Neural Surrogate HMC: Accelerated Hamiltonian Monte Carlo with a Neural Network Surrogate Likelihoodby Linnea M…
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selectionby…
SoftCVI: Contrastive variational inference with self-generated soft labelsby Daniel Ward, Mark Beaumont, Matteo FasioloFirst submitted…
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generationby Jiaxing Zhang, Jiayi Liu,…
Improving Graph Out-of-distribution Generalization on Real-world Databy Can Xu, Yao Cheng, Jianxiang Yu, Haosen Wang,…
Variational Inference via Smoothed Particle Hydrodynamicsby Yongchao HuangFirst submitted to arxiv on: 12 Jul 2024CategoriesMain:…
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Modelsby Daniela de Albuquerque, John PearsonFirst submitted to…
FedLog: Personalized Federated Classification with Less Communication and More Flexibilityby Haolin Yu, Guojun Zhang, Pascal…
Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flowsby Yifan Chen, Daniel Zhengyu Huang,…
Flat Posterior Does Matter For Bayesian Model Averagingby Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon…