Sobhan Miryoosefi

I am a Software Engineer at Google Research NYC. In 2022, I completed my PhD in Computer Science at Princeton University under the supervision of Prof. Chi Jin and Prof. Robert Schapire. Before joining Princeton University, I finished my B.Sc. in Computer Engineering at the Sharif University of Technology, Iran. Here is my CV:     .



Research

I am primarily interested in theoretical and applied machine learning and related areas. More specifically, I am interested in data-driven sequential decison making such as reinforcement learning, and online learning.

Education

Princeton University logoPh.D. in Computer Science (2017-2022)
Princeton University, Princeton
Advisor: Prof. Chi Jin and Prof. Robert Schapire


Princeton University logoM.A. in Computer Science (2017-2019)
Princeton University, Princeton
Advisor: Prof. Yoram Singer and Prof. Robert Schapire


Sharif University of Technology logoB.Sc. in Computer Engineering (2013-2017)
Sharif University of Technology, Tehran
Major: Software Eningeering


Experience


Google logo Software Engineer July 2022 - present
Google Research NYC


Google logo Research Intern Fall 2021
Google Research NYC


Snap logo Research Intern Summer 2021
Ad-ranking, Snap Inc.


Princeton University logo Research Assistant 2017-2022
Department of Computer Science, Princeton University


Princeton University logo Teaching Assistant 2017-2022
Department of Computer Science, Princeton University


Bazaar logo Software Engineering Intern - Summer 2016
Fraud Detection Group, Cafe Bazaar


Publications

NIPS logo Reinforcement Learning with Convex Constraints
Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudik, Robert Schapire
Conference on Neural Information Processing Systems (NeurIPS), 2019
PDF (NeurIPS 2019) Abstract Poster Code Bibtex



NIPS logo Constrained episodic reinforcement learning in concave-convex and knapsack settings
(by alphabetical order) Kianté Brantley, Miroslav Dudik, Thodoris Lykouris, Sobhan Miryoosefi, Max Simchowitz, Aleksandrs Slivkins, Wen Sun
Conference on Neural Information Processing Systems (NeurIPS), 2020
PDF (NeurIPS 2020) Abstract Poster Code Bibtex



NIPS logo Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
(by alphabetical order) Chi Jin, Qinghua Liu, Sobhan Miryoosefi
Conference on Neural Information Processing Systems (NeurIPS), 2021
PDF (NeurIPS 2021) Abstract Bibtex



arXiv logo A Simple Reward-free Approach to Constrained Reinforcement Learning
Sobhan Miryoosefi, Chi Jin
International Conference on Machine Learning (ICML), 2022
PDF (ICML 2022) Abstract Poster Slides Bibtex



arXiv logo Provable Reinforcement Learning with a Short-Term Memory
(by alphabetical order) Yonathan Efroni, Chi Jin, Akshay Krishnamurthy, Sobhan Miryoosefi
International Conference on Machine Learning (ICML), 2022
PDF (ICML 2022) Abstract Bibtex