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ORCIDBibTeX records: Shalmali Joshi
@inproceedings{DBLP:conf/aaai/JoshiZB24,
author = {Shalmali Joshi and
Junzhe Zhang and
Elias Bareinboim},
editor = {Michael J. Wooldridge and
Jennifer G. Dy and
Sriraam Natarajan},
title = {Towards Safe Policy Learning under Partial Identifiability: {A} Causal
Approach},
booktitle = {Thirty-Eighth {AAAI} Conference on Artificial Intelligence, {AAAI}
2024, Thirty-Sixth Conference on Innovative Applications of Artificial
Intelligence, {IAAI} 2024, Fourteenth Symposium on Educational Advances
in Artificial Intelligence, {EAAI} 2014, February 20-27, 2024, Vancouver,
Canada},
pages = {13004--13012},
publisher = {{AAAI} Press},
year = {2024},
url = {https://doi.org/10.1609/aaai.v38i12.29198},
doi = {10.1609/AAAI.V38I12.29198},
timestamp = {Tue, 02 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/JoshiZB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/npjdm/EhrmannJGME23,
author = {Daniel Ehrmann and
Shalmali Joshi and
Sebastian D. Goodfellow and
Mjaye Mazwi and
Danny Eytan},
title = {Making machine learning matter to clinicians: model actionability
in medical decision-making},
journal = {npj Digit. Medicine},
volume = {6},
year = {2023},
url = {https://doi.org/10.1038/s41746-023-00753-7},
doi = {10.1038/S41746-023-00753-7},
timestamp = {Sat, 13 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/npjdm/EhrmannJGME23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/patterns/McCraddenJAL23,
author = {Melissa D. McCradden and
Shalmali Joshi and
James A. Anderson and
Alex John London},
title = {A normative framework for artificial intelligence as a sociotechnical
system in healthcare},
journal = {Patterns},
volume = {4},
number = {11},
pages = {100864},
year = {2023},
url = {https://doi.org/10.1016/j.patter.2023.100864},
doi = {10.1016/J.PATTER.2023.100864},
timestamp = {Tue, 28 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/patterns/McCraddenJAL23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/fat/McCraddenOJANGM23,
author = {Melissa D. McCradden and
Oluwadara Odusi and
Shalmali Joshi and
Ismail Akrout and
Kagiso Ndlovu and
Ben Glocker and
Gabriel Maicas and
Xiaoxuan Liu and
Mjaye Mazwi and
Tee Garnett and
Lauren Oakden{-}Rayner and
Myrtede Alfred and
Irvine Sihlahla and
Oswa Shafei and
Anna Goldenberg},
title = {What's fair is... fair? Presenting JustEFAB, an ethical framework
for operationalizing medical ethics and social justice in the integration
of clinical machine learning: JustEFAB},
booktitle = {Proceedings of the 2023 {ACM} Conference on Fairness, Accountability,
and Transparency, FAccT 2023, Chicago, IL, USA, June 12-15, 2023},
pages = {1505--1519},
publisher = {{ACM}},
year = {2023},
url = {https://doi.org/10.1145/3593013.3594096},
doi = {10.1145/3593013.3594096},
timestamp = {Thu, 15 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/fat/McCraddenOJANGM23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhangSGJ23,
author = {Haoran Zhang and
Harvineet Singh and
Marzyeh Ghassemi and
Shalmali Joshi},
editor = {Andreas Krause and
Emma Brunskill and
Kyunghyun Cho and
Barbara Engelhardt and
Sivan Sabato and
Jonathan Scarlett},
title = {"Why did the Model Fail?": Attributing Model Performance
Changes to Distribution Shifts},
booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
2023, Honolulu, Hawaii, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {202},
pages = {41550--41578},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v202/zhang23ai.html},
timestamp = {Fri, 26 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhangSGJ23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/mlhc/2023,
editor = {Kaivalya Deshpande and
Madalina Fiterau and
Shalmali Joshi and
Zachary C. Lipton and
Rajesh Ranganath and
I{\~{n}}igo Urteaga and
Serene Yeung},
title = {Machine Learning for Healthcare Conference, {MLHC} 2023, 11-12 August
2023, New York, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {219},
publisher = {{PMLR}},
year = {2023},
url = {http://proceedings.mlr.press/v219/},
timestamp = {Tue, 20 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/mlhc/2023.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aies/SinghJDL22,
author = {Harvineet Singh and
Shalmali Joshi and
Finale Doshi{-}Velez and
Himabindu Lakkaraju},
editor = {Vincent Conitzer and
John Tasioulas and
Matthias Scheutz and
Ryan Calo and
Martina Mara and
Annette Zimmermann},
title = {Towards Robust Off-Policy Evaluation via Human Inputs},
booktitle = {{AIES} '22: {AAAI/ACM} Conference on AI, Ethics, and Society, Oxford,
United Kingdom, May 19 - 21, 2021},
pages = {686--699},
publisher = {{ACM}},
year = {2022},
url = {https://doi.org/10.1145/3514094.3534198},
doi = {10.1145/3514094.3534198},
timestamp = {Fri, 29 Jul 2022 10:48:28 +0200},
biburl = {https://dblp.org/rec/conf/aies/SinghJDL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PawelczykAJUL22,
author = {Martin Pawelczyk and
Chirag Agarwal and
Shalmali Joshi and
Sohini Upadhyay and
Himabindu Lakkaraju},
editor = {Gustau Camps{-}Valls and
Francisco J. R. Ruiz and
Isabel Valera},
title = {Exploring Counterfactual Explanations Through the Lens of Adversarial
Examples: {A} Theoretical and Empirical Analysis},
booktitle = {International Conference on Artificial Intelligence and Statistics,
{AISTATS} 2022, 28-30 March 2022, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {151},
pages = {4574--4594},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v151/pawelczyk22a.html},
timestamp = {Sat, 30 Sep 2023 09:34:08 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PawelczykAJUL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/KillianGJ22,
author = {Taylor W. Killian and
Marzyeh Ghassemi and
Shalmali Joshi},
editor = {Gerardo Flores and
George H. Chen and
Tom J. Pollard and
Joyce C. Ho and
Tristan Naumann},
title = {Counterfactually Guided Policy Transfer in Clinical Settings},
booktitle = {Conference on Health, Inference, and Learning, {CHIL} 2022, 7-8 April
2022, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {174},
pages = {5--31},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v174/killian22a.html},
timestamp = {Wed, 27 Apr 2022 11:24:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/KillianGJ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/ParzialeATSOSKS22,
author = {Antonio Parziale and
Monica Agrawal and
Shengpu Tang and
Kristen Severson and
Luis Oala and
Adarsh Subbaswamy and
Sayantan Kumar and
Elora D. M. Sch{\"{o}}rverth and
Stefan Hegselmann and
Helen Zhou and
Ghada Zamzmi and
Purity Mugambi and
Elena Sizikova and
Girmaw Abebe Tadesse and
Yuyin Zhou and
Taylor W. Killian and
Haoran Zhang and
Fahad Kamran and
Andrea Hobby and
Mars Huang and
Ahmed M. Alaa and
Harvineet Singh and
Irene Y. Chen and
Shalmali Joshi},
editor = {Antonio Parziale and
Monica Agrawal and
Shalmali Joshi and
Irene Y. Chen and
Shengpu Tang and
Luis Oala and
Adarsh Subbaswamy},
title = {Machine Learning for Health {(ML4H)} 2022},
booktitle = {Machine Learning for Health, {ML4H} 2022, 28 November 2022, New Orleans,
Lousiana, {USA} {\&} Virtual},
series = {Proceedings of Machine Learning Research},
volume = {193},
pages = {1--11},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v193/parziale22a.html},
timestamp = {Fri, 01 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/ml4h/ParzialeATSOSKS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/ml4h/2022,
editor = {Antonio Parziale and
Monica Agrawal and
Shalmali Joshi and
Irene Y. Chen and
Shengpu Tang and
Luis Oala and
Adarsh Subbaswamy},
title = {Machine Learning for Health, {ML4H} 2022, 28 November 2022, New Orleans,
Lousiana, {USA} {\&} Virtual},
series = {Proceedings of Machine Learning Research},
volume = {193},
publisher = {{PMLR}},
year = {2022},
url = {http://proceedings.mlr.press/v193/},
timestamp = {Fri, 17 Feb 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/ml4h/2022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2201-08262,
author = {Sonali Parbhoo and
Shalmali Joshi and
Finale Doshi{-}Velez},
title = {Generalizing Off-Policy Evaluation From a Causal Perspective For Sequential
Decision-Making},
journal = {CoRR},
volume = {abs/2201.08262},
year = {2022},
url = {https://arxiv.org/abs/2201.08262},
eprinttype = {arXiv},
eprint = {2201.08262},
timestamp = {Tue, 01 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2201-08262.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2209-08682,
author = {Harvineet Singh and
Shalmali Joshi and
Finale Doshi{-}Velez and
Himabindu Lakkaraju},
title = {Towards Robust Off-Policy Evaluation via Human Inputs},
journal = {CoRR},
volume = {abs/2209.08682},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2209.08682},
doi = {10.48550/ARXIV.2209.08682},
eprinttype = {arXiv},
eprint = {2209.08682},
timestamp = {Wed, 28 Sep 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2209-08682.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2210-10769,
author = {Haoran Zhang and
Harvineet Singh and
Marzyeh Ghassemi and
Shalmali Joshi},
title = {"Why did the Model Fail?": Attributing Model Performance
Changes to Distribution Shifts},
journal = {CoRR},
volume = {abs/2210.10769},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2210.10769},
doi = {10.48550/ARXIV.2210.10769},
eprinttype = {arXiv},
eprint = {2210.10769},
timestamp = {Fri, 26 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2210-10769.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2211-15564,
author = {Antonio Parziale and
Monica Agrawal and
Shalmali Joshi and
Irene Y. Chen and
Shengpu Tang and
Luis Oala and
Adarsh Subbaswamy},
title = {Machine Learning for Health symposium 2022 - Extended Abstract track},
journal = {CoRR},
volume = {abs/2211.15564},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2211.15564},
doi = {10.48550/ARXIV.2211.15564},
eprinttype = {arXiv},
eprint = {2211.15564},
timestamp = {Tue, 29 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2211-15564.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/ZhangDSMJG21,
author = {Haoran Zhang and
Natalie Dullerud and
Laleh Seyyed{-}Kalantari and
Quaid Morris and
Shalmali Joshi and
Marzyeh Ghassemi},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {An empirical framework for domain generalization in clinical settings},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {279--290},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451878},
doi = {10.1145/3450439.3451878},
timestamp = {Fri, 26 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/ZhangDSMJG21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cikm/GowdaJZG21,
author = {Sindhu C. M. Gowda and
Shalmali Joshi and
Haoran Zhang and
Marzyeh Ghassemi},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {Pulling Up by the Causal Bootstraps: Causal Data Augmentation for
Pre-training Debiasing},
booktitle = {{CIKM} '21: The 30th {ACM} International Conference on Information
and Knowledge Management, Virtual Event, Queensland, Australia, November
1 - 5, 2021},
pages = {606--616},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482380},
doi = {10.1145/3459637.3482380},
timestamp = {Fri, 26 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/cikm/GowdaJZG21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/fat/ChengSDJG21,
author = {Victoria Cheng and
Vinith M. Suriyakumar and
Natalie Dullerud and
Shalmali Joshi and
Marzyeh Ghassemi},
editor = {Madeleine Clare Elish and
William Isaac and
Richard S. Zemel},
title = {Can You Fake It Until You Make It?: Impacts of Differentially Private
Synthetic Data on Downstream Classification Fairness},
booktitle = {FAccT '21: 2021 {ACM} Conference on Fairness, Accountability, and
Transparency, Virtual Event / Toronto, Canada, March 3-10, 2021},
pages = {149--160},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3442188.3445879},
doi = {10.1145/3442188.3445879},
timestamp = {Fri, 05 May 2023 15:54:55 +0200},
biburl = {https://dblp.org/rec/conf/fat/ChengSDJG21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/UpadhyayJL21,
author = {Sohini Upadhyay and
Shalmali Joshi and
Himabindu Lakkaraju},
editor = {Marc'Aurelio Ranzato and
Alina Beygelzimer and
Yann N. Dauphin and
Percy Liang and
Jennifer Wortman Vaughan},
title = {Towards Robust and Reliable Algorithmic Recourse},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference
on Neural Information Processing Systems 2021, NeurIPS 2021, December
6-14, 2021, virtual},
pages = {16926--16937},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/8ccfb1140664a5fa63177fb6e07352f0-Abstract.html},
timestamp = {Tue, 03 May 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/nips/UpadhyayJL21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2102-13620,
author = {Sohini Upadhyay and
Shalmali Joshi and
Himabindu Lakkaraju},
title = {Towards Robust and Reliable Algorithmic Recourse},
journal = {CoRR},
volume = {abs/2102.13620},
year = {2021},
url = {https://arxiv.org/abs/2102.13620},
eprinttype = {arXiv},
eprint = {2102.13620},
timestamp = {Tue, 02 Mar 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2102-13620.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2103-11163,
author = {Haoran Zhang and
Natalie Dullerud and
Laleh Seyyed{-}Kalantari and
Quaid Morris and
Shalmali Joshi and
Marzyeh Ghassemi},
title = {An Empirical Framework for Domain Generalization in Clinical Settings},
journal = {CoRR},
volume = {abs/2103.11163},
year = {2021},
url = {https://arxiv.org/abs/2103.11163},
eprinttype = {arXiv},
eprint = {2103.11163},
timestamp = {Fri, 26 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2103-11163.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2103-15933,
author = {Harvineet Singh and
Shalmali Joshi and
Finale Doshi{-}Velez and
Himabindu Lakkaraju},
title = {Learning Under Adversarial and Interventional Shifts},
journal = {CoRR},
volume = {abs/2103.15933},
year = {2021},
url = {https://arxiv.org/abs/2103.15933},
eprinttype = {arXiv},
eprint = {2103.15933},
timestamp = {Wed, 07 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2103-15933.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2106-09992,
author = {Martin Pawelczyk and
Shalmali Joshi and
Chirag Agarwal and
Sohini Upadhyay and
Himabindu Lakkaraju},
title = {On the Connections between Counterfactual Explanations and Adversarial
Examples},
journal = {CoRR},
volume = {abs/2106.09992},
year = {2021},
url = {https://arxiv.org/abs/2106.09992},
eprinttype = {arXiv},
eprint = {2106.09992},
timestamp = {Tue, 29 Jun 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2106-09992.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2108-12510,
author = {Sindhu C. M. Gowda and
Shalmali Joshi and
Haoran Zhang and
Marzyeh Ghassemi},
title = {Pulling Up by the Causal Bootstraps: Causal Data Augmentation for
Pre-training Debiasing},
journal = {CoRR},
volume = {abs/2108.12510},
year = {2021},
url = {https://arxiv.org/abs/2108.12510},
eprinttype = {arXiv},
eprint = {2108.12510},
timestamp = {Fri, 26 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2108-12510.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2109-06312,
author = {Shalmali Joshi and
Sonali Parbhoo and
Finale Doshi{-}Velez},
title = {Pre-emptive learning-to-defer for sequential medical decision-making
under uncertainty},
journal = {CoRR},
volume = {abs/2109.06312},
year = {2021},
url = {https://arxiv.org/abs/2109.06312},
eprinttype = {arXiv},
eprint = {2109.06312},
timestamp = {Tue, 21 Sep 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2109-06312.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jamia/McCraddenJAMGS20,
author = {Melissa D. McCradden and
Shalmali Joshi and
James A. Anderson and
Mjaye Mazwi and
Anna Goldenberg and
Randi Zlotnik Shaul},
title = {Patient safety and quality improvement: Ethical principles for a regulatory
approach to bias in healthcare machine learning},
journal = {J. Am. Medical Informatics Assoc.},
volume = {27},
number = {12},
pages = {2024--2027},
year = {2020},
url = {https://doi.org/10.1093/jamia/ocaa085},
doi = {10.1093/JAMIA/OCAA085},
timestamp = {Thu, 16 Sep 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jamia/McCraddenJAMGS20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aies/McCraddenMJA20,
author = {Melissa D. McCradden and
Mjaye Mazwi and
Shalmali Joshi and
James A. Anderson},
editor = {Annette N. Markham and
Julia Powles and
Toby Walsh and
Anne L. Washington},
title = {When Your Only Tool Is {A} Hammer: Ethical Limitations of Algorithmic
Fairness Solutions in Healthcare Machine Learning},
booktitle = {{AIES} '20: {AAAI/ACM} Conference on AI, Ethics, and Society, New
York, NY, USA, February 7-8, 2020},
pages = {109},
publisher = {{ACM}},
year = {2020},
url = {https://doi.org/10.1145/3375627.3375824},
doi = {10.1145/3375627.3375824},
timestamp = {Thu, 14 Oct 2021 10:27:33 +0200},
biburl = {https://dblp.org/rec/conf/aies/McCraddenMJA20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/TonekaboniJCDG20,
author = {Sana Tonekaboni and
Shalmali Joshi and
Kieran Campbell and
David Duvenaud and
Anna Goldenberg},
editor = {Hugo Larochelle and
Marc'Aurelio Ranzato and
Raia Hadsell and
Maria{-}Florina Balcan and
Hsuan{-}Tien Lin},
title = {What went wrong and when? Instance-wise feature importance for time-series
black-box models},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference
on Neural Information Processing Systems 2020, NeurIPS 2020, December
6-12, 2020, virtual},
year = {2020},
url = {https://proceedings.neurips.cc/paper/2020/hash/08fa43588c2571ade19bc0fa5936e028-Abstract.html},
timestamp = {Tue, 19 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/TonekaboniJCDG20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/WangYJG20,
author = {Shirly Wang and
Seung Eun Yi and
Shalmali Joshi and
Marzyeh Ghassemi},
editor = {Emily Alsentzer and
Matthew B. A. McDermott and
Fabian Falck and
Suproteem K. Sarkar and
Subhrajit Roy and
Stephanie L. Hyland},
title = {Confounding Feature Acquisition for Causal Effect Estimation},
booktitle = {Machine Learning for Health Workshop, ML4H@NeurIPS 2020, Virtual Event,
11 December 2020},
series = {Proceedings of Machine Learning Research},
volume = {136},
pages = {379--396},
publisher = {{PMLR}},
year = {2020},
url = {http://proceedings.mlr.press/v136/wang20a.html},
timestamp = {Fri, 25 Mar 2022 13:26:32 +0100},
biburl = {https://dblp.org/rec/conf/nips/WangYJG20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2003-02821,
author = {Sana Tonekaboni and
Shalmali Joshi and
David Duvenaud and
Anna Goldenberg},
title = {What went wrong and when? Instance-wise Feature Importance for Time-series
Models},
journal = {CoRR},
volume = {abs/2003.02821},
year = {2020},
url = {https://arxiv.org/abs/2003.02821},
eprinttype = {arXiv},
eprint = {2003.02821},
timestamp = {Tue, 10 Mar 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2003-02821.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-11654,
author = {Taylor W. Killian and
Marzyeh Ghassemi and
Shalmali Joshi},
title = {Counterfactually Guided Policy Transfer in Clinical Settings},
journal = {CoRR},
volume = {abs/2006.11654},
year = {2020},
url = {https://arxiv.org/abs/2006.11654},
eprinttype = {arXiv},
eprint = {2006.11654},
timestamp = {Tue, 23 Jun 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2006-11654.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2007-09028,
author = {Arnold Y. S. Yeung and
Shalmali Joshi and
Joseph Jay Williams and
Frank Rudzicz},
title = {Sequential Explanations with Mental Model-Based Policies},
journal = {CoRR},
volume = {abs/2007.09028},
year = {2020},
url = {https://arxiv.org/abs/2007.09028},
eprinttype = {arXiv},
eprint = {2007.09028},
timestamp = {Tue, 28 Jul 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2007-09028.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2009-10576,
author = {Irene Y. Chen and
Emma Pierson and
Sherri Rose and
Shalmali Joshi and
Kadija Ferryman and
Marzyeh Ghassemi},
title = {Ethical Machine Learning in Health Care},
journal = {CoRR},
volume = {abs/2009.10576},
year = {2020},
url = {https://arxiv.org/abs/2009.10576},
eprinttype = {arXiv},
eprint = {2009.10576},
timestamp = {Wed, 30 Sep 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2009-10576.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2009-11087,
author = {Irene Y. Chen and
Shalmali Joshi and
Marzyeh Ghassemi and
Rajesh Ranganath},
title = {Probabilistic Machine Learning for Healthcare},
journal = {CoRR},
volume = {abs/2009.11087},
year = {2020},
url = {https://arxiv.org/abs/2009.11087},
eprinttype = {arXiv},
eprint = {2009.11087},
timestamp = {Wed, 30 Sep 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2009-11087.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2011-08753,
author = {Shirly Wang and
Seung Eun Yi and
Shalmali Joshi and
Marzyeh Ghassemi},
title = {Confounding Feature Acquisition for Causal Effect Estimation},
journal = {CoRR},
volume = {abs/2011.08753},
year = {2020},
url = {https://arxiv.org/abs/2011.08753},
eprinttype = {arXiv},
eprint = {2011.08753},
timestamp = {Thu, 19 Nov 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2011-08753.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/mlhc/TonekaboniJMG19,
author = {Sana Tonekaboni and
Shalmali Joshi and
Melissa D. McCradden and
Anna Goldenberg},
editor = {Finale Doshi{-}Velez and
Jim Fackler and
Ken Jung and
David C. Kale and
Rajesh Ranganath and
Byron C. Wallace and
Jenna Wiens},
title = {What Clinicians Want: Contextualizing Explainable Machine Learning
for Clinical End Use},
booktitle = {Proceedings of the Machine Learning for Healthcare Conference, {MLHC}
2019, 9-10 August 2019, Ann Arbor, Michigan, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {106},
pages = {359--380},
publisher = {{PMLR}},
year = {2019},
url = {http://proceedings.mlr.press/v106/tonekaboni19a.html},
timestamp = {Fri, 27 Nov 2020 15:17:46 +0100},
biburl = {https://dblp.org/rec/conf/mlhc/TonekaboniJMG19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1905-05134,
author = {Sana Tonekaboni and
Shalmali Joshi and
Melissa D. McCradden and
Anna Goldenberg},
title = {What Clinicians Want: Contextualizing Explainable Machine Learning
for Clinical End Use},
journal = {CoRR},
volume = {abs/1905.05134},
year = {2019},
url = {http://arxiv.org/abs/1905.05134},
eprinttype = {arXiv},
eprint = {1905.05134},
timestamp = {Tue, 28 May 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1905-05134.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1907-09615,
author = {Shalmali Joshi and
Oluwasanmi Koyejo and
Warut Vijitbenjaronk and
Been Kim and
Joydeep Ghosh},
title = {Towards Realistic Individual Recourse and Actionable Explanations
in Black-Box Decision Making Systems},
journal = {CoRR},
volume = {abs/1907.09615},
year = {2019},
url = {http://arxiv.org/abs/1907.09615},
eprinttype = {arXiv},
eprint = {1907.09615},
timestamp = {Tue, 30 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1907-09615.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sdm/JoshiKG18,
author = {Shalmali Joshi and
Rajiv Khanna and
Joydeep Ghosh},
editor = {Martin Ester and
Dino Pedreschi},
title = {Co-regularized Monotone Retargeting for Semi-supervised LeTOR},
booktitle = {Proceedings of the 2018 {SIAM} International Conference on Data Mining,
{SDM} 2018, May 3-5, 2018, San Diego Marriott Mission Valley, San
Diego, CA, {USA}},
pages = {432--440},
publisher = {{SIAM}},
year = {2018},
url = {https://doi.org/10.1137/1.9781611975321.49},
doi = {10.1137/1.9781611975321.49},
timestamp = {Sun, 13 May 2018 11:47:13 +0200},
biburl = {https://dblp.org/rec/conf/sdm/JoshiKG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1806-08867,
author = {Shalmali Joshi and
Oluwasanmi Koyejo and
Been Kim and
Joydeep Ghosh},
title = {xGEMs: Generating Examplars to Explain Black-Box Models},
journal = {CoRR},
volume = {abs/1806.08867},
year = {2018},
url = {http://arxiv.org/abs/1806.08867},
eprinttype = {arXiv},
eprint = {1806.08867},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1806-08867.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ml/JoshiGRK16,
author = {Shalmali Joshi and
Joydeep Ghosh and
Mark Reid and
Oluwasanmi Koyejo},
title = {R{\'{e}}nyi divergence minimization based co-regularized multiview
clustering},
journal = {Mach. Learn.},
volume = {104},
number = {2-3},
pages = {411--439},
year = {2016},
url = {https://doi.org/10.1007/s10994-016-5543-2},
doi = {10.1007/S10994-016-5543-2},
timestamp = {Mon, 02 Mar 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/ml/JoshiGRK16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/mlhc/JoshiGSG16,
author = {Shalmali Joshi and
Suriya Gunasekar and
David A. Sontag and
Joydeep Ghosh},
editor = {Finale Doshi{-}Velez and
Jim Fackler and
David C. Kale and
Byron C. Wallace and
Jenna Wiens},
title = {Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization},
booktitle = {Proceedings of the 1st Machine Learning in Health Care, {MLHC} 2016,
Los Angeles, CA, USA, August 19-20, 2016},
series = {{JMLR} Workshop and Conference Proceedings},
volume = {56},
pages = {17--41},
publisher = {JMLR.org},
year = {2016},
url = {http://proceedings.mlr.press/v56/Joshi16.html},
timestamp = {Fri, 15 Nov 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/mlhc/JoshiGSG16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/JoshiGSG16,
author = {Shalmali Joshi and
Suriya Gunasekar and
David A. Sontag and
Joydeep Ghosh},
title = {Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization},
journal = {CoRR},
volume = {abs/1608.00704},
year = {2016},
url = {http://arxiv.org/abs/1608.00704},
eprinttype = {arXiv},
eprint = {1608.00704},
timestamp = {Fri, 15 Nov 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/JoshiGSG16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ichi/JoshiKRG15,
author = {Shalmali Joshi and
Oluwasanmi Koyejo and
Kristine Resurreccion and
Joydeep Ghosh},
editor = {Prabhakaran Balakrishnan and
Jaideep Srivatsava and
Wai{-}Tat Fu and
Sanda M. Harabagiu and
Fei Wang},
title = {Simultaneous Prognosis and Exploratory Analysis of Multiple Chronic
Conditions Using Clinical Notes},
booktitle = {2015 International Conference on Healthcare Informatics, {ICHI} 2015,
Dallas, TX, USA, October 21-23, 2015},
pages = {243--252},
publisher = {{IEEE} Computer Society},
year = {2015},
url = {https://doi.org/10.1109/ICHI.2015.36},
doi = {10.1109/ICHI.2015.36},
timestamp = {Mon, 22 Apr 2024 21:24:17 +0200},
biburl = {https://dblp.org/rec/conf/ichi/JoshiKRG15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ichi/JoshiKG15,
author = {Shalmali Joshi and
Oluwasanmi Koyejo and
Joydeep Ghosh},
editor = {Prabhakaran Balakrishnan and
Jaideep Srivatsava and
Wai{-}Tat Fu and
Sanda M. Harabagiu and
Fei Wang},
title = {Simultaneous Prognosis of Multiple Chronic Conditions from Heterogeneous
{EHR} Data},
booktitle = {2015 International Conference on Healthcare Informatics, {ICHI} 2015,
Dallas, TX, USA, October 21-23, 2015},
pages = {497},
publisher = {{IEEE} Computer Society},
year = {2015},
url = {https://doi.org/10.1109/ICHI.2015.87},
doi = {10.1109/ICHI.2015.87},
timestamp = {Fri, 24 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/ichi/JoshiKG15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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