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Gaussian Processes

568 directly classified papers

Papers per year

Papers

Log-Linear-Time Gaussian Processes Using Binary Tree Kernels NIPS 2022
Sensing Cox Processes via Posterior Sampling and Positive Bases AISTATS 2022
Weighted Gaussian Process Bandits for Non-stationary Environments AISTATS 2022
Transfer Learning with Gaussian Processes for Bayesian Optimization AISTATS 2022
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets AISTATS 2022
High-dimensional Additive Gaussian Processes under Monotonicity Constraints NIPS 2022
Learning interacting dynamical systems with latent Gaussian process ODEs NIPS 2022
Monte Carlo Tree Descent for Black-Box Optimization NIPS 2022
Information-Theoretic Safe Exploration with Gaussian Processes NIPS 2022
Measuring the robustness of Gaussian processes to kernel choice AISTATS 2022
Uncertainty Quantification for Bayesian Optimization AISTATS 2022
Learning Inconsistent Preferences with Gaussian Processes AISTATS 2022
Parallel MCMC Without Embarrassing Failures AISTATS 2022
Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding COLING 2022
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations AISTATS 2022
Gaussian Process Bandit Optimization with Few Batches AISTATS 2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022
Jump Gaussian Process Model for Estimating Piecewise Continuous Regression Functions JMLR 2022
Learning Temporal Evolution of Spatial Dependence with Generalized Spatiotemporal Gaussian Process Models JMLR 2022
Gaussian Process Boosting JMLR 2022
Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits JMLR 2022
Adversarial Robustness Guarantees for Gaussian Processes JMLR 2022
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network AAAI 2022
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations JMLR 2022
Gauss-Legendre Features for Gaussian Process Regression JMLR 2022