gaussian process

Towards safe multi-task Bayesian optimization L4DC 2024 Transition Constrained Bayesian Optimization via Markov Decision Processes NeurIPS 2024 Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization AAAI 2024 Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024 Uncertainty Estimation with Recursive Feature Machines UAI 2024 Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference L4DC 2024 Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024 Vanilla Bayesian Optimization Performs Great in High Dimensions ICML 2024 Variational Gaussian Process Diffusion Processes AISTATS 2024 Warped Diffusion for Latent Differentiation Inference AISTATS 2024 A Bayesian Take on Gaussian Process Networks NeurIPS 2023 A Corrected Expected Improvement Acquisition Function Under Noisy Observations ACML 2023 ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion ACL 2023 ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation ICCV 2023 Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee ACML 2023 Actually Sparse Variational Gaussian Processes AISTATS 2023 Adaptive Cholesky Gaussian Processes AISTATS 2023 A Framework and Benchmark for Deep Batch Active Learning for Regression JMLR 2023 A Kernel Perspective of Skip Connections in Convolutional Networks ICLR 2023 Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels UAI 2023 A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data AISTATS 2023 An improved variational approximate posterior for the deep Wishart process UAI 2023 A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation ICLR 2023 A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks AAAI 2023 A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness JMLR 2023