Gaussian Processes

Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning NeurIPS 2024 Transfer learning for tensor Gaussian graphical models JMLR 2024 Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024 Uncertainty Estimation with Recursive Feature Machines UAI 2024 Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024 Variational Gaussian Process Diffusion Processes AISTATS 2024 A Corrected Expected Improvement Acquisition Function Under Noisy Observations ACML 2023 Actually Sparse Variational Gaussian Processes AISTATS 2023 Adaptive Cholesky Gaussian Processes AISTATS 2023 A Kernel Perspective of Skip Connections in Convolutional Networks ICLR 2023 A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data AISTATS 2023 A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks AAAI 2023 A theory of representation learning gives a deep generalisation of kernel methods ICML 2023 Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors JMLR 2023 Bayesian online change point detection with Hilbert space approximate Student-t process ICML 2023 Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings AISTATS 2023 Causal Modeling of Policy Interventions From Treatment-Outcome Sequences ICML 2023 Cluster-Specific Predictions with Multi-Task Gaussian Processes JMLR 2023 Conditional Matrix Flows for Gaussian Graphical Models NeurIPS 2023 Confidence and Uncertainty Assessment for Distributional Random Forests JMLR 2023 Constrained Causal Bayesian Optimization ICML 2023 Constrained Efficient Global Optimization of Expensive Black-box Functions ICML 2023 Contextual Gaussian Process Bandits with Neural Networks NeurIPS 2023 Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications NeurIPS 2023 Delayed Feedback in Kernel Bandits ICML 2023