gaussian process

Deep kernel processes ICML 2021 Deep kernels with probabilistic embeddings for small-data learning UAI 2021 Differentially Private Regression and Classification with Sparse Gaussian Processes JMLR 2021 Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021 Diverse Video Generation using a Gaussian Process Trigger ICLR 2021 Dynamic Causal Bayesian Optimization NeurIPS 2021 EDGE: Explaining Deep Reinforcement Learning Policies NeurIPS 2021 Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes ICML 2021 Exploiting a Zoo of Checkpoints for Unseen Tasks NeurIPS 2021 Fast Adaptation with Linearized Neural Networks AISTATS 2021 Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation NeurIPS 2021 Faster Kernel Interpolation for Gaussian Processes AISTATS 2021 Few-Shot Bayesian Optimization with Deep Kernel Surrogates ICLR 2021 Gaussian process nowcasting: application to COVID-19 mortality reporting UAI 2021 Gaussian Process Priors for View-Aware Inference AAAI 2021 Geometric convergence of elliptical slice sampling ICML 2021 Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels CoRL 2021 GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data UAI 2021 GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning ICML 2021 Hierarchical Inducing Point Gaussian Process for Inter-domian Observations AISTATS 2021 High-dimensional Bayesian optimization with sparse axis-aligned subspaces UAI 2021 High-Dimensional Gaussian Process Inference with Derivatives ICML 2021 How is BERT surprised? Layerwise detection of linguistic anomalies ACL 2021 Improving predictions of Bayesian neural nets via local linearization AISTATS 2021 Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations WACV 2021