Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterizationby Zhenzhang Ye, Gabriel Peyré, Daniel Cremers,…
Stable Training of Normalizing Flows for High-dimensional Variational Inferenceby Daniel AndradeFirst submitted to arxiv on:…
Partial Rankings of Optimizersby Julian Rodemann, Hannah BlocherFirst submitted to arxiv on: 26 Feb 2024CategoriesMain:…
Pretrained Visual Uncertaintiesby Michael Kirchhof, Mark Collier, Seong Joon Oh, Enkelejda KasneciFirst submitted to arxiv…
Distribution-Free Fair Federated Learning with Small Samplesby Qichuan Yin, Zexian Wang, Junzhou Huang, Huaxiu Yao,…
Combining Machine Learning with Computational Fluid Dynamics using OpenFOAM and SmartSimby Tomislav Maric, Mohammed Elwardi…
A Provably Accurate Randomized Sampling Algorithm for Logistic Regressionby Agniva Chowdhury, Pradeep RamuhalliFirst submitted to…
Gradient-enhanced deep Gaussian processes for multifidelity modellingby Viv Bone, Chris van der Heide, Kieran Mackle,…
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysisby Andrea Maracani, Raffaello…
Bayesian Neural Network For Personalized Federated Learning Parameter Selectionby Mengen Luo, Ercan Engin KuruogluFirst submitted…