Thompson Sampling and Approximate Inference. - My Phan; Yasin Abbasi-Yadkori; Justin Domke (NeurIPS, 2019)

Model Selection in Contextual Stochastic Bandit Problems. - Aldo Pacchiano; My Phan; Yasin Abbasi-Yadkori; Anup Rao 002; Julian Zimmert; Tor Lattimore; Csaba Szepesvári (NeurIPS, 2020)

Regret Balancing for Bandit and RL Model Selection. - Yasin Abbasi-Yadkori; Aldo Pacchiano; My Phan (CoRR, 2020)

Designing Transportable Experiments Under S-admissability. - My Phan; David Arbour; Drew Dimmery; Anup B. Rao (AISTATS, 2021)

Towards Practical Mean Bounds for Small Samples. - My Phan; Philip S. Thomas; Erik G. Learned-Miller (ICML, 2021)

When is Transfer Learning Possible? - My Phan; Kianté Brantley; Stephanie Milani; Soroush Mehri; Gokul Swamy; Geoffrey J. Gordon (ICML, 2024)