Regression

Collaboratively Learning Linear Models with Structured Missing Data NeurIPS 2023 Comparing and Predicting Eye-tracking Data of Mandarin and Cantonese EACL 2023 Comparing Hand-Crafted Features to Spectrograms for Autism Severity Estimation Interspeech 2023 Compressing multidimensional weather and climate data into neural networks ICLR 2023 Compression-Aware Video Super-Resolution CVPR 2023 Computing Abductive Explanations for Boosted Regression Trees IJCAI 2023 Computing Approximate ℓ_p Sensitivities NeurIPS 2023 Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data JMLR 2023 Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery IJCAI 2023 Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing JMLR 2023 Conformalization of Sparse Generalized Linear Models ICML 2023 Conformalized Unconditional Quantile Regression AISTATS 2023 Conformal Meta-learners for Predictive Inference of Individual Treatment Effects NeurIPS 2023 Conformal Prediction for Federated Uncertainty Quantification Under Label Shift ICML 2023 Conformal Prediction with Missing Values ICML 2023 Constrained Monotonic Neural Networks ICML 2023 ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion NeurIPS 2023 Continuous-time identification of dynamic state-space models by deep subspace encoding ICLR 2023 Controllable Neural Symbolic Regression ICML 2023 Controlled Differential Equations on Long Sequences via Non-standard Wavelets ICML 2023 Convergence Rates of a Class of Multivariate Density Estimation Methods Based on Adaptive Partitioning JMLR 2023 Convex Decomposition of Indoor Scenes ICCV 2023 Coordinate Descent for SLOPE AISTATS 2023 Correcting for selection bias and missing response in regression using privileged information UAI 2023 Corruption-Tolerant Algorithms for Generalized Linear Models AAAI 2023