DONE: Distributed Newton-type Method for Federated Edge Learning. - Canh T. Dinh; Nguyen Hoang Tran; Tuan Dung Nguyen; Wei Bao 001; Amir Rezaei Balef (CoRR, 2020)

Accelerating Federated Edge Learning. - Tuan Dung Nguyen; Amir Rezaei Balef; Canh T. Dinh; Nguyen Hoang Tran; Duy T. Ngo; Tuan Anh Le; Phuong Luu Vo (IEEE Commun. Lett., 2021)

DONE: Distributed Approximate Newton-type Method for Federated Edge Learning. - Canh T. Dinh; Nguyen Hoang Tran; Tuan Dung Nguyen; Wei Bao 001; Amir Rezaei Balef; Bing Bing Zhou; Albert Y. Zomaya (IEEE Trans. Parallel Distributed Syst., 2022)

Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards. - Steven Bilaj; Amir Rezaei Balef; Setareh Maghsudi (ECAI, 2023)

Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards. - Behzad Nourani-Koliji; Steven Bilaj; Amir Rezaei Balef; Setareh Maghsudi (CoRR, 2023)

Piecewise-Stationary Multi-Objective Multi-Armed Bandit With Application to Joint Communications and Sensing. - Amir Rezaei Balef; Setareh Maghsudi (IEEE Wirel. Commun. Lett., 2023)

AMLTK: A Modular AutoML Toolkit in Python. - Edward Bergman; Matthias Feurer; Aron Bahram; Amir Rezaei Balef; Lennart Purucker; Sarah Segel; Marius Lindauer; Frank Hutter; Katharina Eggensperger (J. Open Source Softw., 2024)

Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning. - Amir Rezaei Balef; Claire Vernade; Katharina Eggensperger (CoRR, 2025)

In-Context Decision Making for Optimizing Complex AutoML Pipelines. - Amir Rezaei Balef; Katharina Eggensperger (CoRR, 2025)