Naive algorithmic collusion: when do bandit learners cooperate and when do they compete?
Proceedings of International Conference on Information Systems 2024 (forthcoming) (2024)
Posts by Collection
portfolio
Computing an Optimal Pitching Strategy in a Baseball At-Bat
Proceedings of FLAIRS-36 Conference (2023)
Techniques for Abstraction of Unstructured Clinical Trial Health Data
U.S. Patent Office Filing (PCT/US22/30369) (2022)
An Optimized Approach to Vaccine Clinic Placement
CSE 543 Course Project
Label TAG (Temporal AGgregation): Capturing Dynamic Learning Ability in Label Aggregation
CSE 518 Course Project
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
Download Paper | Download Slides
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
Download Paper | Download Slides
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
Download Paper | Download Slides
Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Download Paper
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Data Structures and Algorithms (CSE 247)
Teaching Assistant, Washington University in St. Louis, 2019
Introduction to Econometrics (Econ 413)
Teaching Assistant, Washington University in St. Louis, 2022
Intro to Data Science (MBA)
Teaching Fellow, NYU Stern School of Business, 2024
Data Science PhD Seminar (Guest Lecture)
Guest lecture on multi-armed bandits and reinforcement learning, NYU Stern School of Business, 2024
Intro to Analytics and Artificial Intelligence (MSBA)
Teaching Fellow, NYU Stern School of Business, 2024
Microeconomics (with Algebra)
Teaching Fellow, NYU Stern School of Business, 2024