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

AdaGeo: Adaptive Geometric Learning for Optimization and Sampling AISTATS 2018
Tensor Regression Meets Gaussian Processes AISTATS 2018
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes AISTATS 2018
Batched Large-scale Bayesian Optimization in High-dimensional Spaces AISTATS 2018
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data AISTATS 2018
Differentially Private Regression with Gaussian Processes AISTATS 2018
Product Kernel Interpolation for Scalable Gaussian Processes AISTATS 2018
Bayesian Structure Learning for Dynamic Brain Connectivity AISTATS 2018
Variational Fourier Features for Gaussian Processes JMLR 2018
How Deep Are Deep Gaussian Processes? JMLR 2018
Bayesian Quadrature for Multiple Related Integrals ICML 2018
Probabilistic Recurrent State-Space Models ICML 2018
Conditional Neural Processes ICML 2018
Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data ICML 2018
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design ICML 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning ICML 2018
Variational Network Inference: Strong and Stable with Concrete Support ICML 2018
Differentiable Compositional Kernel Learning for Gaussian Processes ICML 2018
Human Motion Generation via Cross-Space Constrained Sampling IJCAI 2018
Nonrigid Points Alignment with Soft-weighted Selection IJCAI 2018
Global SNR Estimation of Speech Signals Using Entropy and Uncertainty Estimates from Dropout Networks INTERSPEECH 2018
Structured Uncertainty Prediction Networks CVPR 2018
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NIPS 2018
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification NIPS 2018
Scaling Gaussian Process Regression with Derivatives NIPS 2018