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Regression

4,964 papers

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Papers

Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data JMLR 2023
Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing JMLR 2023
Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance JMLR 2023
Distributed Algorithms for U-statistics-based Empirical Risk Minimization JMLR 2023
On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators JMLR 2023
Distributed Sparse Regression via Penalization JMLR 2023
Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net JMLR 2023
Low Tree-Rank Bayesian Vector Autoregression Models JMLR 2023
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty JMLR 2023
High-Dimensional Inference for Generalized Linear Models with Hidden Confounding JMLR 2023
Fast Screening Rules for Optimal Design via Quadratic Lasso Reformulation JMLR 2023
Dimension Reduction and MARS JMLR 2023
Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression JMLR 2023
Mixed Regression via Approximate Message Passing JMLR 2023
Bagging in overparameterized learning: Risk characterization and risk monotonization JMLR 2023
Benign Overfitting of Constant-Stepsize SGD for Linear Regression JMLR 2023
Dimensionality Reduction and Wasserstein Stability for Kernel Regression JMLR 2023
Robust High-Dimensional Low-Rank Matrix Estimation: Optimal Rate and Data-Adaptive Tuning JMLR 2023
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023
Group SLOPE Penalized Low-Rank Tensor Regression JMLR 2023
Multilevel CNNs for Parametric PDEs JMLR 2023
Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning JMLR 2023
End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization L4DC 2023
Full Gradient Deep Reinforcement Learning for Average-Reward Criterion L4DC 2023
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning L4DC 2023