gaussian process

Mixed variable Bayesian optimization with frequency modulated kernels UAI 2021 Modular Gaussian Processes for Transfer Learning NeurIPS 2021 Multi-class Gaussian Process Classification with Noisy Inputs JMLR 2021 Multi-Fidelity High-Order Gaussian Processes for Physical Simulation AISTATS 2021 Multi-resolution modeling of a discrete stochastic process identifies causes of cancer ICLR 2021 Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis JMLR 2021 Non-asymptotic approximations of neural networks by Gaussian processes COLT 2021 Non-Gaussian Gaussian Processes for Few-Shot Regression NeurIPS 2021 Nonparametric Decomposition of Sparse Tensors ICML 2021 No-Regret Algorithms for Private Gaussian Process Bandit Optimization AISTATS 2021 No-regret approximate inference via Bayesian optimisation UAI 2021 Objective Bound Conditional Gaussian Process for Bayesian Optimization ICML 2021 On Information Gain and Regret Bounds in Gaussian Process Bandits AISTATS 2021 On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization ICML 2021 Optimal Order Simple Regret for Gaussian Process Bandits NeurIPS 2021 Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search ICML 2021 PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees ICML 2021 Pathwise Conditioning of Gaussian Processes JMLR 2021 Periodic Activation Functions Induce Stationarity NeurIPS 2021 Personalized Federated Learning With Gaussian Processes NeurIPS 2021 Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression AAAI 2021 Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers NeurIPS 2021 Probabilistic DAG search UAI 2021 Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation CVPR 2021 Probabilistic Numeric Convolutional Neural Networks ICLR 2021