gaussian process

Bayesian Regularization of Latent Representation ICLR 2025 BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL ICLR 2025 Calibrated Computation-Aware Gaussian Processes AISTATS 2025 Causal Discovery via Bayesian Optimization ICLR 2025 Comparing noisy neural population dynamics using optimal transport distances ICLR 2025 Deep Kernel Posterior Learning under Infinite Variance Prior Weights ICLR 2025 Deep Random Features for Scalable Interpolation of Spatiotemporal Data ICLR 2025 Diffusion-aware Censored Gaussian Processes for Demand Modelling IJCAI 2025 Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data ICLR 2025 DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing L4DC 2025 Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders AISTATS 2025 Efficient Top-m Data Values Identification for Data Selection ICLR 2025 Epistemic Uncertainty in Conformal Scores: A Unified Approach UAI 2025 Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes Interspeech 2025 Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields AISTATS 2025 Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting ICLR 2025 From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation AISTATS 2025 Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data AAAI 2025 Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation AISTATS 2025 Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals ICML 2025 High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders ICLR 2025 Hyperband-based Bayesian Optimization for Black-box Prompt Selection ICML 2025 Identifiability for Gaussian Processes with Holomorphic Kernels ICLR 2025 Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance ICML 2025 Kernel Learning for Sample Constrained Black-Box Optimization AAAI 2025