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Bryan Wilder

16 papers at tracked venues · 11 at CORE A* · active 2024–2026

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Venues

AAAI ×3ICLR ×3NeurIPS ×3ICML ×2UAI ×2AISTATS ×1COLT ×1EMNLP ×1

Frequent coauthors

Santiago Cortes-Gomez
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Ananya Joshi
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Kevin Ren
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Yewon Byun
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Vibhhu Sharma
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Khurram Yamin
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Maitreyi Swaroop
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Justin Whitehouse
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Lily Xu
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Sanket Shah
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Papers

  1. Reducing Alert Fatigue Through AI Ranking: A Deployed Public Health Data Monitoring System
    AAAI 2026 ·
    Ananya Joshi
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  2. Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources
    ICLR 2025 ·
    Vibhhu Sharma
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  3. Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects
    ICML 2025 ·
    Santiago Cortes-Gomez
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  4. Dependent Randomized Rounding for Budget Constrained Experimental Design
    UAI 2025 ·
    Khurram Yamin
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  5. Distributionally Robust Feature Selection
    NeurIPS 2025 ·
    Maitreyi Swaroop
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  6. Fostering the Ecosystem of AI for Social Impact Requires Expanding and Strengthening Evaluation Standards
    NeurIPS 2025 · Bryan Wilder
  7. Orthogonal Causal Calibration (Extended Abstract)
    COLT 2025 ·
    Justin Whitehouse
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  8. Predicting Language Models' Success at Zero-Shot Probabilistic Prediction
    EMNLP 2025 ·
    Kevin Ren
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  9. Reinforcement learning with combinatorial actions for coupled restless bandits
    ICLR 2025 ·
    Lily Xu
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  10. Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification
    ICLR 2025 ·
    Santiago Cortes-Gomez
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  11. Valid Inference with Imperfect Synthetic Data
    NeurIPS 2025 ·
    Yewon Byun
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  12. Auditing Fairness under Unobserved Confounding
    AISTATS 2024 ·
    Yewon Byun
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  13. Decision-Focused Evaluation of Worst-Case Distribution Shift
    UAI 2024 ·
    Kevin Ren
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  14. Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize
    AAAI 2024 ·
    Sanket Shah
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  15. Outlier Ranking for Large-Scale Public Health Data
    AAAI 2024 ·
    Ananya Joshi
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  16. Statistical Inference Under Constrained Selection Bias
    ICML 2024 ·
    Santiago Cortes-Gomez
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