Jenna Wiens

Venues

Frequent coauthors

Papers

1. A Course Correction in Steerability Evaluation: Revealing Miscalibration and Side Effects in LLMs
   AAAI 2026 ·

   Trenton Chang

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2. Measuring Model Performance in the Presence of an Intervention
   AAAI 2026 ·

   Winston Chen

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3. Cross-Validation for Longitudinal Datasets with Unstable Correlations
   SIGKDD 2025 ·

   Meera Krishnamoorthy

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4. Disentangling misreporting from genuine adaptation in strategic settings: a causal approach
   NeurIPS 2025 ·

   Dylan Zapzalka

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5. Learning Laplacian Positional Encodings for Heterophilous Graphs
   AISTATS 2025 ·

   Michael Ito

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6. Random Search Neural Networks for Efficient and Expressive Graph Learning
   NeurIPS 2025 ·

   Michael Ito

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7. Understanding GNNs and Homophily in Dynamic Node Classification
   AISTATS 2025 ·

   Michael Ito

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8. DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks
   ECCV 2024 ·

   Sarah Jabbour

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9. From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions
   ICML 2024 ·

   Trenton Chang

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10. Learning to Rank for Optimal Treatment Allocation Under Resource Constraints
    AISTATS 2024 ·

    Fahad Kamran

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11. Survival Analysis with Multiple Noisy Labels
    ICDM 2024 ·

    Donna Tjandra

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12. Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation
    NeurIPS 2024 ·

    Trenton Chang

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