Regression

Online Robust Regression via SGD on the l1 loss NeurIPS 2020 Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression IJCAI 2020 On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis AISTATS 2020 On ranking via sorting by estimated expected utility NeurIPS 2020 On Suboptimality of Least Squares with Application to Estimation of Convex Bodies COLT 2020 On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent JMLR 2020 On the Iteration Complexity of Hypergradient Computation ICML 2020 On the Optimal Weighted ℓ_2 Regularization in Overparameterized Linear Regression NeurIPS 2020 Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms JMLR 2020 Optimal Deterministic Coresets for Ridge Regression AISTATS 2020 Optimal Estimation of Sparse Topic Models JMLR 2020 Optimal Estimator for Unlabeled Linear Regression ICML 2020 Optimal Learning from Verified Training Data NeurIPS 2020 Optimal Randomized First-Order Methods for Least-Squares Problems ICML 2020 Optimistic Bounds for Multi-output Learning ICML 2020 Optimizing Data Usage via Differentiable Rewards ICML 2020 Optimizing Influenza Vaccine Composition: From Predictions to Prescriptions MLHC 2020 OrganITE: Optimal transplant donor organ offering using an individual treatment effect NeurIPS 2020 Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree NeurIPS 2020 Parametric Gaussian Process Regressors ICML 2020 Partial Trace Regression and Low-Rank Kraus Decomposition ICML 2020 PCMC-Net: Feature-based Pairwise Choice Markov Chains ICLR 2020 Perceptual Quality Assessment of Smartphone Photography CVPR 2020 Piecewise Linear Regression via a Difference of Convex Functions ICML 2020 Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning AAAI 2020