I am a final fifth year PhD student in the Computer Science department at Princeton University where I am fortunate to be advised by Elad Hazan.
My research interest is in machine learning theory and algorithms, more specifically online learning with use cases in areas such as reinforcement learning and control, learning in games, etc. I am also interested in large scale convex and nonconvex optimization.
Prior to joining Princeton, I did my undergrad at MIT majoring in both math (18) and computer science (6-3). My earlier life was based in Yerevan, Armenia mainly competing in contests like IMO and IOI.
Publications/Preprints
* denotes alphabetical order
- Regret Guarantees for Online Deep Control
Xinyi Chen, Edgar Minasyan, Jason D. Lee, Elad Hazan
Learning for Dynamics and Control (L4DC) 2023 - Machine Learning for Mechanical Ventilation Control
Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel Cohen, Elad Hazan
Machine Learning for Health (ML4H) 2021 - Online Control of Unknown Time-Varying Dynamical Systems
Edgar Minasyan, Paula Gradu, Max Simchowitz, Elad Hazan
Neural Information Processing Systems (NeurIPS) 2021 - Adaptive Regret for Control of Time-Varying Dynamics
*Paula Gradu, Elad Hazan, Edgar Minasyan
Learning for Dynamics and Control (L4DC) 2023 - Faster Projection-free Online Learning
*Elad Hazan, Edgar Minasyan
Conference on Learning Theory (COLT) 2020 - Predicate Exchange: Inference with Declarative Knowledge
Zenna Tavares, Javier Burroni, Edgar Minasyan, Armando Solar-Lezama, Rajesh Ranganath
International Conference on Machine Learning (ICML) 2019 - Hockey-Stick GAN
Edgar Minasyan, Vinay Uday Prabhu
International Conference on Learning Representations (ICLR) 2018, workshop track
Talks
- Regret Guarantees for Online Deep Control
Learning for Dynamics and Control (L4DC) in June 2023 - Online Control of Unknown Time-Varying Dynamical Systems
Neural Information Processing Systems (NeurIPS) in December 2021 - Adaptive Regret for Control of Time-Varying Dynamics
Learning for Dynamics and Control (L4DC) in June 2023
Theoretical Foundations of Reinforcement Learning workshop, ICML (Spotlight talk) in June 2020 - Faster Projection-free Online Learning
Conference on Learning Theory (COLT) in July 2020
Princeton Theoretical Machine Learning Seminar in April 2020
Teaching
- Theoretical Machine Learning (COS511)
Teaching Assistant at Princeton University, Fall 2022 - Introduction to Machine Learning (COS324)
Teaching Assistant at Princeton University, Spring 2020 - Theoretical Machine Learning (COS511)
Teaching Assistant at Princeton University, Fall 2019 - Introduction to Machine Learning (6.036)
Teaching Assistant at MIT, Spring 2018 - Introduction to Machine Learning (6.036)
Lab Assistant at MIT, Fall 2017