Gaussian Processes

Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data ICLR 2024 Linearly Constrained Gaussian Processes are SkewGPs: application to Monotonic Preference Learning and Desirability UAI 2024 Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems NeurIPS 2024 Multi-layer random features and the approximation power of neural networks UAI 2024 No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes UAI 2024 Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models L4DC 2024 Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance UAI 2024 Response Time Improves Gaussian Process Models for Perception and Preferences UAI 2024 Revisiting Kernel Attention with Correlated Gaussian Process Representation UAI 2024 Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior ACML 2024 A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation ICLR 2023 Estimation of Counterfactual Interventions under Uncertainties ACML 2023 Transformed Gaussian Processes for Characterizing a Model’s Discrepancy ACML 2023 Infinite-Fidelity Coregionalization for Physical Simulation NeurIPS 2022 Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data ACML 2022 Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations NeurIPS 2021 Bayesian neural network unit priors and generalized Weibull-tail property ACML 2021 Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features NeurIPS 2021 Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness JMLR 2021 Gaussian Process Priors for View-Aware Inference AAAI 2021 Scalable gradient matching based on state space Gaussian Processes ACML 2021 Functional Regularisation for Continual Learning with Gaussian Processes ICLR 2020 Localizing and Amortizing: Efficient Inference for Gaussian Processes ACML 2020 Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning IJCAI 2019 Sequential Neural Processes NeurIPS 2019