation CVPR 2023 Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge ICML 2023 Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images MIDL 2023