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

Quantum Bayesian Optimization NIPS 2023
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior NIPS 2023
Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization NIPS 2023
Failure-Aware Gaussian Process Optimization with Regret Bounds NIPS 2023
DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization NIPS 2023
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients ICML 2023
Benefits of monotonicity in safe exploration with Gaussian processes UAI 2023
Robust Gaussian process regression with the trimmed marginal likelihood UAI 2023
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems AISTATS 2023
Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023
Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs NIPS 2023
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision AISTATS 2023
ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion NIPS 2023
Interactive Segmentation As Gaussion Process Classification CVPR 2023
Human spatiotemporal pattern learning as probabilistic program synthesis NIPS 2023
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings AISTATS 2023
ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion ACL 2023
Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis ICML 2023
Gaussian Processes on Distributions based on Regularized Optimal Transport AISTATS 2023
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes ICML 2023
Sparse Bayesian optimization AISTATS 2023
Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking ACL 2023
The past does matter: correlation of subsequent states in trajectory predictions of Gaussian Process models UAI 2023
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities AISTATS 2023