My Phan

5 papers · 2019–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird ❓ The Questioner

Venues

ICML (2) NeurIPS (2) AISTATS (1)

Top co-authors

Anup Rao (2) Yasin Abbasi Yadkori (2) Geoffrey J. Gordon (1) Stephanie Milani (1) Julian Zimmert (1) Soroush Mehri (1) Tor Lattimore (1) Philip Thomas (1) Kianté Brantley (1) Erik Learned-Miller (1)

Research topics

Machine Learning (4) Optimization & Theory (3) Artificial Intelligence (2) Core AI (2) Learning Types (2) Application Areas (1) Bayesian & Probabilistic (1) Learning Paradigms (1)

Keywords

regret bound (2) stochastic optimization (1) causal inference (1) model selection (1) online learning (1) approximate inference (1) transfer learning (1) online decision making (1) covariate shift (1) experimental design (1) importance weighting (1) thompson sampling (1) multi-armed bandit (1) contextual bandit (1) confidence interval (1) structural causal model (1) layer freezing (1) causal model (1) average treatment effect (1) efficient learning (1)

Papers

When is Transfer Learning Possible? ICML 2024 Designing Transportable Experiments Under S-admissability AISTATS 2021 Towards Practical Mean Bounds for Small Samples ICML 2021 Model Selection in Contextual Stochastic Bandit Problems NeurIPS 2020 Thompson Sampling and Approximate Inference NeurIPS 2019