New Genome Similarity Measures based on Conserved Gene Adjacencies. - Daniel Doerr; Luis Antonio Brasil Kowada; Eloi Araujo; Shachi Deshpande; Simone Dantas; Bernard M. E. Moret; Jens Stoye (J. Comput. Biol., 2017)

Calibration Improves Bayesian Optimization. - Shachi Deshpande; Volodymyr Kuleshov (CoRR, 2021)

Calibrated and Sharp Uncertainties in Deep Learning via Simple Density Estimation. - Volodymyr Kuleshov; Shachi Deshpande (CoRR, 2021)

Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation. - Volodymyr Kuleshov; Shachi Deshpande (ICML, 2022)

Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies. - Shachi Deshpande; Kaiwen Wang; Dhruv Sreenivas; Zheng Li; Volodymyr Kuleshov (NeurIPS, 2022)

Multi-Modal Causal Inference with Deep Structural Equation Models. - Shachi Deshpande; Zheng Li; Volodymyr Kuleshov (CoRR, 2022)

Online Calibrated Regression for Adversarially Robust Forecasting. - Volodymyr Kuleshov; Shachi Deshpande (CoRR, 2023)

Calibrated Propensity Scores for Causal Effect Estimation. - Shachi Deshpande; Volodymyr Kuleshov (CoRR, 2023)

Online Calibrated and Conformal Prediction Improves Bayesian Optimization. - Shachi Deshpande; Charles Marx; Volodymyr Kuleshov (AISTATS, 2024)

Calibrated and Conformal Propensity Scores for Causal Effect Estimation. - Shachi Deshpande; Volodymyr Kuleshov (UAI, 2024)

Calibrated Regression Against An Adversary Without Regret. - Shachi Deshpande; Charles Marx; Volodymyr Kuleshov (UAI, 2025)