conftrace_

deep kernel

16 papers

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Co-occurring keywords

gaussian process (1200) kernel methods (1097) neural network (6616) variational inference (2069) kernel function (40) scalable inference (33) score matching (97) maximum mean discrepancy (164) deep kernel learning (23) bayesian inference (1907)

Papers

Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data AAAI 2024
Nonstationary Sparse Spectral Permanental Process NIPS 2024
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee JMLR 2024
Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes NIPS 2023
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks ICML 2021
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021
Deep kernels with probabilistic embeddings for small-data learning UAI 2021
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NIPS 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests ICML 2020
An Interpretable and Sample Efficient Deep Kernel for Gaussian Process UAI 2020
Learning deep kernels for exponential family densities ICML 2019
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition AISTATS 2018
Learning Scalable Deep Kernels with Recurrent Structure JMLR 2017
Deep Kernels for Optimizing Locomotion Controllers CORL 2017
Improper Deep Kernels AISTATS 2016
Two-Layer Multiple Kernel Learning AISTATS 2011