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gaussian process

1200 papers

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Also known as

GP

Co-occurring keywords

variational inference (2069) bayesian optimization (624) bayesian inference (1907) uncertainty quantification (1393) kernel methods (1097) gaussian processes (89) regret bound (1926) active learning (1301) sparse approximation (76) hyperparameter optimization (406)

Papers

Bayesian Probabilistic Numerical Integration with Tree-Based Models NIPS 2020
Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models L4DC 2020
Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations AAAI 2020
Universal Adversarial Attacks on Spoken Language Assessment Systems INTERSPEECH 2020
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization AAAI 2020
Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning AAAI 2020
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process AAAI 2020
Generalized probabilistic principal component analysis of correlated data JMLR 2020
Conjugate Gradients for Kernel Machines JMLR 2020
Regularized Gaussian Belief Propagation with Nodes of Arbitrary Size JMLR 2020
Distributionally Ambiguous Optimization for Batch Bayesian Optimization JMLR 2020
Bayesian Optimisation over Multiple Continuous and Categorical Inputs ICML 2020
The Kalai-Smorodinsky solution for many-objective Bayesian optimization JMLR 2020
Unsupervised Deep Shape Descriptor With Point Distribution Learning CVPR 2020
Private Outsourced Bayesian Optimization ICML 2020
Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs JMLR 2020
Differentiable Likelihoods for Fast Inversion of ’Likelihood-Free’ Dynamical Systems ICML 2020
Sparse Gaussian Processes with Spherical Harmonic Features ICML 2020
Semi-parametric Learning of Structured Temporal Point Processes JMLR 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization NIPS 2020
Efficiently sampling functions from Gaussian process posteriors ICML 2020
Randomly Projected Additive Gaussian Processes for Regression ICML 2020
Modulating Surrogates for Bayesian Optimization ICML 2020
Healing Products of Gaussian Process Experts ICML 2020
Scalable Gaussian Process Regression Networks IJCAI 2020