prior information

Bayesian Hierarchical Invariant Prediction CLeaR 2026 Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits AISTATS 2025 Bayesian Diffusion Models for 3D Shape Reconstruction CVPR 2024 Incorporating Information into Shapley Values: Reweighting via a Maximum Entropy Approach ICML 2024 PaReNeRF: Toward Fast Large-scale Dynamic NeRF with Patch-based Reference CVPR 2024 Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation CVPR 2024 Fundamental Tradeoffs in Learning with Prior Information ICML 2023 Diffusion-based Molecule Generation with Informative Prior Bridges NeurIPS 2022 On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms NeurIPS 2021 Learning Nonparametric Forest Graphical Models with Prior Information AISTATS 2017 Knowledge Matters: Importance of Prior Information for Optimization JMLR 2016 Efficient Partial Monitoring with Prior Information NeurIPS 2014 Structured Denoising Autoencoder for Fault Detection and Analysis ACML 2014 Guided Monte Carlo Tree Search for Planning in Learned Environments ACML 2013 Hierarchical Penalization NeurIPS 2007 Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains JMLR 2003