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kernel function

40 papers

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Co-occurring keywords

kernel methods (1097) gaussian process (1200) support vector machine (978) bayesian optimization (624) reproducing kernel hilbert space (334) convex optimization (1321) neural network (6616) online learning (1777) dimensionality reduction (720) deep kernel (16)

Papers

Uncertainty Modelling in Under-Represented Languages with Bayesian Deep Gaussian Processes COLING 2025
On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains JMLR 2024
Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024
Expanding Sparse Tuning for Low Memory Usage NIPS 2024
Sample-efficient Bayesian Optimisation Using Known Invariances NIPS 2024
Linear Transformers with Learnable Kernel Functions are Better In-Context Models ACL 2024
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee JMLR 2024
Metrizing Weak Convergence with Maximum Mean Discrepancies JMLR 2023
GPEX, A Framework For Interpreting Artificial Neural Networks NIPS 2023
Kernel QuantTree ICML 2023
Hyper-Convolution Networks for Biomedical Image Segmentation WACV 2022
Implicit Kernel Attention AAAI 2021
Sketch based Memory for Neural Networks AISTATS 2021
Learning GPLVM with arbitrary kernels using the unscented transformation AISTATS 2021
Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems AAAI 2021
Active Offline Policy Selection NIPS 2021
Graph Random Neural Features for Distance-Preserving Graph Representations ICML 2020
Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters NIPS 2020
A Representer Theorem for Deep Kernel Learning JMLR 2019
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning CORL 2019
KELP: a Kernel-based Learning Platform JMLR 2018
Kernelized Synaptic Weight Matrices ICML 2018
Learning Scalable Deep Kernels with Recurrent Structure JMLR 2017
On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint JMLR 2016
The limits of squared Euclidean distance regularization NIPS 2014