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kernel learning

102 papers

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Co-occurring keywords

kernel methods (1097) gaussian process (1200) reproducing kernel hilbert space (334) kernel matrix (73) multiple kernel learning (80) bayesian optimization (624) support vector machine (978) bayesian inference (1907) determinantal point process (140) maximum mean discrepancy (164)

Papers

Frequency Dynamic Convolution for Dense Image Prediction CVPR 2025
Kernel Learning for Sample Constrained Black-Box Optimization AAAI 2025
Efficient Convex Algorithms for Universal Kernel Learning JMLR 2024
Fast Fourier Bayesian Quadrature AISTATS 2024
Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features NIPS 2024
A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators JMLR 2024
Distributed Kernel-Driven Data Clustering JMLR 2024
Learning GAI-Decomposable Utility Models for Multiattribute Decision Making AAAI 2024
Post-Regularization Confidence Bands for Ordinary Differential Equations JMLR 2024
Learning Adaptive Kernels for Statistical Independence Tests AISTATS 2024
Set-valued Classification with Out-of-distribution Detection for Many Classes JMLR 2023
Optimal Convergence Rates for Agnostic Nyström Kernel Learning ICML 2023
Bayesian Optimisation of Functions on Graphs NIPS 2023
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels UAI 2023
Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023
Thin and deep Gaussian processes NIPS 2023
Meta-Learning Hypothesis Spaces for Sequential Decision-making ICML 2022
TRF: Learning Kernels with Tuned Random Features AAAI 2022
Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention NAACL 2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training NIPS 2022
Marginalising over Stationary Kernels with Bayesian Quadrature AISTATS 2022
Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation CVPR 2022
K-Net: Towards Unified Image Segmentation NIPS 2021
Learning Strategies in Decentralized Matching Markets under Uncertain Preferences JMLR 2021
Distributed Nyström Kernel Learning with Communications ICML 2021