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

Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL NIPS 2021
Matérn Gaussian Processes on Graphs AISTATS 2021
Conditioning Sparse Variational Gaussian Processes for Online Decision-making NIPS 2021
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search ICML 2021
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data ICML 2021
Adversarial Robustness Guarantees for Random Deep Neural Networks ICML 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning ICML 2021
Continuous-time edge modelling using non-parametric point processes NIPS 2021
Latent Gaussian process with composite likelihoods and numerical quadrature AISTATS 2021
Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021
EDGE: Explaining Deep Reinforcement Learning Policies NIPS 2021
On Information Gain and Regret Bounds in Gaussian Process Bandits AISTATS 2021
How is BERT surprised? Layerwise detection of linguistic anomalies IJCNLP 2021
Scalable Gaussian Process Variational Autoencoders AISTATS 2021
GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data UAI 2021
The promises and pitfalls of deep kernel learning UAI 2021
Information theoretic meta learning with Gaussian processes UAI 2021
Location Trace Privacy Under Conditional Priors AISTATS 2021
Leveraging probabilistic circuits for nonparametric multi-output regression UAI 2021
Gaussian process nowcasting: application to COVID-19 mortality reporting UAI 2021
Similarity measure for sparse time course data based on Gaussian processes UAI 2021
Deep kernels with probabilistic embeddings for small-data learning UAI 2021
Bayesian Optimization of Function Networks NIPS 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks NIPS 2021
Scalable gradient matching based on state space Gaussian Processes ACML 2021