Mohammadreza M. Kalan

According to our database, Mohammadreza M. Kalan authored at least 12 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Neyman-Pearson Classification under Both Null and Alternative Distributions Shift.

Mohammadreza M. Kalan, Yuyang Deng, Eitan J. Neugut, Samory Kpotufe

CoRR, November, 2025

Concentration and excess risk bounds for imbalanced classification with synthetic oversampling.

Touqeer Ahmad, Mohammadreza M. Kalan, François Portier, Gilles Stupfler

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Transfer Neyman-Pearson Algorithm for Outlier Detection.

Mohammadreza M. Kalan, Eitan J. Neugut, Samory Kpotufe

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Distribution-Free Rates in Neyman-Pearson Classification.

Mohammadreza M. Kalan, Samory Kpotufe

CoRR, 2024

Tight Rates in Supervised Outlier Transfer Learning.

Mohammadreza M. Kalan, Samory Kpotufe

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Statistical Minimax Lower Bounds for Transfer Learning in Linear Binary Classification.

Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2022

2020

Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks.

Seyed Mohammadreza Mousavi Kalan, Zalan Fabian, Salman Avestimehr, Mahdi Soltanolkotabi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Fitting ReLUs via SGD and Quantized SGD.

Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2019

Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy.

Qian Yu, Songze Li, Netanel Raviv, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding.

Songze Li, Seyed Mohammadreza Mousavi Kalan, Qian Yu, Mahdi Soltanolkotabi, Amir Salman Avestimehr

CoRR, 2018

Fundamental Resource Trade-offs for Encoded Distributed Optimization.

Amir Salman Avestimehr, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi

CoRR, 2018

Near-Optimal Straggler Mitigation for Distributed Gradient Methods.

Songze Li, Seyed Mohammadreza Mousavi Kalan, Amir Salman Avestimehr, Mahdi Soltanolkotabi

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018