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My Phan
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2020 – today
- 2024
- [c5]My Phan, Kianté Brantley, Stephanie Milani, Soroush Mehri, Gokul Swamy, Geoffrey J. Gordon:
When is Transfer Learning Possible? ICML 2024 - 2021
- [c4]My Phan, David Arbour, Drew Dimmery, Anup B. Rao:
Designing Transportable Experiments Under S-admissability. AISTATS 2021: 2539-2547 - [c3]My Phan, Philip S. Thomas, Erik G. Learned-Miller:
Towards Practical Mean Bounds for Small Samples. ICML 2021: 8567-8576 - 2020
- [c2]Aldo Pacchiano, My Phan, Yasin Abbasi-Yadkori, Anup Rao, Julian Zimmert, Tor Lattimore, Csaba Szepesvári:
Model Selection in Contextual Stochastic Bandit Problems. NeurIPS 2020 - [i3]Aldo Pacchiano, My Phan, Yasin Abbasi-Yadkori, Anup Rao, Julian Zimmert, Tor Lattimore, Csaba Szepesvári:
Model Selection in Contextual Stochastic Bandit Problems. CoRR abs/2003.01704 (2020) - [i2]Yasin Abbasi-Yadkori, Aldo Pacchiano, My Phan:
Regret Balancing for Bandit and RL Model Selection. CoRR abs/2006.05491 (2020)
2010 – 2019
- 2019
- [c1]My Phan, Yasin Abbasi-Yadkori, Justin Domke:
Thompson Sampling and Approximate Inference. NeurIPS 2019: 8801-8811 - [i1]My Phan, Yasin Abbasi-Yadkori, Justin Domke:
Thompson Sampling and Approximate Inference. CoRR abs/1908.04970 (2019)
Coauthor Index
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