kernel methods

The Nyström method for convex loss functions JMLR 2024 The Role of Over-Parameterization in Machine Learning – the Good, the Bad, the Ugly AAAI 2024 Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens NeurIPS 2024 Uncertainty Estimation with Recursive Feature Machines UAI 2024 Adaptation to Misspecified Kernel Regularity in Kernelised Bandits AISTATS 2023 A General Representation Learning Framework with Generalization Performance Guarantees ICML 2023 A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening ICML 2023 A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing COLT 2023 A Kernelized Stein Discrepancy for Biological Sequences ICML 2023 Analyzing Generalization of Neural Networks through Loss Path Kernels NeurIPS 2023 An Efficient Doubly-Robust Test for the Kernel Treatment Effect NeurIPS 2023 A Statistical Perspective on Retrieval-Based Models ICML 2023 A theory of representation learning gives a deep generalisation of kernel methods ICML 2023 Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time NeurIPS 2023 Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning NeurIPS 2023 Calibration by Distribution Matching: Trainable Kernel Calibration Metrics NeurIPS 2023 Can Infinitely Wide Deep Nets Help Small-data Multi-label Learning? ACML 2023 Consistency of Multiple Kernel Clustering ICML 2023 Convolutional Networks with Oriented 1D Kernels ICCV 2023 CosNet: A Generalized Spectral Kernel Network NeurIPS 2023 Deep learning with kernels through RKHM and the Perron-Frobenius operator NeurIPS 2023 Delayed Feedback in Kernel Bandits ICML 2023 Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning ICML 2023 Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks NeurIPS 2023 Efficient fair PCA for fair representation learning AISTATS 2023