High Dimensional Restrictive Federated Model Selection with
multi-objective Bayesian Optimization over shifted distributions

v1v2 (latest)

High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions

24 February 2019

Florian Pfisterer

Jörg Rahnenführer

ArXiv (abs)PDF HTML

Papers citing "High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions"

7 / 7 papers shown

Title
DomainLab: A modular Python package for domain generalization in deep learning Xudong Sun Carla Feistner Alexej Gossmann George Schwarz Rao Muhammad Umer ... A. Gruber Nutan Chen Sayedali Shetab Boushehri Florian Buettner Carsten Marr OOD 58 0 0 21 Mar 2024
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling Xudong Sun Nutan Chen Alexej Gossmann Yu Xing Carla Feistner ... Felix Drost Daniele Scarcella Lisa Beer Carsten Marr Carsten Marr 104 1 0 20 Mar 2024
Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization Xudong Sun Florian Buettner BDL OOD DRL 57 3 0 23 Jan 2021
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 142 84 0 22 Jul 2020
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning Xudong Sun B. Bischl BDL 65 9 0 25 Aug 2019
Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift Xudong Sun Alexej Gossmann Yu Wang B. Bischl OOD 53 5 0 07 Jun 2019
ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning Xudong Sun Jiali Lin B. Bischl AI4CE BDL TPM 39 11 0 10 Apr 2019