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Angela Zhou

12 papers · 2018–2024 · 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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+3 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (17)
🌟 Keyword Trendsetter Combo (4) 🧭 Keyword Pioneer πŸ’Ž Century Club Β· Bronze

Venues

NeurIPS (7) AISTATS (4) ICML (1)

Top co-authors

Nathan Kallus (8) Michael I. Jordan (2) Yixin Wang (1) Xiaojie Mao (1) Wenshuo Guo (1)

Research topics

Artificial Intelligence (9) Machine Learning (9) Core AI (9) Application Areas (6) Reinforcement Learning (5) Learning Types (4) Methods (4) Optimization & Theory (4) Knowledge & Reasoning (3) Reasoning (3) Applications (1)

Keywords

causal inference (8) off-policy evaluation (3) fair machine learning (2) policy evaluation (2) contextual bandit (2) policy optimization (2) doubly robust estimation (2) unobserved confounding (2) disparate impact (2) sensitivity analysis (2) doubly robust (2) markov decision process (2) fitted value iteration (1) bandit feedback (1) robust estimation (1) linear function approximation (1) policy learning (1) fairness metric (1) fitted q-iteration (1) inverse probability weighting (1)

Papers

Reward-Relevance-Filtered Linear Offline Reinforcement Learning AISTATS 2024 Optimal and Fair Encouragement Policy Evaluation and Learning NeurIPS 2023 Empirical Gateaux Derivatives for Causal Inference NeurIPS 2022 Off-Policy Evaluation with Policy-Dependent Optimization Response NeurIPS 2022 Stateful Offline Contextual Policy Evaluation and Learning AISTATS 2022 Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning NeurIPS 2020 Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds NeurIPS 2019 Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding AISTATS 2019 The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the XAUC Metric NeurIPS 2019 Confounding-Robust Policy Improvement NeurIPS 2018 Policy Evaluation and Optimization with Continuous Treatments AISTATS 2018 Residual Unfairness in Fair Machine Learning from Prejudiced Data ICML 2018