gaussian process

Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds ICML 2023 Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints L4DC 2023 Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification NeurIPS 2023 Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023 Robust Gaussian process regression with the trimmed marginal likelihood UAI 2023 Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms NeurIPS 2023 Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent NeurIPS 2023 Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes AISTATS 2023 Scalable Deep Kernel Gaussian Process for Vehicle Dynamics in Autonomous Racing CoRL 2023 Scalable nonparametric Bayesian learning for dynamic velocity fields UAI 2023 Self-Correcting Bayesian Optimization through Bayesian Active Learning NeurIPS 2023 Semiparametric Inference Using Fractional Posteriors JMLR 2023 Sequential Monte Carlo Learning for Time Series Structure Discovery ICML 2023 Sharp Calibrated Gaussian Processes NeurIPS 2023 Sparse Bayesian optimization AISTATS 2023 Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023 Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes ICML 2023 Squared Neural Families: A New Class of Tractable Density Models NeurIPS 2023 Streaming Factor Trajectory Learning for Temporal Tensor Decomposition NeurIPS 2023 Survival Permanental Processes for Survival Analysis with Time-Varying Covariates NeurIPS 2023 Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis ICML 2023 The Behavior and Convergence of Local Bayesian Optimization NeurIPS 2023 The past does matter: correlation of subsequent states in trajectory predictions of Gaussian Process models UAI 2023 Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and Prediction UAI 2023 Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes ICML 2023