Jackie Kay

3 papers · 2020–2025 · 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 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird ❓ The Questioner

Venues

CoRL (1) ICLR (1) NAACL (1)

Top co-authors

Jost Tobias Springenberg (2) Rae Jeong (2) Kenza Benkirane (1) Dan Zheng (1) Martin Riedmiller (1) Timothy Mann (1) Nicolas Heess (1) Alexandre Galashov (1) Daniel J. Mankowitz (1) Todd Hester (1)

Research topics

Machine Learning (2) Reinforcement Learning (2) Application Areas (2) Applications (2) Artificial Intelligence (1) Healthcare & Medicine (1) Clinical (1) Core AI (1) Methods (1) Optimization & Theory (1)

Keywords

offline reinforcement learning (1) policy optimization (1) model misspecification (1) bias detection (1) robust reinforcement learning (1) importance sampling (1) policy iteration (1) continuous control (1) off-policy learning (1) entropy regularization (1) bias mitigation (1) counterfactual reasoning (1) sub-optimal expert (1) clinical decision-making (1) dexterous manipulation (1) gender bia (1) large language model (1) ethnicity bia (1) counterfactual variation (1)

Papers

How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making? NAACL 2025 Learning Dexterous Manipulation from Suboptimal Experts CoRL 2020 Robust Reinforcement Learning for Continuous Control with Model Misspecification ICLR 2020