Gaussian Processes

Posterior and Computational Uncertainty in Gaussian Processes NeurIPS 2022 Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations AISTATS 2022 Rate of Convergence of Polynomial Networks to Gaussian Processes COLT 2022 Revisiting Active Sets for Gaussian Process Decoders NeurIPS 2022 Scalable Deep Gaussian Markov Random Fields for General Graphs ICML 2022 Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022 Scale Mixtures of Neural Network Gaussian Processes ICLR 2022 Sensing Cox Processes via Posterior Sampling and Positive Bases AISTATS 2022 Sparse Additive Gaussian Process Regression JMLR 2022 Sparse Gaussian Process Hyperparameters: Optimize or Integrate? NeurIPS 2022 Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport NeurIPS 2022 Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data NeurIPS 2022 Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding COLING 2022 Transfer Learning with Gaussian Processes for Bayesian Optimization AISTATS 2022 Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces NeurIPS 2022 Uncertainty Quantification for Bayesian Optimization AISTATS 2022 Variational nearest neighbor Gaussian process ICML 2022 Weighted Gaussian Process Bandits for Non-stationary Environments AISTATS 2022 Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations NeurIPS 2021 A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning NeurIPS 2021 A New Representation of Successor Features for Transfer across Dissimilar Environments ICML 2021 An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence NeurIPS 2021 A Temporal Kernel Approach for Deep Learning with Continuous-time Information ICLR 2021 A universal probabilistic spike count model reveals ongoing modulation of neural variability NeurIPS 2021 Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks AAAI 2021