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Posts

Future Blog Post

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Published: January 01, 2199

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Blog Post number 1

less than 1 minute read

Published: August 14, 2012

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

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publications

Incorporation of prior knowledge into sparse time dispersive OFDM channel estimation via weighted atomic norm minimisation

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

Sparse Signal Reconstruction using Blind Super-resolution with Arbitrary Sampling

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

Super-resolution DOA estimation for wideband signals using non-uniform linear arrays with no focusing matrix

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

Demixing sines and spikes using multiple measurement vectors

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

A Variational Perspective on High-Resolution ODEs

Published in Advances in Neural Information Processing Systems (NeurIPS 2023), 2023

Paper (NeurIPS proceedings)

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

Randomized Block Coordinate DC Algorithm

Published in EURO Journal on Computational Optimization, 2025

Paper (journal) · arXiv

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

Revisiting Frank-Wolfe for Structured Nonconvex Optimization

Published in Advances in Neural Information Processing Systems (NeurIPS 2025), 2025

Paper (OpenReview) · arXiv

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

Toward Distributionally Robust Decision Focused Learning

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.

The Multi-Block DC Function Class: Theory, Algorithms, and Applications

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

Tight Generalization Bounds for Noiseless Inverse Optimization

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