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Regression

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Papers

More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization JMLR 2024
Nonparametric Regression for 3D Point Cloud Learning JMLR 2024
Distributed Estimation on Semi-Supervised Generalized Linear Model JMLR 2024
Semi-supervised Inference for Block-wise Missing Data without Imputation JMLR 2024
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm JMLR 2024
AMLB: an AutoML Benchmark JMLR 2024
Decorrelated Variable Importance JMLR 2024
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery AAAI 2024
HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting AAAI 2024
EPOQUE: An English-Persian Quality Estimation Dataset COLING 2024
Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design JMLR 2024
Post-Regularization Confidence Bands for Ordinary Differential Equations JMLR 2024
Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic JMLR 2024
On Tail Decay Rate Estimation of Loss Function Distributions JMLR 2024
Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024
Differentially private methods for managing model uncertainty in linear regression JMLR 2024
TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization AAAI 2024
Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport JMLR 2024
Glance To Count: Learning To Rank With Anchors for Weakly-Supervised Crowd Counting WACV 2024
Willkommens-Merkel, Chaos-Johnson, and Tore-Klose: Modeling the Evaluative Meaning of German Personal Name Compounds COLING 2024
Learning with a linear loss function: excess risk and estimation bounds for ERM, minmax MOM and their regularized versions with applications to robustness in sparse PCA. JMLR 2024
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NIPS 2024
Identifying Spatio-Temporal Drivers of Extreme Events NIPS 2024
Scalable Early Childhood Reading Performance Prediction NIPS 2024
Linear Regression With Unmatched Data: A Deconvolution Perspective JMLR 2024