Blossom Metevier

3 papers · 2019–2022 · 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 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

AAAI (1) ICLR (1) NeurIPS (1)

Top co-authors

Stephen Giguere (2) Yuriy Brun (2) Philip S. Thomas (2) Bruno Castro da Silva (1) Emma Brunskill (1) Philip Thomas (1) Ari Kobren (1) Georgios Theocharous (1) Scott Niekum (1) Sarah Brockman (1)

Research topics

Machine Learning (3) Learning Types (3) Artificial Intelligence (2) Core AI (2) Optimization & Theory (2) Reinforcement Learning (1) Application Areas (1) Methods (1)

Keywords

reinforcement learning (1) algorithmic fairness (1) offline reinforcement learning (1) risk management (1) policy gradient (1) policy learning (1) markov decision process (1) variance reduction (1) machine learning (1) offline learning (1) contextual bandit (1) fairness constraint (1) unfair bia (1) stochastic action set (1) fairness guarantee (1) demographic shift (1) student t-test (1)

Papers

Fairness Guarantees under Demographic Shift ICLR 2022 Reinforcement Learning When All Actions Are Not Always Available AAAI 2020 Offline Contextual Bandits with High Probability Fairness Guarantees NeurIPS 2019