conftrace_

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

Multilateral Semantic Relations Modeling for Image Text Retrieval CVPR 2023
Estimating Causal Effects using a Multi-task Deep Ensemble ICML 2023
A Corrected Expected Improvement Acquisition Function Under Noisy Observations ACML 2023
Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes ICML 2023
PFNs4BO: In-Context Learning for Bayesian Optimization ICML 2023
Sequential Monte Carlo Learning for Time Series Structure Discovery ICML 2023
Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023
Cluster-Specific Predictions with Multi-Task Gaussian Processes JMLR 2023
Physics-Guided Active Learning of Environmental Flow Fields L4DC 2023
Semiparametric Inference Using Fractional Posteriors JMLR 2023
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition JMLR 2023
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds JMLR 2023
POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments RSS 2023
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents ICML 2023
Bayesian online change point detection with Hilbert space approximate Student-t process ICML 2023
Tractable and Near-Optimal Adversarial Algorithms for Robust Estimation in Contaminated Gaussian Models JMLR 2023
Neural Diffusion Processes ICML 2023
Optimizing Hyperparameters with Conformal Quantile Regression ICML 2023
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes ICML 2023
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation ICML 2023
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees JMLR 2023
Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains ICML 2023
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra NIPS 2023
The past does matter: correlation of subsequent states in trajectory predictions of Gaussian Process models UAI 2023