Gaussian Processes

Uncertainty Estimation for Molecules: Desiderata and Methods ICML 2023 Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration CVPR 2023 Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023 Variational Gaussian processes for linear inverse problems NeurIPS 2023 Accurate and Scalable Gaussian Processes for Fine-Grained Air Quality Inference AAAI 2022 Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022 Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets AISTATS 2022 Additive Gaussian Processes Revisited ICML 2022 Adjoint-aided inference of Gaussian process driven differential equations NeurIPS 2022 Adversarial Attacks on Gaussian Process Bandits ICML 2022 Adversarial Robustness Guarantees for Gaussian Processes JMLR 2022 A generalization of the randomized singular value decomposition ICLR 2022 Byzantine-tolerant federated Gaussian process regression for streaming data NeurIPS 2022 Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations NeurIPS 2022 Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-identification AAAI 2022 Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model AAAI 2022 Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior JMLR 2022 Efficient Approximate Inference for Stationary Kernel on Frequency Domain ICML 2022 Fast Bayesian Estimation of Point Process Intensity as Function of Covariates NeurIPS 2022 Feature Collapsing for Gaussian Process Variable Ranking AISTATS 2022 Gaussian Process Bandit Optimization with Few Batches AISTATS 2022 Gaussian Process Bandits with Aggregated Feedback AAAI 2022 Gaussian Process Boosting JMLR 2022 Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits JMLR 2022 Gauss-Legendre Features for Gaussian Process Regression JMLR 2022