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bayesian prior

24 papers

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Co-occurring keywords

bayesian inference (1907) few-shot learning (3398) neural network (6616) nonparametric prior (11) bayesian optimization (624) transfer learning (5449) semi-supervised learning (2341) gradient-based adaptation (2) face registration (1) multi-image processing (1)

Papers

Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds JMLR 2025
Meta-Learning Neural Mechanisms rather than Bayesian Priors ACL 2025
ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation CVPR 2024
Low Tree-Rank Bayesian Vector Autoregression Models JMLR 2023
The Ordered Matrix Dirichlet for State-Space Models AISTATS 2023
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group AISTATS 2023
Learning a Depth Covariance Function CVPR 2023
Deep Reference Priors: What is the best way to pretrain a model? ICML 2022
Predictive Complexity Priors AISTATS 2021
On Multi-Armed Bandit Designs for Dose-Finding Trials JMLR 2021
Improved Shrinkage Prediction under a Spiked Covariance Structure JMLR 2021
Communication Efficient SGD via Gradient Sampling With Bayes Prior CVPR 2021
Convex Polytope Trees NIPS 2021
The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective NIPS 2021
Knowledge-Adaptation Priors NIPS 2021
Sample Efficient Active Learning of Causal Trees NIPS 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 NIPS 2013
Bayesian Hierarchical Reinforcement Learning NIPS 2012
Repulsive Mixtures NIPS 2012
Heavy-Tailed Process Priors for Selective Shrinkage NIPS 2010
Nonparametric prior for adaptive sparsity AISTATS 2010