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

Regret Bounds for Gaussian-Process Optimization in Large Domains NIPS 2021
Dynamic Causal Bayesian Optimization NIPS 2021
Personalized Federated Learning With Gaussian Processes NIPS 2021
Non-Gaussian Gaussian Processes for Few-Shot Regression NIPS 2021
Faster Kernel Interpolation for Gaussian Processes AISTATS 2021
Optimal Order Simple Regret for Gaussian Process Bandits NIPS 2021
Marginalised Gaussian Processes with Nested Sampling NIPS 2021
Raven's Progressive Matrices Completion with Latent Gaussian Process Priors AAAI 2021
Longitudinal Deep Kernel Gaussian Process Regression AAAI 2021
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
Exploiting a Zoo of Checkpoints for Unseen Tasks NIPS 2021
Gaussian Process Priors for View-Aware Inference AAAI 2021
The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks JMLR 2021
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation CVPR 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
Learning to learn with Gaussian processes UAI 2021
Sparse within Sparse Gaussian Processes using Neighbor Information ICML 2021
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data ICML 2021
Bias-Free Scalable Gaussian Processes via Randomized Truncations ICML 2021
Conditioning Sparse Variational Gaussian Processes for Online Decision-making NIPS 2021
EDGE: Explaining Deep Reinforcement Learning Policies NIPS 2021