kernel regression

Detecting Unobserved Confounders: A Kernelized Regression Approach AAAI 2026 Nonparametric generative modeling for time series via Schrödinger bridge JMLR 2026 On the Role of Transformer Feed-Forward Layers in Nonlinear In-Context Learning ALT 2026 Optimal Learning Rate Schedules under Functional Scaling Laws: Power Decay and Warmup–Stable–Decay (Extended Abstract) COLT 2026 AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings ICML 2025 Differential Privacy Mechanisms in Neural Tangent Kernel Regression WACV 2025 Infinite Width Limits of Self Supervised Neural Networks AISTATS 2025 Learning Curves of Stochastic Gradient Descent in Kernel Regression ICML 2025 Learning with Exact Invariances in Polynomial Time ICML 2025 LETS Forecast: Learning Embedology for Time Series Forecasting ICML 2025 Physics-informed Kernel Learning JMLR 2025 Reassessing How to Compare and Improve the Calibration of Machine Learning Models ICLR 2025 Tighter Confidence Bounds for Sequential Kernel Regression AISTATS 2025 A generalized neural tangent kernel for surrogate gradient learning NeurIPS 2024 A Kernel Perspective on Distillation-based Collaborative Learning NeurIPS 2024 An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network ICML 2024 Distributionally Robust Data Valuation ICML 2024 Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes AAAI 2024 Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024 Generalization in Kernel Regression Under Realistic Assumptions ICML 2024 GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes NeurIPS 2024 Improving Adaptivity via Over-Parameterization in Sequence Models NeurIPS 2024 One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts ICML 2024 On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory NeurIPS 2024 Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression EMNLP 2024