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Regression

4964 directly classified papers

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Papers

The LLM Already Knows: Estimating LLM-Perceived Question Difficulty via Hidden Representations EMNLP 2025
Optimal Functional Bilinear Regression with Two-dimensional Functional Covariates via Reproducing Kernel Hilbert Space JMLR 2025
Substitute Adjustment via Recovery of Latent Variables JMLR 2025
Nonlinear functional regression by functional deep neural network with kernel embedding JMLR 2025
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks JMLR 2025
Gradient Equilibrium in Online Learning: Theory and Applications JMLR 2025
High-Dimensional L2-Boosting: Rate of Convergence JMLR 2025
Outlier Robust and Sparse Estimation of Linear Regression Coefficients JMLR 2025
Invariant Subspace Decomposition JMLR 2025
Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals JMLR 2025
Bayesian Data Sketching for Varying Coefficient Regression Models JMLR 2025
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos JMLR 2025
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers JMLR 2025
On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls JMLR 2025
Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection JMLR 2025
Decentralized Sparse Linear Regression via Gradient-Tracking JMLR 2025
Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions JMLR 2025
Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime JMLR 2025
Inferring Change Points in High-Dimensional Regression via Approximate Message Passing JMLR 2025
Online Quantile Regression JMLR 2025
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression AAAI 2025
Revisiting Attention for Multivariate Time Series Forecasting AAAI 2025
Multi-Subspace Matrix Recovery from Permuted Data AAAI 2025
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression AAAI 2025
Selective Inference with Distributed Data JMLR 2025