kernel methods

A Spectral Analysis of Dot-product Kernels AISTATS 2021 Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks AAAI 2021 A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels ICLR 2021 Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods ICLR 2021 Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization NeurIPS 2021 Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed ICML 2021 Collaborative Novelty Detection for Distributed Data by a Probabilistic Method ACML 2021 Conditional Bures Metric for Domain Adaptation CVPR 2021 Convex Geometry and Duality of Over-parameterized Neural Networks JMLR 2021 Deep Equals Shallow for ReLU Networks in Kernel Regimes ICLR 2021 De-randomizing MCMC dynamics with the diffusion Stein operator NeurIPS 2021 Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021 Distribution Regression for Sequential Data AISTATS 2021 Domain Generalization by Marginal Transfer Learning JMLR 2021 Effective Meta-Regularization by Kernelized Proximal Regularization NeurIPS 2021 Efficient Statistical Tests: A Neural Tangent Kernel Approach ICML 2021 ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare AAAI 2021 Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features AISTATS 2021 Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients AAAI 2021 Fast Kernelized Correlation Filter Without Boundary Effect WACV 2021 Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures AISTATS 2021 Framing RNN as a kernel method: A neural ODE approach NeurIPS 2021 Generalised Lipschitz Regularisation Equals Distributional Robustness ICML 2021 Geometric rates of convergence for kernel-based sampling algorithms UAI 2021 Geometric structure of graph Laplacian embeddings JMLR 2021