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

Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data AAAI 2025
Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection ICCV 2025
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs JMLR 2025
KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025
Towards Uncertainty Unification: A Case Study for Preference Learning RSS 2025
Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data JMLR 2025
LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? EMNLP 2025
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization AAAI 2025
Score-Based Diffusion Models in Function Space JMLR 2025
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification RSS 2025
Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals JMLR 2025
Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025
A Bayesian Optimization Approach to Machine Translation Reranking NAACL 2025
One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models ACL 2025
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024
Intrinsic Gaussian Vector Fields on Manifolds AISTATS 2024
Scalable Meta-Learning with Gaussian Processes AISTATS 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning NIPS 2024
A Unifying Variational Framework for Gaussian Process Motion Planning AISTATS 2024
Efficient Nonparametric Tensor Decomposition for Binary and Count Data AAAI 2024
Gaussian Process Neural Additive Models AAAI 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024
Hodge-Compositional Edge Gaussian Processes AISTATS 2024
Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data AAAI 2024
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing AAAI 2024