gaussian process

Bayesian Adaptive Calibration and Optimal Design NeurIPS 2024 Bayesian Exploration of Pre-trained Models for Low-shot Image Classification CVPR 2024 Bayesian Online Natural Gradient (BONG) NeurIPS 2024 Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NeurIPS 2024 Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes ICLR 2024 Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding NeurIPS 2024 Boundary-Aware Uncertainty for Feature Attribution Explainers AISTATS 2024 Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations JMLR 2024 Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024 Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds ICML 2024 Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NeurIPS 2024 Computation-Aware Learning for Stable Control with Gaussian Process RSS 2024 Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024 Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing AAAI 2024 Correlated Binomial Process COLT 2024 DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS ICLR 2024 Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024 Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024 Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes AAAI 2024 Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior ICML 2024 Efficient Interactive Maximization of BP and Weakly Submodular Objectives UAI 2024 Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024 Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024 Efficient Nonparametric Tensor Decomposition for Binary and Count Data AAAI 2024 Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024