Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Shalmali Joshi

Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty


Sep 13, 2021
Shalmali Joshi, Sonali Parbhoo, Finale Doshi-Velez


  Access Paper or Ask Questions

Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing


Aug 27, 2021
Sindhu C. M. Gowda, Shalmali Joshi, Haoran Zhang, Marzyeh Ghassemi

* Published in CIKM 2021 

  Access Paper or Ask Questions

On the Connections between Counterfactual Explanations and Adversarial Examples


Jun 18, 2021
Martin Pawelczyk, Shalmali Joshi, Chirag Agarwal, Sohini Upadhyay, Himabindu Lakkaraju


  Access Paper or Ask Questions

An Empirical Framework for Domain Generalization in Clinical Settings


Apr 15, 2021
Haoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi

* Published at ACM CHIL 2021 

  Access Paper or Ask Questions

Learning Under Adversarial and Interventional Shifts


Mar 29, 2021
Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez, Himabindu Lakkaraju

* 19 pages including 5 pages appendix, 6 figures, 2 tables. Preliminary version presented at Causal Discovery & Causality-Inspired Machine Learning Workshop 2020 

  Access Paper or Ask Questions

Towards Robust and Reliable Algorithmic Recourse


Feb 26, 2021
Sohini Upadhyay, Shalmali Joshi, Himabindu Lakkaraju


  Access Paper or Ask Questions

Confounding Feature Acquisition for Causal Effect Estimation


Nov 17, 2020
Shirly Wang, Seung Eun Yi, Shalmali Joshi, Marzyeh Ghassemi


  Access Paper or Ask Questions

Ethical Machine Learning in Health Care


Oct 08, 2020
Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi

* Annual Reviews in Biomedical Data Science 2021 

  Access Paper or Ask Questions

Probabilistic Machine Learning for Healthcare


Sep 23, 2020
Irene Y. Chen, Shalmali Joshi, Marzyeh Ghassemi, Rajesh Ranganath

* Annual Reviews of Biomedical Data Science 2021 

  Access Paper or Ask Questions

Sequential Explanations with Mental Model-Based Policies


Jul 17, 2020
Arnold YS Yeung, Shalmali Joshi, Joseph Jay Williams, Frank Rudzicz

* Accepted into ICML 2020 Workshop on Human Interpretability in Machine Learning (Spotlight) 

  Access Paper or Ask Questions

Counterfactually Guided Policy Transfer in Clinical Settings


Jun 20, 2020
Taylor W. Killian, Marzyeh Ghassemi, Shalmali Joshi

* 25 pages (including appendix), 14 figures 

  Access Paper or Ask Questions

What went wrong and when? Instance-wise Feature Importance for Time-series Models


Mar 05, 2020
Sana Tonekaboni, Shalmali Joshi, David Duvenaud, Anna Goldenberg


  Access Paper or Ask Questions

Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems


Jul 22, 2019
Shalmali Joshi, Oluwasanmi Koyejo, Warut Vijitbenjaronk, Been Kim, Joydeep Ghosh


  Access Paper or Ask Questions

What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use


May 13, 2019
Sana Tonekaboni, Shalmali Joshi, Melissa D McCradden, Anna Goldenberg


  Access Paper or Ask Questions

xGEMs: Generating Examplars to Explain Black-Box Models


Jun 22, 2018
Shalmali Joshi, Oluwasanmi Koyejo, Been Kim, Joydeep Ghosh


  Access Paper or Ask Questions

Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization


Sep 20, 2016
Shalmali Joshi, Suriya Gunasekar, David Sontag, Joydeep Ghosh

* Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA 

  Access Paper or Ask Questions