bayesian prior

Meta-Learning Neural Mechanisms rather than Bayesian Priors ACL 2025 Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds JMLR 2025 The VampPrior Mixture Model AISTATS 2025 Critical feature learning in deep neural networks ICML 2024 ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation CVPR 2024 Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography ICLR 2023 Learning a Depth Covariance Function CVPR 2023 Low Tree-Rank Bayesian Vector Autoregression Models JMLR 2023 Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group AISTATS 2023 The Ordered Matrix Dirichlet for State-Space Models AISTATS 2023 Deep Reference Priors: What is the best way to pretrain a model? ICML 2022 Communication Efficient SGD via Gradient Sampling With Bayes Prior CVPR 2021 Convex Polytope Trees NeurIPS 2021 Improved Shrinkage Prediction under a Spiked Covariance Structure JMLR 2021 Knowledge-Adaptation Priors NeurIPS 2021 On Multi-Armed Bandit Designs for Dose-Finding Trials JMLR 2021 Predictive Complexity Priors AISTATS 2021 The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective NeurIPS 2021 Sample Efficient Active Learning of Causal Trees NeurIPS 2019 Learning Priors for Invariance AISTATS 2018 Adapting Topic Models using Lexical Associations with Tree Priors EMNLP 2017 Robust Multi-Image Based Blind Face Hallucination CVPR 2015 Restricting exchangeable nonparametric distributions NeurIPS 2013 Bayesian Hierarchical Reinforcement Learning NeurIPS 2012 Repulsive Mixtures NeurIPS 2012