Near-Optimal Straggler Mitigation for Distributed Gradient Methods. - Songze Li; Seyed Mohammadreza Mousavi Kalan; Amir Salman Avestimehr; Mahdi Soltanolkotabi (IPDPS Workshops, 2018)

Fundamental Resource Trade-offs for Encoded Distributed Optimization. - Amir Salman Avestimehr; Seyed Mohammadreza Mousavi Kalan; Mahdi Soltanolkotabi (CoRR, 2018)

Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding. - Songze Li; Seyed Mohammadreza Mousavi Kalan; Qian Yu 001; Mahdi Soltanolkotabi; Amir Salman Avestimehr (CoRR, 2018)

Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy. - Qian Yu 001; Songze Li; Netanel Raviv; Seyed Mohammadreza Mousavi Kalan; Mahdi Soltanolkotabi; Amir Salman Avestimehr (AISTATS, 2019)

Fitting ReLUs via SGD and Quantized SGD. - Seyed Mohammadreza Mousavi Kalan; Mahdi Soltanolkotabi; Amir Salman Avestimehr (ISIT, 2019)

Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks. - Seyed Mohammadreza Mousavi Kalan; Zalan Fabian; Salman Avestimehr; Mahdi Soltanolkotabi (NeurIPS, 2020)

Statistical Minimax Lower Bounds for Transfer Learning in Linear Binary Classification. - Seyed Mohammadreza Mousavi Kalan; Mahdi Soltanolkotabi; Amir Salman Avestimehr (ISIT, 2022)