Ibrahim, Michael

3 publications

ICLR 2026 A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components Michael Ibrahim, Nagi Gebraeel, Weijun Xie

UAI 2025 FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel, Weijun Xie

CLeaR 2025 The CausalBench Challenge: A Machine Learning Contest for Gene Network Inference from Single-Cell Perturbation Data Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf H Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab