conftrace_

deep kernel learning

23 papers

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Also known as

DKL

Co-occurring keywords

gaussian process (1200) kernel methods (1097) variational inference (2069) reproducing kernel hilbert space (334) neural network (6616) rademacher complexity (109) generalization bound (652) uncertainty estimation (648) deep kernel (16) inducing point (33)

Papers

Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification AAAI 2025
Nonstationary Sparse Spectral Permanental Process NIPS 2024
Guided Deep Kernel Learning UAI 2023
Nearly-tight Bounds for Deep Kernel Learning ICML 2023
Hierarchical Kernels in Deep Kernel Learning JMLR 2023
Deep learning with kernels through RKHM and the Perron-Frobenius operator NIPS 2023
Interactive Segmentation As Gaussion Process Classification CVPR 2023
Deep Kernel Regression with Finite Learnable Kernels ACML 2023
Scalable Deep Kernel Gaussian Process for Vehicle Dynamics in Autonomous Racing CORL 2023
Physics Informed Deep Kernel Learning AISTATS 2022
Longitudinal Deep Kernel Gaussian Process Regression AAAI 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning ICML 2021
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021
The promises and pitfalls of deep kernel learning UAI 2021
Personalized Federated Learning With Gaussian Processes NIPS 2021
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning AISTATS 2020
Deep Message Passing on Sets AAAI 2020
A Representer Theorem for Deep Kernel Learning JMLR 2019
Deep Spectral Kernel Learning IJCAI 2019
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance NIPS 2018
Stochastic Variational Deep Kernel Learning NIPS 2016
Deep Kernel Learning AISTATS 2016
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction ICML 2013