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Jenna Wiens

12 papers at tracked venues · 7 at CORE A* · active 2024–2026

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Venues

AISTATS ×3NeurIPS ×3AAAI ×2ECCV ×1ICDM ×1ICML ×1SIGKDD ×1

Frequent coauthors

Trenton Chang
×4
Michael W. Sjoding
×3
Maggie Makar
×3
Michael Ito
×3
Danai Koutra
×3
Lindsay A. Warrenburg
×2
Sae-Hwan Park
×2
Ravi B. Parikh
×2
Tobias Schnabel
×1
Adith Swaminathan
×1
Winston Chen
×1
Meera Krishnamoorthy
×1

Papers

  1. A Course Correction in Steerability Evaluation: Revealing Miscalibration and Side Effects in LLMs
    AAAI 2026 ·
    Trenton Chang
    ,
    Tobias Schnabel
    ,
    Adith Swaminathan
    , Jenna Wiens
  2. Measuring Model Performance in the Presence of an Intervention
    AAAI 2026 ·
    Winston Chen
    ,
    Michael W. Sjoding
    , Jenna Wiens
  3. Cross-Validation for Longitudinal Datasets with Unstable Correlations
    SIGKDD 2025 ·
    Meera Krishnamoorthy
    ,
    Michael W. Sjoding
    , Jenna Wiens
  4. Disentangling misreporting from genuine adaptation in strategic settings: a causal approach
    NeurIPS 2025 ·
    Dylan Zapzalka
    ,
    Trenton Chang
    ,
    Lindsay A. Warrenburg
    ,
    Sae-Hwan Park
    ,
    Daniel K. Shenfeld
    ,
    Ravi B. Parikh
    , Jenna Wiens,
    Maggie Makar
  5. Learning Laplacian Positional Encodings for Heterophilous Graphs
    AISTATS 2025 ·
    Michael Ito
    ,
    Jiong Zhu
    ,
    Dexiong Chen
    ,
    Danai Koutra
    , Jenna Wiens
  6. Random Search Neural Networks for Efficient and Expressive Graph Learning
    NeurIPS 2025 ·
    Michael Ito
    ,
    Danai Koutra
    , Jenna Wiens
  7. Understanding GNNs and Homophily in Dynamic Node Classification
    AISTATS 2025 ·
    Michael Ito
    ,
    Danai Koutra
    , Jenna Wiens
  8. DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks
    ECCV 2024 ·
    Sarah Jabbour
    ,
    Gregory Kondas
    ,
    Ella Kazerooni
    ,
    Michael W. Sjoding
    ,
    David Fouhey
    , Jenna Wiens
  9. From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions
    ICML 2024 ·
    Trenton Chang
    , Jenna Wiens
  10. Learning to Rank for Optimal Treatment Allocation Under Resource Constraints
    AISTATS 2024 ·
    Fahad Kamran
    ,
    Maggie Makar
    , Jenna Wiens
  11. Survival Analysis with Multiple Noisy Labels
    ICDM 2024 ·
    Donna Tjandra
    , Jenna Wiens
  12. Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation
    NeurIPS 2024 ·
    Trenton Chang
    ,
    Lindsay A. Warrenburg
    ,
    Sae-Hwan Park
    ,
    Ravi B. Parikh
    ,
    Maggie Makar
    , Jenna Wiens