I am a third 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 }

- Adaptive Regret for Control of Time-Varying Dynamics

*Paula Gradu, Elad Hazan, Edgar Minasyan

*Preprint* - Faster Projection-free Online Learning

*Elad Hazan, Edgar Minasyan

*COLT 2020* - Predicate Exchange: Inference with Declarative Knowledge

Zenna Tavares, Javier Burroni, Edgar Minasyan, Armando Solar-Lezama, Rajesh Ranganath

*ICML 2019* - Hockey-Stick GAN

Edgar Minasyan, Vinay Uday Prabhu

*ICLR 2018*, workshop track

**Talks**

- Adaptive Regret for Control of Time-Varying Dynamics (
**Spotlight talk**)

*Theoretical Foundations of Reinforcement Learning*workshop,*ICML*2020 in June 2020 - Faster Projection-free Online Learning

*COLT*2020 in July 2020

Princeton Theoretical Machine Learning Seminar in April 2020

**Teaching**

- Introduction to Machine Learning (COS324)

*Teaching Assistant*at Princeton University - Theoretical Machine Learning (COS511)

*Teaching Assistant*at Princeton University - Introduction to Machine Learning (6.036)

*Teaching Assistant*at MIT - Introduction to Machine Learning (6.036)

*Lab Assistant*at MIT