Publications

2024

  1. Calibrated Propensity Scores for Causal Effect Estimation
    Shachi Deshpande, and Volodymyr Kuleshov
    In Uncertainty in Artificial Intelligence (UAI) , 2024
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    Online Calibrated and Conformal Prediction Improves Bayesian Optimization
    Shachi Deshpande, Charles Marx, and Volodymyr Kuleshov
    In Artificial Intelligence and Statistics (AISTATS) , 2024
  3. Calibrated Regression Against An Adversary Without Regret
    Shachi Deshpande, Charles Marx, and Volodymyr Kuleshov
    2024

2022

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    Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies
    Shachi Deshpande, Kaiwen Wang, Dhruv Sreenivas, and 2 more authors
    In Advances in Neural Information Processing Systems , 2022
  2. Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
    Volodymyr Kuleshov, and Shachi Deshpande
    In International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA , 2022

2017

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    New Genome Similarity Measures based on Conserved Gene Adjacencies
    Daniel Doerr, Luis Antonio Brasil Kowada, Eloi Araujo, and 4 more authors
    J. Comput. Biol., 2017