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

Combinatorial Bayesian Optimization using the Graph Cartesian Product NIPS 2019
Convergence Guarantees for Adaptive Bayesian Quadrature Methods NIPS 2019
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction JMLR 2019
Gaussian Processes with Linear Operator Inequality Constraints JMLR 2019
Bayesian Optimization for Policy Search via Online-Offline Experimentation JMLR 2019
Variational Implicit Processes ICML 2019
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models ICML 2019
A Framework for Bayesian Optimization in Embedded Subspaces ICML 2019
End-to-End Probabilistic Inference for Nonstationary Audio Analysis ICML 2019
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks UAI 2019
Periodic Kernel Approximation by Index Set Fourier Series Features UAI 2019
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models ICML 2019
Boosting Local Shape Matching for Dense 3D Face Correspondence CVPR 2019
Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities AAAI 2019
Robustness Guarantees for Bayesian Inference with Gaussian Processes AAAI 2019
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning ACL 2019
Meta Learning for Hyperparameter Optimization in Dialogue System INTERSPEECH 2019
Calibrating Deep Convolutional Gaussian Processes AISTATS 2019
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees AISTATS 2019
Statistical Model Aggregation via Parameter Matching NIPS 2019
Real-Time Reactive Trip Avoidance for Powered Transfemoral Prostheses RSS 2019
Band-Limited Gaussian Processes: The Sinc Kernel NIPS 2019
Automated Rule Base Completion as Bayesian Concept Induction AAAI 2019
Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation AAAI 2019
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models AISTATS 2019