Regression

Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation CVPR 2022 Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process IJCAI 2022 Reverse-mode differentiation in arbitrary tensor network format: with application to supervised learning JMLR 2022 Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift ICLR 2022 Revisiting Statistical Laws of Semantic Shift in Romance Cognates COLING 2022 Ridgeless Regression with Random Features IJCAI 2022 RID-Noise: Towards Robust Inverse Design under Noisy Environments AAAI 2022 RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests ICML 2022 Robust Bayesian Regression via Hard Thresholding NeurIPS 2022 Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning ICML 2022 RUMs from Head-to-Head Contests ICML 2022 Safe Active Learning for Multi-Output Gaussian Processes AISTATS 2022 SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums AISTATS 2022 Scalable Bayesian Network Structure Learning with Splines PGM 2022 Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022 Scalable Interpretability via Polynomials NeurIPS 2022 Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels CVPR 2022 Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions NeurIPS 2022 Scalable Spike-and-Slab ICML 2022 ScaleNet: A Shallow Architecture for Scale Estimation CVPR 2022 Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments EMNLP 2022 ScePT: Scene-Consistent, Policy-Based Trajectory Predictions for Planning CVPR 2022 Selective Regression under Fairness Criteria ICML 2022 Semiparametric causal sufficient dimension reduction of multidimensional treatments UAI 2022 Semi-supervised Active Linear Regression NeurIPS 2022