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

Knowing The What But Not The Where in Bayesian Optimization ICML 2020
Streaming Nonlinear Bayesian Tensor Decomposition UAI 2020
GPIRT: A Gaussian Process Model for Item Response Theory UAI 2020
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation UAI 2020
Zeroth Order Non-convex optimization with Dueling-Choice Bandits UAI 2020
Self-Modulating Nonparametric Event-Tensor Factorization ICML 2020
Sensor Placement for Spatial Gaussian Processes with Integral Observations UAI 2020
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds NIPS 2020
Matérn Gaussian Processes on Riemannian Manifolds NIPS 2020
Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters NIPS 2020
Why bigger is not always better: on finite and infinite neural networks ICML 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks ICML 2020
Learning of Sub-optimal Gait Controllers for Magnetic Walking Soft Millirobots RSS 2020
Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions L4DC 2020
Robust Regression for Safe Exploration in Control L4DC 2020
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights NIPS 2020
Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation IJCAI 2020
Bayesian Optimization of Risk Measures NIPS 2020
Bayesian Optimization using Pseudo-Points IJCAI 2020
Learning in the Wild with Incremental Skeptical Gaussian Processes IJCAI 2020
Learning Fair Representations for Kernel Models AISTATS 2020
Mixed Strategies for Robust Optimization of Unknown Objectives AISTATS 2020
Scalable Nonparametric Factorization for High-Order Interaction Events AISTATS 2020
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes NIPS 2020
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization NIPS 2020