gaussian process

Autonomous Navigation, Mapping and Exploration with Gaussian Processes RSS 2023 Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors JMLR 2023 Bayesian Learning via Q-Exponential Process NeurIPS 2023 Bayesian online change point detection with Hilbert space approximate Student-t process ICML 2023 Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings AISTATS 2023 Bayesian Optimization with Cost-varying Variable Subsets NeurIPS 2023 Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees JMLR 2023 Benefits of monotonicity in safe exploration with Gaussian processes UAI 2023 Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation NeurIPS 2023 Causal Modeling of Policy Interventions From Treatment-Outcome Sequences ICML 2023 CICL_DMS at SemEval-2023 Task 11: Learning With Disagreements (Le-Wi-Di) SemEval 2023 Cluster-Specific Predictions with Multi-Task Gaussian Processes JMLR 2023 CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra NeurIPS 2023 Constrained Causal Bayesian Optimization ICML 2023 Constrained Efficient Global Optimization of Expensive Black-box Functions ICML 2023 Contextual Gaussian Process Bandits with Neural Networks NeurIPS 2023 ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion NeurIPS 2023 Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications NeurIPS 2023 Deep Variational Implicit Processes ICLR 2023 DialoGPS: Dialogue Path Sampling in Continuous Semantic Space for Data Augmentation in Multi-Turn Conversations ACL 2023 Disentangling Voice and Content with Self-Supervision for Speaker Recognition NeurIPS 2023 Distilling knowledge from Gaussian process teacher to neural network student Interspeech 2023 DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization NeurIPS 2023 Efficient Exploration in Continuous-time Model-based Reinforcement Learning NeurIPS 2023 Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs NeurIPS 2023