You can also find my articles on my Google Scholar profile.
Published in Advances in Neural Information Processing Systems (NeurIPS 2026), 2026
Accepted at NeurIPS 2026. arXiv
Recommended citation: Pouria Fatemi, Hoomaan Maskan, Suvrit Sra, and Peyman Mohajerin Esfahani. "Tight Generalization Bounds for Noiseless Inverse Optimization." Advances in Neural Information Processing Systems (NeurIPS), 2026. https://arxiv.org/abs/2605.08866
Published in Advances in Neural Information Processing Systems (NeurIPS 2026), 2026
Accepted at NeurIPS 2026. *Equal contribution. arXiv
Recommended citation: Pouria Fatemi*, Hoomaan Maskan*, Alp Yurtsever, and Suvrit Sra. "The Multi-Block DC Function Class: Theory, Algorithms, and Applications." Advances in Neural Information Processing Systems (NeurIPS), 2026. (*Equal contribution) https://arxiv.org/abs/2604.17560
Published in NeurIPS 2026 Second Workshop on MLxOR, 2026
Workshop paper at the NeurIPS 2026 Second Workshop on MLxOR.
Recommended citation: Xuhui Zhang, Hoomaan Maskan, Alp Yurtsever, and Suvrit Sra. "Toward Distributionally Robust Decision Focused Learning." NeurIPS 2026 Second Workshop on MLxOR, 2026.
Published in Advances in Neural Information Processing Systems (NeurIPS 2025), 2025
Recommended citation: Hoomaan Maskan, Yikun Hou, Suvrit Sra, and Alp Yurtsever. "Revisiting Frank-Wolfe for Structured Nonconvex Optimization." Advances in Neural Information Processing Systems (NeurIPS), 2025. https://openreview.net/forum?id=hJRklWq4Ah
Published in EURO Journal on Computational Optimization, 2025
Recommended citation: Hoomaan Maskan, Paniz Halvachi, Suvrit Sra, and Alp Yurtsever. "Randomized Block Coordinate DC Algorithm." EURO Journal on Computational Optimization, 13:100123, 2025. https://www.sciencedirect.com/science/article/pii/S2192440625000206
Published in Advances in Neural Information Processing Systems (NeurIPS 2023), 2023
Recommended citation: Hoomaan Maskan, Konstantinos C. Zygalakis, and Alp Yurtsever. "A Variational Perspective on High-Resolution ODEs." Advances in Neural Information Processing Systems (NeurIPS), 36, 2023. https://proceedings.neurips.cc/paper_files/paper/2023/hash/0569458210c88d8db2985799da830d27-Abstract-Conference.html
Published in Signal Processing, 2023
In this paper, we consider the demixing of sines and spiky noises.
Recommended citation: Hoomaan Maskan, Sajad Daei, and Mohammad Hossein Kahaei. "Demixing sines and spikes using multiple measurement vectors." Signal Processing, 203:108786, 2023. https://www.sciencedirect.com/science/article/pii/S0165168422003255
Published in IEEE Wireless Communications Letters, 2021
In this letter, we represent the data model of a wideband DOA estimation problem in a new form. Then, using this model, we propose an atomic norm minimization problem that leads to an accurate wideband DOA estimation method with no need for any focusing matrices.
Recommended citation: Milad Javadzadeh Jirhandeh, Hoomaan Hezaveh, and Mohammad Hossein Kahaei. "Super-resolution DOA estimation for wideband signals using non-uniform linear arrays with no focusing matrix." IEEE Wireless Communications Letters, 11(3):641–644, 2022. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9665751
Published in IEEE Signal Processing Letters, 2020
This paper is about sparse blind deconvolution recovery when sampling instances are not integers and Fourier basis is not applicable.
Recommended citation: Hoomaan Hezave, Milad Javadzadeh, and Mohammad Hossein Kahaei. "Sparse signal reconstruction using blind super-resolution with arbitrary sampling." IEEE Signal Processing Letters, 27:615–619, 2020. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9066889
Published in IET Communications, 2020
This paper is about incorporation of prior knowledge for a more accurate channel estimation.
Recommended citation: Hoomaan Hezaveh, Iman Valiulahi, and Mohammad Hossein Kahaei. "Incorporation of prior knowledge into sparse time dispersive OFDM channel estimation via weighted atomic norm minimisation." IET Communications, 14(11):1704–1708, 2020. https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-com.2019.0430