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Prachi Badarayani
Researcher, Microsoft
Joined
May 2021
Names
Prachi Badarayani
(Preferred)
,
Shachi Deshpande
Emails
****@cornell.edu
(Confirmed)
,
****@microsoft.com
(Confirmed)
,
****@iitb.ac.in
(Confirmed)
,
****@microsoft.com
(Confirmed)
,
****@cs.cornell.edu
(Confirmed)
,
****@cse.iitb.ac.in
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Semantic Scholar
Career & Education History
Researcher
Microsoft
(microsoft.com)
2025
–
Present
PhD student
Computer Science,
Department of Computer Science, Cornell University
(cs.cornell.edu)
2018
–
2025
PhD student
Computer Science,
Cornell University
(cornell.edu)
2018
–
2025
Intern
Computer Science,
Microsoft
(microsoft.com)
2019
–
2019
Undergrad student
Microsoft,
Indian Institute of Technology Bombay, Indian Institute of Technology Bombay
(cse.iitb.ac.in)
2014
–
2018
Advisors, Relations & Conflicts
No relations added
Expertise
Machine Learning
,
Uncertainty
2019
–
2025
Databases and Information Systems
2017
–
2019
Publications
Calibrated Regression Against An Adversary Without Regret
Shachi Deshpande
,
Charles Marx
,
Volodymyr Kuleshov
UAI 2025 Poster
Readers:
Everyone
Calibrated Regression Against An Adversary Without Regret
Shachi Deshpande
,
Charles Marx
,
Volodymyr Kuleshov
UAI 2025
Readers:
Everyone
Calibrated and Conformal Propensity Scores for Causal Effect Estimation
Shachi Deshpande
,
Volodymyr Kuleshov
UAI 2024 poster
Readers:
Everyone
Calibrated and Conformal Propensity Scores for Causal Effect Estimation
Shachi Deshpande
,
Volodymyr Kuleshov
UAI 2024
Readers:
Everyone
Online Calibrated and Conformal Prediction Improves Bayesian Optimization
Shachi Deshpande
,
Charles Marx
,
Volodymyr Kuleshov
AISTATS 2024
Readers:
Everyone
Calibrated Propensity Scores for Causal Effect Estimation
Shachi Deshpande
,
Volodymyr Kuleshov
CoRR 2023
Readers:
Everyone
Online Calibrated Regression for Adversarially Robust Forecasting
Volodymyr Kuleshov
,
Shachi Deshpande
2023 (modified: 25 Apr 2023)
CoRR 2023
Readers:
Everyone
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies
Shachi Deshpande
,
Kaiwen Wang
,
Dhruv Sreenivas
,
Zheng Li
,
Volodymyr Kuleshov
Published: 31 Oct 2022, Last Modified: 14 Dec 2022
NeurIPS 2022 Accept
Readers:
Everyone
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
Volodymyr Kuleshov
,
Shachi Deshpande
2022 (modified: 25 Apr 2023)
ICML 2022
Readers:
Everyone
Multi-Modal Causal Inference with Deep Structural Equation Models
Shachi Deshpande
,
Zheng Li
,
Volodymyr Kuleshov
2022 (modified: 25 Apr 2023)
CoRR 2022
Readers:
Everyone
View all 15 publications
Co-Authors
Bernard M. E. Moret
Charles Marx
Daniel Doerr
Dhruv Sreenivas
Eloi Araujo
Jens Stoye
Kaiwen Wang
Luis Antonio Brasil Kowada
Simone Dantas
Volodymyr Kuleshov
Zheng Li