gaussian process

KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025 Koopman-Equivariant Gaussian Processes AISTATS 2025 Learning Safe Control via On-the-Fly Bandit Exploration ICML 2025 Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes AISTATS 2025 Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals JMLR 2025 Linearization Turns Neural Operators into Function-Valued Gaussian Processes ICML 2025 LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? EMNLP 2025 Mixtures of Gaussian Process Experts with SMC^2 JMLR 2025 Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025 Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks ICML 2025 NAPI-MPC: Neural Accelerated Physics-Informed MPC for Nonlinear PDE Systems L4DC 2025 Neural Point Processes for Pixel-wise Regression AISTATS 2025 No-Regret Bayesian Optimization with Stochastic Observation Failures AISTATS 2025 One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models ACL 2025 Optimizing Posterior Samples for Bayesian Optimization via Rootfinding ICLR 2025 Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness AISTATS 2025 PABBO: Preferential Amortized Black-Box Optimization ICLR 2025 Physics-informed Gaussian Processes as Linear Model Predictive Controller L4DC 2025 Pick-to-Learn and Self-Certified Gaussian Process Approximations AISTATS 2025 Provable weak-to-strong generalization via benign overfitting ICLR 2025 qPOTS: Efficient Batch Multiobjective Bayesian Optimization via Pareto Optimal Thompson Sampling AISTATS 2025 RD-MCSA: A Multi-Class Sentiment Analysis Approach Integrating In-Context Classification Rationales and Demonstrations EMNLP 2025 Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization AAAI 2025 Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization JMLR 2025 Residual Deep Gaussian Processes on Manifolds ICLR 2025