One Model Many Scores: Using Multiverse Analysis to Prevent Fairness
Hacking and Evaluate the Influence of Model Design DecisionsConference on Fairness, Accountability and Transparency (FAccT), 2023 |
Can Fairness be Automated? Guidelines and Opportunities for
Fairness-aware AutoMLJournal of Artificial Intelligence Research (JAIR), 2023 |
Out of Context: Investigating the Bias and Fairness Concerns of
"Artificial Intelligence as a Service"International Conference on Human Factors in Computing Systems (CHI), 2023 |
Multi-Objective Hyperparameter Optimization in Machine Learning -- An
OverviewACM Transactions on Evolutionary Learning and Optimization (TELO), 2022 |
Towards Green Automated Machine Learning: Status Quo and Future
DirectionsJournal of Artificial Intelligence Research (JAIR), 2021 |
Multi-Objective Evolutionary Design of Composite Data-Driven ModelsIEEE Congress on Evolutionary Computation (CEC), 2021 |
Billion-scale similarity search with GPUsIEEE Transactions on Big Data (TBD), 2017 |