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gaussian process

1200 papers

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Also known as

GP

Co-occurring keywords

variational inference (2069) bayesian optimization (624) bayesian inference (1907) uncertainty quantification (1393) kernel methods (1097) gaussian processes (89) regret bound (1926) active learning (1301) sparse approximation (76) hyperparameter optimization (406)

Papers

Neural Diffusion Processes ICML 2023
A Framework and Benchmark for Deep Batch Active Learning for Regression JMLR 2023
Constrained Efficient Global Optimization of Expensive Black-box Functions ICML 2023
Optimizing Hyperparameters with Conformal Quantile Regression ICML 2023
Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors JMLR 2023
Gaussian Processes with Errors in Variables: Theory and Computation JMLR 2023
Constrained Causal Bayesian Optimization ICML 2023
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023
Mode-constrained Model-based Reinforcement Learning via Gaussian Processes AISTATS 2023
Multilevel Bayesian Quadrature AISTATS 2023
A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data AISTATS 2023
Uncertainty Estimation for Molecules: Desiderata and Methods ICML 2023
Actually Sparse Variational Gaussian Processes AISTATS 2023
Neural signature kernels as infinite-width-depth-limits of controlled ResNets ICML 2023
Autonomous Navigation, Mapping and Exploration with Gaussian Processes RSS 2023
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes ICML 2023
POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments RSS 2023
Sequential Monte Carlo Learning for Time Series Structure Discovery ICML 2023
Estimating Causal Effects using a Multi-task Deep Ensemble ICML 2023
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation ICML 2023
Bayesian online change point detection with Hilbert space approximate Student-t process ICML 2023
Nonparametric Gaussian Process Covariances via Multidimensional Convolutions AISTATS 2023
Isotropic Gaussian Processes on Finite Spaces of Graphs AISTATS 2023
Distilling knowledge from Gaussian process teacher to neural network student INTERSPEECH 2023
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision AISTATS 2023