Kernel Methods

Simplex Random Features ICML 2023 Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach ICML 2023 Subquadratic Algorithms for Kernel Matrices via Kernel Density Estimation ICLR 2023 Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models AAAI 2023 Tanimoto Random Features for Scalable Molecular Machine Learning NeurIPS 2023 Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data AISTATS 2023 The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time JMLR 2023 Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings NeurIPS 2023 Toward Large Kernel Models ICML 2023 Towards a Persistence Diagram that is Robust to Noise and Varied Densities ICML 2023 Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory ACML 2023 Adaptive Greedy Algorithm for Moderately Large Dimensions in Kernel Conditional Density Estimation JMLR 2022 Additive Gaussian Processes Revisited ICML 2022 Adversarially Robust Kernel Smoothing AISTATS 2022 A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs ICML 2022 An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings ICML 2022 A Perturbation-Based Kernel Approximation Framework JMLR 2022 Approximation and Learning with Deep Convolutional Models: a Kernel Perspective ICLR 2022 Change-point Detection for Sparse and Dense Functional Data in General Dimensions NeurIPS 2022 Chefs' Random Tables: Non-Trigonometric Random Features NeurIPS 2022 Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach ICLR 2022 Discriminative Similarity for Data Clustering ICLR 2022 Early Stopping for Iterative Regularization with General Loss Functions JMLR 2022 Efficient Aggregated Kernel Tests using Incomplete U-statistics NeurIPS 2022 Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression AISTATS 2022