kernel methods

Statistical Optimality and Computational Efficiency of Nystrom Kernel PCA JMLR 2022 Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport NeurIPS 2022 Target alignment in truncated kernel ridge regression NeurIPS 2022 The Fast Kernel Transform AISTATS 2022 The Teaching Dimension of Regularized Kernel Learners ICML 2022 The Three Stages of Learning Dynamics in High-dimensional Kernel Methods ICLR 2022 Total Stability of SVMs and Localized SVMs JMLR 2022 Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees NeurIPS 2022 TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion AAAI 2022 TRF: Learning Kernels with Tuned Random Features AAAI 2022 Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation CVPR 2022 Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes ICML 2022 What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? NeurIPS 2022 Acoustic Scene Classification Using Kervolution-Based SubSpectralNet Interspeech 2021 Active Slices for Sliced Stein Discrepancy ICML 2021 A general linear-time inference method for Gaussian Processes on one dimension JMLR 2021 A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces AISTATS 2021 A Kernel-based Test of Independence for Cluster-correlated Data NeurIPS 2021 A kernel two-sample test with selection bias UAI 2021 Analyzing the discrepancy principle for kernelized spectral filter learning algorithms JMLR 2021 An analysis of Ermakov-Zolotukhin quadrature using kernels NeurIPS 2021 A Non-Linear Structural Probe NAACL 2021 Application of kernel hypothesis testing on set-valued data UAI 2021 Approximation Theory Based Methods for RKHS Bandits ICML 2021 A Precise Performance Analysis of Support Vector Regression ICML 2021