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

Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs AISTATS 2019
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution AISTATS 2019
The Gaussian Process Autoregressive Regression Model (GPAR) AISTATS 2019
Non-linear process convolutions for multi-output Gaussian processes AISTATS 2019
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints AISTATS 2019
Harmonizable mixture kernels with variational Fourier features AISTATS 2019
Multiscale Gaussian Process Level Set Estimation AISTATS 2019
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features AISTATS 2019
Convolutional Sequence Generation for Skeleton-Based Action Synthesis ICCV 2019
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent NIPS 2019
Reliable training and estimation of variance networks NIPS 2019
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era AISTATS 2019
Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes NIPS 2019
Bayesian Deconditional Kernel Mean Embeddings ICML 2019
Bayesian Layers: A Module for Neural Network Uncertainty NIPS 2019
Debiased Bayesian inference for average treatment effects NIPS 2019
Scalable Training of Inference Networks for Gaussian-Process Models ICML 2019
Distribution calibration for regression ICML 2019
Scalable Bayesian Non-linear Matrix Completion IJCAI 2019
AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs ICML 2019
Online Incremental Learning of the Terrain Traversal Cost in Autonomous Exploration RSS 2019
Bayesian Optimization under Heavy-tailed Payoffs NIPS 2019
Bayesian optimisation under uncertain inputs AISTATS 2019
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures ICML 2019
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping MLHC 2019