deep kernel

Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data AAAI 2024 Nonstationary Sparse Spectral Permanental Process NeurIPS 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 NeurIPS 2023 Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction ICLR 2023 Deep kernels with probabilistic embeddings for small-data learning UAI 2021 Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021 Few-Shot Bayesian Optimization with Deep Kernel Surrogates ICLR 2021 Maximum Mean Discrepancy Test is Aware of Adversarial Attacks ICML 2021 An Interpretable and Sample Efficient Deep Kernel for Gaussian Process UAI 2020 Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NeurIPS 2020 Learning Deep Kernels for Non-Parametric Two-Sample Tests ICML 2020 Learning deep kernels for exponential family densities ICML 2019 Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition AISTATS 2018 Deep Kernels for Optimizing Locomotion Controllers CoRL 2017 Learning Scalable Deep Kernels with Recurrent Structure JMLR 2017 Improper Deep Kernels AISTATS 2016 Two-Layer Multiple Kernel Learning AISTATS 2011