conftrace_

inducing point

33 papers

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Co-occurring keywords

gaussian process (1200) variational inference (2069) sparse approximation (76) sparse gaussian process (27) deep gaussian process (38) kernel interpolation (7) stochastic variational inference (59) bayesian optimization (624) structured kernel interpolation (3) variational gaussian process (5)

Papers

How Good Are Inducing Points for Dataset Distillation? (Student Abstract) AAAI 2026
Sparse Variational Student-t Processes AAAI 2024
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees JMLR 2024
Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs AAAI 2024
Identifiable Feature Learning for Spatial Data with Nonlinear ICA AISTATS 2024
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent NIPS 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation AISTATS 2023
Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data AISTATS 2023
Variational Gaussian Processes with Decoupled Conditionals NIPS 2023
Kernel Interpolation with Sparse Grids NIPS 2022
Revisiting Active Sets for Gaussian Process Decoders NIPS 2022
Input Dependent Sparse Gaussian Processes ICML 2022
Faster Kernel Interpolation for Gaussian Processes AISTATS 2021
Personalized Federated Learning With Gaussian Processes NIPS 2021
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes ICML 2021
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition ICML 2021
Probabilistic selection of inducing points in sparse Gaussian processes UAI 2021
Matérn Gaussian Processes on Graphs AISTATS 2021
Hierarchical Inducing Point Gaussian Process for Inter-domian Observations AISTATS 2021
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior AAAI 2021
Doubly Sparse Variational Gaussian Processes AISTATS 2020
Sparse Orthogonal Variational Inference for Gaussian Processes AISTATS 2020
Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation AAAI 2019
Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes AISTATS 2019
Constant-Time Predictive Distributions for Gaussian Processes ICML 2018