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

Neural Architecture Search with Bayesian Optimisation and Optimal Transport NIPS 2018
Scalable Hyperparameter Transfer Learning NIPS 2018
Practical Bayesian optimization in the presence of outliers AISTATS 2018
Structured Gaussian Processes with Twin Multiple Kernel Learning ACML 2018
Distribution of Gaussian Process Arc Lengths AISTATS 2017
Signal-based Bayesian Seismic Monitoring AISTATS 2017
Learning Optimal Interventions AISTATS 2017
Hierarchically-partitioned Gaussian Process Approximation AISTATS 2017
Bayesian Optimization with Gradients NIPS 2017
Regret Bounds for Transfer Learning in Bayesian Optimisation AISTATS 2017
Incorporating Uncertainty into Deep Learning for Spoken Language Assessment ACL 2017
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes NIPS 2017
Identification of Gaussian Process State Space Models NIPS 2017
Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes NIPS 2017
Reliable Decision Support using Counterfactual Models NIPS 2017
Scalable Multi-Class Gaussian Process Classification using Expectation Propagation ICML 2017
Streaming Sparse Gaussian Process Approximations NIPS 2017
Multi-Information Source Optimization NIPS 2017
Non-Stationary Spectral Kernels NIPS 2017
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes NIPS 2017
Scalable Levy Process Priors for Spectral Kernel Learning NIPS 2017
Fast Bayesian Intensity Estimation for the Permanental Process ICML 2017
High Dimensional Bayesian Optimization with Elastic Gaussian Process ICML 2017
YASS: Yet Another Spike Sorter NIPS 2017
Convolutional Gaussian Processes NIPS 2017