Publications

2023

  1. Calibrated Uncertainty Estimation Improves Bayesian Optimization
    Shachi Deshpande, and Volodymyr Kuleshov
    2023
  2. Online Calibrated Regression for Adversarially Robust Forecasting
    Volodymyr Kuleshov, and Shachi Deshpande
    2023

2022

  1. 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

  1. 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