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

Tracking Disease Outbreaks from Sparse Data with Bayesian Inference AAAI 2021
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions (Student Abstract) AAAI 2021
Gaussian Process Priors for View-Aware Inference AAAI 2021
Objective Bound Conditional Gaussian Process for Bayesian Optimization ICML 2021
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning ICML 2021
Deep kernel processes ICML 2021
A New Representation of Successor Features for Transfer across Dissimilar Environments ICML 2021
Sparse within Sparse Gaussian Processes using Neighbor Information ICML 2021
Modular Gaussian Processes for Transfer Learning NIPS 2021
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization ICML 2021
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance NIPS 2021
Bayesian Optimization with High-Dimensional Outputs NIPS 2021
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees ICML 2021
Bayesian Optimized Monte Carlo Planning AAAI 2021
Optimal Order Simple Regret for Gaussian Process Bandits NIPS 2021
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations NIPS 2021
Multi-class Gaussian Process Classification with Noisy Inputs JMLR 2021
Continuous Integration over SO(3) for IMU Preintegration RSS 2021
Hierarchical Inducing Point Gaussian Process for Inter-domian Observations AISTATS 2021
The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks JMLR 2021
On Information Gain and Regret Bounds in Gaussian Process Bandits AISTATS 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks NIPS 2021
How is BERT surprised? Layerwise detection of linguistic anomalies IJCNLP 2021
Location Trace Privacy Under Conditional Priors AISTATS 2021
A variational approximate posterior for the deep Wishart process NIPS 2021