kernel methods

Credal Two-Sample Tests of Epistemic Uncertainty AISTATS 2025 Deep Kernel Relative Test for Machine-generated Text Detection ICLR 2025 DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning AAAI 2025 DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification AAAI 2025 Differentially Private Kernelized Contextual Bandits AISTATS 2025 DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization ACL 2025 Extending Mercer's expansion to indefinite and asymmetric kernels ICLR 2025 Faster Algorithms for Structured Linear and Kernel Support Vector Machines ICLR 2025 Fast Summation of Radial Kernels via QMC Slicing ICLR 2025 Granular-Ball-Induced Multiple Kernel K-Means IJCAI 2025 Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection JMLR 2025 Information-Based Exploration via Random Features for Reinforcement Learning ACML 2025 Kernel-based L_2-Boosting with Structure Constraints JMLR 2025 Kernel-Based Optimal Control: An Infinitesimal Generator Approach L4DC 2025 Kernel-based Optimally Weighted Conformal Time-Series Prediction ICLR 2025 KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025 Kernel Single Proxy Control for Deterministic Confounding AISTATS 2025 KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering AAAI 2025 KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks IJCAI 2025 Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels CVPR 2025 Learning causal graphs via nonlinear sufficient dimension reduction JMLR 2025 Matérn Kernels for Tunable Implicit Surface Reconstruction ICLR 2025 Metric Convolutions: A Unifying Theory to Adaptive Image Convolutions ICCV 2025 Metric Learning in an RKHS UAI 2025 Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning JMLR 2025