Publications | AI4AI Lab

2026

arXiv

Continual Learning without Continual Training

Nikita Narayanan, Ritam Majumdar, and Sonali Parbhoo

arXiv preprint arXiv:2610.10379, 2026

@article{Narayanan2026Continual,
  title = {Continual Learning without Continual Training},
  author = {Narayanan, Nikita and Majumdar, Ritam and Parbhoo, Sonali},
  journal = {arXiv preprint arXiv:2610.10379},
  year = {2026},
}

KDD

Causal methods for LLM development and evaluation

Dennis Frauen, Marie Brockschmidt, Konstantin Hess, and 10 more authors

In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2, 2026

PDF Bib

@inproceedings{Frauen2026Causal,
  title = {Causal methods for LLM development and evaluation},
  author = {Frauen, Dennis and Brockschmidt, Marie and Hess, Konstantin and Ma, Haorui and Ma, Yuchen and Maarouf, Abdurahman and Schröder, Maresa and Schweisthal, Jonas and Wang, Yuxin and Deviyani, Athiya and Parbhoo, Sonali and Krishnan, Rahul G and Feuerriegel, Stefan},
  booktitle = {Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2},
  pages = {13170--13177},
  year = {2026},
}

ICML

Reward Shaping Control Variates for Off-Policy Evaluation Under Sparse Rewards

Ritam Majumdar, Finale Doshi-Velez, and Sonali Parbhoo

In Forty-third International Conference on Machine Learning, 2026

PDF Bib

@inproceedings{Majumdar2026Reward,
  title = {Reward Shaping Control Variates for Off-Policy Evaluation Under Sparse Rewards},
  author = {Majumdar, Ritam and Doshi-Velez, Finale and Parbhoo, Sonali},
  booktitle = {Forty-third International Conference on Machine Learning},
  year = {2026},
}

Intensive Care Med

Reproducible clinical archetypes in acute respiratory failure: a multi-cohort trajectory analysis

Dominic C Marshall, Ashleigh D Green, Matthieu Komorowski, and 3 more authors

Intensive Care Medicine, 2026

PDF Bib

@article{Marshall2026Reproducible,
  title = {Reproducible clinical archetypes in acute respiratory failure: a multi-cohort trajectory analysis},
  author = {Marshall, Dominic C and Green, Ashleigh D and Komorowski, Matthieu and Patel, Brijesh V and Parbhoo, Sonali and Antcliffe, David B},
  journal = {Intensive Care Medicine},
  pages = {1--12},
  publisher = {Springer Berlin Heidelberg},
  year = {2026},
}

npj Digit Med

Off by a beat: the effects of temporal misalignment in reinforcement learning for sepsis treatment

Shengpu Tang, Jiayu Yao, Jenna Wiens, and 1 more author

NPJ Digital Medicine, 2026

PDF Bib

@article{Tang2026Off,
  title = {Off by a beat: the effects of temporal misalignment in reinforcement learning for sepsis treatment},
  author = {Tang, Shengpu and Yao, Jiayu and Wiens, Jenna and Parbhoo, Sonali},
  journal = {NPJ Digital Medicine},
  volume = {9},
  number = {1},
  pages = {360},
  publisher = {Nature Publishing Group UK},
  year = {2026},
}

ICLR

The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives

Matthieu Bou, Nyal Patel, Arjun Jagota, and 2 more authors

In The Fourteenth International Conference on Learning Representations, 2026

PDF Bib Code

@inproceedings{Bou2026AlignmentAuditor,
  title = {The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives},
  author = {Bou, Matthieu and Patel, Nyal and Jagota, Arjun and Krishna, Satyapriya and Parbhoo, Sonali},
  booktitle = {The Fourteenth International Conference on Learning Representations},
  year = {2026},
}

RLC Workshop

Off Policy Evaluation Under Temporal Mismatch

Ritam Majumdar, Shengpu Tang, and Sonali Parbhoo

In Finding the Frame Workshop at RLC 2026, 2026

PDF Bib

@inproceedings{Majumdar2026Off,
  title = {Off Policy Evaluation Under Temporal Mismatch},
  author = {Majumdar, Ritam and Tang, Shengpu and Parbhoo, Sonali},
  booktitle = {Finding the Frame Workshop at RLC 2026},
  year = {2026},
}

BMC Pulm Med

Time-varying associations between corticosteroid dose and hospital mortality in ARDS: a sliding-window analysis of MIMIC-IV

Dominic C Marshall, Matthieu Komorowski, Matthieu Jamme, and 3 more authors

BMC Pulmonary Medicine, 2026

PDF Bib

@article{Marshall2026Time,
  title = {Time-varying associations between corticosteroid dose and hospital mortality in ARDS: a sliding-window analysis of MIMIC-IV},
  author = {Marshall, Dominic C and Komorowski, Matthieu and Jamme, Matthieu and Patel, Brijesh V and Antcliffe, David B and Parbhoo, Sonali},
  journal = {BMC Pulmonary Medicine},
  volume = {26},
  number = {1},
  pages = {209},
  publisher = {BioMed Central},
  year = {2026},
}

MLHC

The Severity Trap: Benchmarking Sequential Representation Learning for Oxygenation Trajectory Phenotyping in Acute Hypoxaemic Respiratory Failure

Dominic C Marshall, Nikita Narayanan, David B Antcliffe, and 1 more author

In Machine Learning for Healthcare Conference, 2026

PDF Bib

@inproceedings{Marshall2026Severity,
  title = {The Severity Trap: Benchmarking Sequential Representation Learning for Oxygenation Trajectory Phenotyping in Acute Hypoxaemic Respiratory Failure},
  author = {Marshall, Dominic C and Narayanan, Nikita and Antcliffe, David B and Parbhoo, Sonali},
  booktitle = {Machine Learning for Healthcare Conference},
  pages = {1264--1299},
  publisher = {PMLR},
  year = {2026},
}

Hum Reprod

L26/P-835 Causal AI reveals ethnic variation in the response to ovarian stimulation: a multidimensional analysis of 24,745 patients

E Sheremetyeva, S Parbhoo, S Hanassab, and 12 more authors

Human Reproduction, 2026

PDF Bib

@article{Sheremetyeva2026L,
  title = {L26/P-835 Causal AI reveals ethnic variation in the response to ovarian stimulation: a multidimensional analysis of 24,745 patients},
  author = {Sheremetyeva, E and Parbhoo, S and Hanassab, S and Nelson, SM and Saravelos, S and Loukily, E and Ansari, Z and Akbarov, A and Yeung, AC and Salim, R and Comninos, AN and Trew, G and Heinis, T and Dhillo, WS and Abbara, A},
  journal = {Human Reproduction},
  volume = {41},
  number = {Supplement_1},
  pages = {deag083. 1162},
  publisher = {Oxford University Press},
  year = {2026},
}

Hum Reprod

L26/P-454 Marked ethnic disparities in IVF outcomes result in significantly reduced live birth rates in ethnic minority groups

S Hanassab, E Sheremetyeva, A Ng, and 12 more authors

Human Reproduction, 2026

PDF Bib

@article{Hanassab2026L,
  title = {L26/P-454 Marked ethnic disparities in IVF outcomes result in significantly reduced live birth rates in ethnic minority groups},
  author = {Hanassab, S and Sheremetyeva, E and Ng, A and Machiyama, K and Loukily, E and Nelson, SM and Saravelos, S and Salim, R and Comninos, AN and Trew, GH and Evans, A and Heinis, T and Parbhoo, S and Dhillo, WS and Abbara, A},
  journal = {Human Reproduction},
  volume = {41},
  number = {Supplement_1},
  pages = {deag083. 788},
  publisher = {Oxford University Press},
  year = {2026},
}

arXiv

Why LLMs Fail at Causal Discovery and How Interventional Agents Escape

Amartya Roy and Sonali Parbhoo

arXiv preprint arXiv:2605.27567, 2026

PDF Bib

@article{Roy2026Why,
  title = {Why LLMs Fail at Causal Discovery and How Interventional Agents Escape},
  author = {Roy, Amartya and Parbhoo, Sonali},
  journal = {arXiv preprint arXiv:2605.27567},
  year = {2026},
}

arXiv

Causal Machine Learning Is Not a Panacea: A Roadmap for Observational Causal Inference in Health

Donna Tjandra, Trenton Chang, Sonali Parbhoo, and 8 more authors

arXiv preprint arXiv:2605.20782, 2026

PDF Bib

@article{Tjandra2026Causal,
  title = {Causal Machine Learning Is Not a Panacea: A Roadmap for Observational Causal Inference in Health},
  author = {Tjandra, Donna and Chang, Trenton and Parbhoo, Sonali and Ranganath, Rajesh and Waschka, Andre Kurepa and Mitchell, William and Makar, Maggie and Joshi, Shalmali and Doshi-Velez, Finale and Celi, Leo Anthony and Wiens, Jenna},
  journal = {arXiv preprint arXiv:2605.20782},
  year = {2026},
}

AJRCCM

Longitudinal, outcome-aware acute hypoxic respiratory failure phenotypes: discovery, external validation, and early prediction

DC Marshall, A Green, B Patel, and 3 more authors

In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2026

PDF Bib

@inproceedings{Marshall2026Longitudinal,
  title = {Longitudinal, outcome-aware acute hypoxic respiratory failure phenotypes: discovery, external validation, and early prediction},
  author = {Marshall, DC and Green, A and Patel, B and Komorowski, M and Parbhoo, S and Antcliffe, DB},
  booktitle = {AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE},
  volume = {212},
  publisher = {OXFORD UNIV PRESS},
  year = {2026},
}

AJRCCM

C55-09 Dynamic Phenotyping of Acute Kidney Injury in ICU Patients Using Joint Latent Class Modeling of Serum Creatinine Trajectories Across Europe and the United States

M Jamme, DC Marshall, D Legouis, and 3 more authors

American Journal of Respiratory and Critical Care Medicine, 2026

PDF Bib

@article{Jamme2026C,
  title = {C55-09 Dynamic Phenotyping of Acute Kidney Injury in ICU Patients Using Joint Latent Class Modeling of Serum Creatinine Trajectories Across Europe and the United States},
  author = {Jamme, M and Marshall, DC and Legouis, D and Komorowski, M and Parbhoo, S and McAdoo, S},
  journal = {American Journal of Respiratory and Critical Care Medicine},
  volume = {212},
  number = {Supplement_1},
  pages = {aamag162. 5186},
  publisher = {Oxford University Press},
  year = {2026},
}

AJRCCM

A17-06 Longitudinal, Outcome-Aware Acute Hypoxic Respiratory Failure Phenotypes: Discovery, External Validation, and Early Prediction

DC Marshall, A Green, BV Patel, and 3 more authors

American Journal of Respiratory and Critical Care Medicine, 2026

PDF Bib

@article{Marshall2026Longitudinala,
  title = {A17-06 Longitudinal, Outcome-Aware Acute Hypoxic Respiratory Failure Phenotypes: Discovery, External Validation, and Early Prediction},
  author = {Marshall, DC and Green, A and Patel, BV and Komorowski, M and Parbhoo, S and Antcliffe, DB},
  journal = {American Journal of Respiratory and Critical Care Medicine},
  volume = {212},
  number = {Supplement_1},
  pages = {aamag162. 008},
  publisher = {Oxford University Press},
  year = {2026},
}

ICM Exp

Improving retrospective ARDS case-finding using a simple 72-h physiologic persistence rule

Dominic C Marshall, Brijesh V Patel, Anthony C Gordon, and 3 more authors

Intensive Care Medicine Experimental, 2026

PDF Bib

@article{Marshall2026Improving,
  title = {Improving retrospective ARDS case-finding using a simple 72-h physiologic persistence rule},
  author = {Marshall, Dominic C and Patel, Brijesh V and Gordon, Anthony C and Antcliffe, David B and Parbhoo, Sonali and Komorowski, Matthieu},
  journal = {Intensive Care Medicine Experimental},
  volume = {14},
  number = {1},
  pages = {58},
  publisher = {Springer International Publishing},
  year = {2026},
}

AISTATS

Bayesian Inverse Transition Learning: Learning Dynamics from Near-Optimal Trajectories

Leo Benac, Abhishek Sharma, Sonali Parbhoo, and 1 more author

In The 29th International Conference on Artificial Intelligence and Statistics, 2026

PDF Bib

@inproceedings{Benac2024Inverse,
  title = {Bayesian Inverse Transition Learning: Learning Dynamics from Near-Optimal Trajectories},
  author = {Benac, Leo and Sharma, Abhishek and Parbhoo, Sonali and Doshi-Velez, Finale},
  booktitle = {The 29th International Conference on Artificial Intelligence and Statistics},
  year = {2026},
}

2025

ERJ

Context-Aware Concept Bottleneck Models: Integrating LLM Insights for Enhanced ARDS Identification

Dominic Marshall, Anish Narain, Ritam Majumdar, and 3 more authors

European Respiratory Journal 66 (suppl 69), 2025

PDF Bib Code

@article{Marshall2025Context,
  title = {Context-Aware Concept Bottleneck Models: Integrating LLM Insights for Enhanced ARDS Identification},
  author = {Marshall, Dominic and Narain, Anish and Majumdar, Ritam and Narayanan, Nikita and Komorowski, Matthieu and Parbhoo, Sonali},
  journal = {European Respiratory Journal 66 (suppl 69)},
  volume = {66},
  number = {suppl 69},
  publisher = {European Respiratory Society},
  year = {2025},
}

ERJ

Exploring time-varying corticosteroid effects in ARDS via augmented inverse probability weighting analysis

Dominic Marshall, Matthieu Komorowski, David Antcliffe, and 1 more author

European Respiratory Journal 66 (suppl 69), 2025

PDF Bib

@article{Marshall2025Exploring,
  title = {Exploring time-varying corticosteroid effects in ARDS via augmented inverse probability weighting analysis},
  author = {Marshall, Dominic and Komorowski, Matthieu and Antcliffe, David and Parbhoo, Sonali},
  journal = {European Respiratory Journal 66 (suppl 69)},
  volume = {66},
  number = {suppl 69},
  publisher = {European Respiratory Society},
  year = {2025},
}

arXiv

Learning from Failures: Understanding LLM Alignment through Failure-Aware Inverse RL

Nyal Patel, Matthieu Bou, Arjun Jagota, and 2 more authors

arXiv preprint arXiv:2510.06092, 2025

PDF Bib

@article{Patel2025FailureAware,
  title = {Learning from Failures: Understanding LLM Alignment through Failure-Aware Inverse RL},
  author = {Patel, Nyal and Bou, Matthieu and Jagota, Arjun and Krishna, Satyapriya and Parbhoo, Sonali},
  journal = {arXiv preprint arXiv:2510.06092},
  year = {2025},
}

MLHC

Improving ARDS Diagnosis Through Context-Aware Concept Bottleneck Models

Anish Narain, Ritam Majumdar, Nikita Narayanan, and 2 more authors

In Proceedings of Machine Learning Research, 2025

PDF Bib Code

@inproceedings{Narain2025ARDS,
  title = {Improving ARDS Diagnosis Through Context-Aware Concept Bottleneck Models},
  author = {Narain, Anish and Majumdar, Ritam and Narayanan, Nikita and Marshall, Dominic and Parbhoo, Sonali},
  booktitle = {Proceedings of Machine Learning Research},
  volume = {298},
  pages = {1--32},
  year = {2025},
}

Anaesthesia

Surgical precision? Cutting through the hype of AI-augmented peri-operative risk prediction

M Murali, J Mann, and Sonali Parbhoo

Anaesthesia, 2025

PDF Bib

@article{Murali2025Surgical,
  title = {Surgical precision? Cutting through the hype of AI-augmented peri-operative risk prediction},
  author = {Murali, M and Mann, J and Parbhoo, Sonali},
  journal = {Anaesthesia},
  year = {2025},
}

AMIA

Where do doctors disagree? Characterizing Decision Points for Safe Reinforcement Learning in Choosing Vasopressor Treatment

E Brown, S Raval, A Rojas, and 6 more authors

In AMIA Annual Symposium Proceedings, 2025

PDF Bib

@inproceedings{Brown2025DecisionPoints,
  title = {Where do doctors disagree? Characterizing Decision Points for Safe Reinforcement Learning in Choosing Vasopressor Treatment},
  author = {Brown, E and Raval, S and Rojas, A and Yao, J and Parbhoo, Sonali and Celi, LA and Swaroop, S and Pan, W and others},
  booktitle = {AMIA Annual Symposium Proceedings},
  volume = {2024},
  pages = {222},
  year = {2025},
}

arXiv

Causal Bayesian Optimization with Unknown Graphs

Jean Durand, Yashas Annadani, Stefan Bauer, and 1 more author

arXiv preprint arXiv:2503.19554, 2025

PDF Bib

@article{Durand2025Causal,
  title = {Causal Bayesian Optimization with Unknown Graphs},
  author = {Durand, Jean and Annadani, Yashas and Bauer, Stefan and Parbhoo, Sonali},
  journal = {arXiv preprint arXiv:2503.19554},
  year = {2025},
}

COLM

Insights from the Inverse: Reconstructing LLM Training Goals Through Inverse Reinforcement Learning

J Joselowitz, R Majumdar, A Jagota, and 4 more authors

In Conference on Language Modeling, 2025

PDF Bib Code

@inproceedings{Joselowitz2025Insights,
  title = {Insights from the Inverse: Reconstructing LLM Training Goals Through Inverse Reinforcement Learning},
  author = {Joselowitz, J and Majumdar, R and Jagota, A and Bou, M and Patel, N and Krishna, S and others},
  booktitle = {Conference on Language Modeling},
  year = {2025},
}

RLC

Concept-Based Off-Policy Evaluation

Ritam Majumdar, J Teversham, and Sonali Parbhoo

In Reinforcement Learning Conference, 2025

PDF Bib

@inproceedings{Majumdar2025ConceptOPE,
  title = {Concept-Based Off-Policy Evaluation},
  author = {Majumdar, Ritam and Teversham, J and Parbhoo, Sonali},
  booktitle = {Reinforcement Learning Conference},
  year = {2025},
}

IUI

User Studies in Human-Feature-Integration

Yixin Li, Lucas Lefebvre, Sonali Parbhoo, and 2 more authors

In Joint Proceedings of the ACM IUI Workshops, 2025

PDF Bib

@inproceedings{Li2025UserStudies,
  title = {User Studies in Human-Feature-Integration},
  author = {Li, Yixin and Lefebvre, Lucas and Parbhoo, Sonali and Doshi-Velez, Finale and Lage, Isaac},
  booktitle = {Joint Proceedings of the ACM IUI Workshops},
  year = {2025},
}

ICLR Workshop

AlphaGo or beta-hCG: a reinforcement learning framework for assisted conception

S Hanassab, E Sheremetyeva, Sonali Parbhoo, and 3 more authors

In ICLR Workshop on AI for Children: Healthcare, Psychology, Education, 2025

PDF Bib

@inproceedings{Hanassab2025AlphaGo,
  title = {AlphaGo or beta-hCG: a reinforcement learning framework for assisted conception},
  author = {Hanassab, S and Sheremetyeva, E and Parbhoo, Sonali and Nelson, SM and Dhillo, WS and others},
  booktitle = {ICLR Workshop on AI for Children: Healthcare, Psychology, Education},
  year = {2025},
}

AISTATS

Do regularization methods for shortcut mitigation work as intended?

Haoyang Hong, Ioanna Papanikolaou, and Sonali Parbhoo

In The 28th International Conference on Artificial Intelligence and Statistics, 2025

PDF Bib Code

@inproceedings{Hong2025Regularization,
  title = {Do regularization methods for shortcut mitigation work as intended?},
  author = {Hong, Haoyang and Papanikolaou, Ioanna and Parbhoo, Sonali},
  booktitle = {The 28th International Conference on Artificial Intelligence and Statistics},
  year = {2025},
}

AISTATS

Decision-point guided safe policy improvement

Abhishek Sharma, Leo Benac, Sonali Parbhoo, and 1 more author

In The 28th International Conference on Artificial Intelligence and Statistics, 2025

PDF Bib

@inproceedings{Sharma2025DecisionPoint,
  title = {Decision-point guided safe policy improvement},
  author = {Sharma, Abhishek and Benac, Leo and Parbhoo, Sonali and Doshi-Velez, Finale},
  booktitle = {The 28th International Conference on Artificial Intelligence and Statistics},
  year = {2025},
}

2024

arXiv

Tree-based leakage inspection and control in concept bottleneck models

Angelos Ragkousis and Sonali Parbhoo

arXiv preprint arXiv:2410.06352, 2024

PDF Bib Code

@article{Ragkousis2024TreeBased,
  title = {Tree-based leakage inspection and control in concept bottleneck models},
  author = {Ragkousis, Angelos and Parbhoo, Sonali},
  journal = {arXiv preprint arXiv:2410.06352},
  year = {2024},
}

Blood

CD8+ T-cell differentiation and dysfunction inform treatment response in acute myeloid leukemia

F Mazziotta, L Biavati, J Rimando, and 4 more authors

Blood, 2024

PDF Bib

@article{Mazziotta2024CD8,
  title = {CD8+ T-cell differentiation and dysfunction inform treatment response in acute myeloid leukemia},
  author = {Mazziotta, F and Biavati, L and Rimando, J and Rutella, S and Borcherding, N and Parbhoo, Sonali and others},
  journal = {Blood},
  volume = {144},
  number = {11},
  pages = {1168--1182},
  year = {2024},
}

arXiv

Towards Integrating Personal Knowledge into Test-Time Predictions

Isaac Lage, Sonali Parbhoo, and Finale Doshi-Velez

arXiv preprint arXiv:2406.08636, 2024

PDF Bib

@article{Lage2024Personal,
  title = {Towards Integrating Personal Knowledge into Test-Time Predictions},
  author = {Lage, Isaac and Parbhoo, Sonali and Doshi-Velez, Finale},
  journal = {arXiv preprint arXiv:2406.08636},
  year = {2024},
}

arXiv

Guarantee Regions for Local Explanations

Marton Havasi, Sonali Parbhoo, and Finale Doshi-Velez

arXiv preprint arXiv:2402.12737, 2024

PDF Bib Code

@article{Havasi2024Guarantee,
  title = {Guarantee Regions for Local Explanations},
  author = {Havasi, Marton and Parbhoo, Sonali and Doshi-Velez, Finale},
  journal = {arXiv preprint arXiv:2402.12737},
  year = {2024},
}

JMLR

Rethinking discount regularization: New interpretations, unintended consequences, and solutions for regularization in reinforcement learning

Sarah Rathnam, Sonali Parbhoo, Siddharth Swaroop, and 3 more authors

Journal of Machine Learning Research, 2024

PDF Bib

@article{Rathnam2024Discount,
  title = {Rethinking discount regularization: New interpretations, unintended consequences, and solutions for regularization in reinforcement learning},
  author = {Rathnam, Sarah and Parbhoo, Sonali and Swaroop, Siddharth and Pan, Weiwei and Murphy, Susan A and Doshi-Velez, Finale},
  journal = {Journal of Machine Learning Research},
  volume = {25},
  number = {255},
  pages = {1--48},
  year = {2024},
}

TMLR

Task-Relevant Feature Selection with Prediction Focused Mixture Models

Abhishek Sharma, Catherine Zeng, Sanjana Narayanan, and 3 more authors

Transactions on Machine Learning Research, 2024

PDF Bib

@article{Sharma2024TaskRelevant,
  title = {Task-Relevant Feature Selection with Prediction Focused Mixture Models},
  author = {Sharma, Abhishek and Zeng, Catherine and Narayanan, Sanjana and Parbhoo, Sonali and Perlis, Roy H and Doshi-Velez, Finale},
  journal = {Transactions on Machine Learning Research},
  year = {2024},
}

MLHC

Decision-Focused Model-based Reinforcement Learning for Reward Transfer

Abhishek Sharma, Sonali Parbhoo, Omer Gottesman, and 1 more author

In Proceedings of Machine Learning Research, 2024

PDF Bib Code

@inproceedings{Sharma2024DecisionFocused,
  title = {Decision-Focused Model-based Reinforcement Learning for Reward Transfer},
  author = {Sharma, Abhishek and Parbhoo, Sonali and Gottesman, Omer and Doshi-Velez, Finale},
  booktitle = {Proceedings of Machine Learning Research},
  volume = {252},
  pages = {1--39},
  year = {2024},
}

2023

ICML Workshop

Bayesian Inverse Transition Learning for Offline Settings

L Benac, Sonali Parbhoo, and Finale Doshi-Velez

In ICML 2023 Workshop on Interactive Learning with Implicit Human Feedback, 2023

PDF Bib

@inproceedings{Benac2023Bayesian,
  title = {Bayesian Inverse Transition Learning for Offline Settings},
  author = {Benac, L and Parbhoo, Sonali and Doshi-Velez, Finale},
  booktitle = {ICML 2023 Workshop on Interactive Learning with Implicit Human Feedback},
  year = {2023},
}

ICML Workshop

Leveraging factored action spaces for off-policy evaluation

A Rebello, S Tang, J Wiens, and 1 more author

In ICML Workshop on Structured Probabilistic Inference & Generative Modeling, 2023

PDF Bib Code

@inproceedings{Rebello2023Leveraging,
  title = {Leveraging factored action spaces for off-policy evaluation},
  author = {Rebello, A and Tang, S and Wiens, J and Parbhoo, Sonali},
  booktitle = {ICML Workshop on Structured Probabilistic Inference \& Generative Modeling},
  year = {2023},
}

ICML

The unintended consequences of discount regularization: Improving regularization in certainty equivalence reinforcement learning

S Rathnam, Sonali Parbhoo, W Pan, and 2 more authors

In International Conference on Machine Learning, 2023

PDF Bib

@inproceedings{Rathnam2023Unintended,
  title = {The unintended consequences of discount regularization: Improving regularization in certainty equivalence reinforcement learning},
  author = {Rathnam, S and Parbhoo, Sonali and Pan, W and Murphy, S and Doshi-Velez, Finale},
  booktitle = {International Conference on Machine Learning},
  pages = {28746--28767},
  year = {2023},
}

ATS

Early Vs Late Initiation of Vasopressors in Sepsis: An Augmented Inverse Probability Weighting Approach

DC Marshall, J Zhang, S Hao, and 3 more authors

In American Thoracic Society 2023 International Conference, 2023

Bib

@inproceedings{Marshall2023Early,
  title = {Early Vs Late Initiation of Vasopressors in Sepsis: An Augmented Inverse Probability Weighting Approach},
  author = {Marshall, DC and Zhang, J and Hao, S and Celi, L and Parbhoo, Sonali and Komorowski, M},
  booktitle = {American Thoracic Society 2023 International Conference},
  pages = {A5928--A5928},
  year = {2023},
}

TMLR

Risk sensitive dead-end identification in safety-critical offline reinforcement learning

TW Killian, Sonali Parbhoo, and M Ghassemi

Transactions on Machine Learning Research, 2023

PDF Bib Code

@article{Killian2023Risk,
  title = {Risk sensitive dead-end identification in safety-critical offline reinforcement learning},
  author = {Killian, TW and Parbhoo, Sonali and Ghassemi, M},
  journal = {Transactions on Machine Learning Research},
  year = {2023},
}

CAMLIS

Adaptive experimental design for intrusion data collection

K Highnam, Z Hanif, E Van Vogt, and 3 more authors

In CAMLIS’23: Conference on Applied Machine Learning for Information Security, 2023

PDF Bib

@inproceedings{Highnam2023Adaptive,
  title = {Adaptive experimental design for intrusion data collection},
  author = {Highnam, K and Hanif, Z and Van Vogt, E and Parbhoo, Sonali and Maffeis, S and Jennings, NR},
  booktitle = {CAMLIS'23: Conference on Applied Machine Learning for Information Security},
  year = {2023},
}

2022

MLHC

Learning optimal summaries of clinical time-series with concept bottleneck models

C Wu, Sonali Parbhoo, M Havasi, and 1 more author

In Machine Learning for Healthcare Conference, 2022

PDF Bib Code

@inproceedings{Wu2022Summaries,
  title = {Learning optimal summaries of clinical time-series with concept bottleneck models},
  author = {Wu, C and Parbhoo, Sonali and Havasi, M and Doshi-Velez, Finale},
  booktitle = {Machine Learning for Healthcare Conference},
  pages = {648--672},
  year = {2022},
}

NeurIPS

Addressing leakage in concept bottleneck models

Marton Havasi, Sonali Parbhoo, and Finale Doshi-Velez

In Advances in Neural Information Processing Systems, 2022

PDF Bib Code

@inproceedings{Havasi2022Leakage,
  title = {Addressing leakage in concept bottleneck models},
  author = {Havasi, Marton and Parbhoo, Sonali and Doshi-Velez, Finale},
  booktitle = {Advances in Neural Information Processing Systems},
  volume = {35},
  pages = {23386--23397},
  year = {2022},
}

arXiv

Policy optimization with sparse global contrastive explanations

J Yao, Sonali Parbhoo, W Pan, and 1 more author

arXiv preprint arXiv:2207.06269, 2022

PDF Bib

@article{Yao2022Policy,
  title = {Policy optimization with sparse global contrastive explanations},
  author = {Yao, J and Parbhoo, Sonali and Pan, W and Doshi-Velez, Finale},
  journal = {arXiv preprint arXiv:2207.06269},
  year = {2022},
}

BMJ HCI

Operationalising fairness in medical algorithms

Sonali Parbhoo, JW Gichoya, LA Celi, and 1 more author

BMJ Health & Care Informatics, 2022

Bib

@article{Parbhoo2022Operationalising,
  title = {Operationalising fairness in medical algorithms},
  author = {Parbhoo, Sonali and Gichoya, JW and Celi, LA and de la Hoz, MAA},
  journal = {BMJ Health \& Care Informatics},
  volume = {29},
  number = {1},
  pages = {e100617},
  year = {2022},
}

AMIA

Learning predictive and interpretable timeseries summaries from ICU data

N Johnson, Sonali Parbhoo, AS Ross, and 1 more author

In AMIA Annual Symposium Proceedings, 2022

PDF Bib

@inproceedings{Johnson2022Learning,
  title = {Learning predictive and interpretable timeseries summaries from ICU data},
  author = {Johnson, N and Parbhoo, Sonali and Ross, AS and Doshi-Velez, Finale},
  booktitle = {AMIA Annual Symposium Proceedings},
  volume = {2021},
  pages = {581},
  year = {2022},
}

arXiv

Generalizing off-policy evaluation from a causal perspective for sequential decision-making

Sonali Parbhoo, S Joshi, and Finale Doshi-Velez

arXiv preprint arXiv:2201.08262, 2022

PDF Bib

@article{Parbhoo2022Generalizing,
  title = {Generalizing off-policy evaluation from a causal perspective for sequential decision-making},
  author = {Parbhoo, Sonali and Joshi, S and Doshi-Velez, Finale},
  journal = {arXiv preprint arXiv:2201.08262},
  year = {2022},
}

2021

DAGM GCPR

Learning conditional invariance through cycle consistency

M Samarin, V Nesterov, M Wieser, and 3 more authors

In Pattern Recognition: 43rd DAGM German Conference, DAGM GCPR 2021, 2021

PDF Bib Code

@inproceedings{Samarin2021Conditional,
  title = {Learning conditional invariance through cycle consistency},
  author = {Samarin, M and Nesterov, V and Wieser, M and Wieczorek, A and Parbhoo, Sonali and Roth, V},
  booktitle = {Pattern Recognition: 43rd DAGM German Conference, DAGM GCPR 2021},
  pages = {376--391},
  year = {2021},
}

JAIR

Optimizing for interpretability in deep neural networks with tree regularization

Mike Wu, Sonali Parbhoo, MC Hughes, and 2 more authors

Journal of Artificial Intelligence Research, 2021

PDF Bib

@article{Wu2021Optimizing,
  title = {Optimizing for interpretability in deep neural networks with tree regularization},
  author = {Wu, Mike and Parbhoo, Sonali and Hughes, MC and Roth, Volker and Doshi-Velez, Finale},
  journal = {Journal of Artificial Intelligence Research},
  volume = {72},
  pages = {1--37},
  year = {2021},
}

TMLR

Learning-to-defer for sequential medical decision-making under uncertainty

S Joshi, Sonali Parbhoo, and Finale Doshi-Velez

Transactions on Machine Learning Research, 2021

PDF Bib

@article{Joshi2021LearningToDefer,
  title = {Learning-to-defer for sequential medical decision-making under uncertainty},
  author = {Joshi, S and Parbhoo, Sonali and Doshi-Velez, Finale},
  journal = {Transactions on Machine Learning Research},
  year = {2021},
}

AMIA

Preferential mixture-of-experts: Interpretable models that rely on human expertise as much as possible

MF Pradier, J Zazo, Sonali Parbhoo, and 3 more authors

In AMIA Summits on Translational Science Proceedings, 2021

PDF Bib

@inproceedings{Pradier2021Preferential,
  title = {Preferential mixture-of-experts: Interpretable models that rely on human expertise as much as possible},
  author = {Pradier, MF and Zazo, J and Parbhoo, Sonali and Perlis, RH and Zazzi, M and Doshi-Velez, Finale},
  booktitle = {AMIA Summits on Translational Science Proceedings},
  volume = {2021},
  pages = {525},
  year = {2021},
}

arXiv

Ncore: Neural counterfactual representation learning for combinations of treatments

Sonali Parbhoo, Stefan Bauer, and Patrick Schwab

arXiv preprint arXiv:2103.11175, 2021

PDF Bib

@article{Parbhoo2021Ncore,
  title = {Ncore: Neural counterfactual representation learning for combinations of treatments},
  author = {Parbhoo, Sonali and Bauer, Stefan and Schwab, Patrick},
  journal = {arXiv preprint arXiv:2103.11175},
  year = {2021},
}

Nat Commun

Real-time prediction of COVID-19 related mortality using electronic health records

P Schwab, A Mehrjou, Sonali Parbhoo, and 5 more authors

Nature Communications, 2021

PDF Bib

@article{Schwab2021RealTime,
  title = {Real-time prediction of COVID-19 related mortality using electronic health records},
  author = {Schwab, P and Mehrjou, A and Parbhoo, Sonali and Celi, LA and Hetzel, J and Hofer, M and Schölkopf, B and others},
  journal = {Nature Communications},
  volume = {12},
  number = {1},
  pages = {1058},
  year = {2021},
}

2020

NeurIPS Workshop

Shaping Control Variates for Off-Policy Evaluation

Sonali Parbhoo, Omer Gottesman, and Finale Doshi-Velez

In Offline Reinforcement Learning Workshop at Neural Information Processing Systems, 2020

PDF Bib

@inproceedings{Parbhoo2020Shaping,
  title = {Shaping Control Variates for Off-Policy Evaluation},
  author = {Parbhoo, Sonali and Gottesman, Omer and Doshi-Velez, Finale},
  booktitle = {Offline Reinforcement Learning Workshop at Neural Information Processing Systems},
  year = {2020},
}

AAAI

Regional Tree Regularization for Interpretability in Deep Neural Networks

Mike Wu, Sonali Parbhoo, Michael Hughes, and 5 more authors

In Proceedings of the AAAI Conference on Artificial Intelligence, 2020

PDF Bib

@inproceedings{Wu2019Regional,
  title = {Regional Tree Regularization for Interpretability in Deep Neural Networks},
  author = {Wu, Mike and Parbhoo, Sonali and Hughes, Michael and Kindle, Ryan and Celi, Leo and Zazzi, Maurizio and Roth, Volker and Doshi-Velez, Finale},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {34},
  year = {2020},
}

JAIDS

Host genomics of the HIV-1 reservoir size and its decay rate during suppressive antiretroviral treatment

CW Thorball, A Borghesi, N Bachmann, and 3 more authors

JAIDS Journal of Acquired Immune Deficiency Syndromes, 2020

PDF Bib

@article{Thorball2020Host,
  title = {Host genomics of the HIV-1 reservoir size and its decay rate during suppressive antiretroviral treatment},
  author = {Thorball, CW and Borghesi, A and Bachmann, N and Von Siebenthal, C and Vongrad, V and others},
  journal = {JAIDS Journal of Acquired Immune Deficiency Syndromes},
  volume = {85},
  number = {4},
  pages = {517--524},
  year = {2020},
}

ICML

Interpretable off-policy evaluation in reinforcement learning by highlighting influential transitions

Omer Gottesman, J Futoma, Y Liu, and 4 more authors

In International Conference on Machine Learning, 2020

PDF Bib Code

@inproceedings{Gottesman2020Interpretable,
  title = {Interpretable off-policy evaluation in reinforcement learning by highlighting influential transitions},
  author = {Gottesman, Omer and Futoma, J and Liu, Y and Parbhoo, Sonali and Celi, L and Brunskill, E and others},
  booktitle = {International Conference on Machine Learning},
  pages = {3658--3667},
  year = {2020},
}

MLHC

Transfer Learning from Well-Curated to Less-Resourced Populations with HIV

Sonali Parbhoo, Mario Wieser, Volker Roth, and 1 more author

In Proceedings of Machine Learning Research, 2020

PDF Bib

@inproceedings{Parbhoo2020Transfer,
  title = {Transfer Learning from Well-Curated to Less-Resourced Populations with HIV},
  author = {Parbhoo, Sonali and Wieser, Mario and Roth, Volker and Doshi-Velez, Finale},
  booktitle = {Proceedings of Machine Learning Research},
  volume = {126},
  pages = {589--609},
  year = {2020},
}

Entropy

Information bottleneck for estimating treatment effects with systematically missing covariates

Sonali Parbhoo, Mario Wieser, Aleksander Wieczorek, and 1 more author

Entropy, 2020

PDF Bib

@article{Parbhoo2020Information,
  title = {Information bottleneck for estimating treatment effects with systematically missing covariates},
  author = {Parbhoo, Sonali and Wieser, Mario and Wieczorek, Aleksander and Roth, Volker},
  journal = {Entropy},
  volume = {22},
  number = {4},
  pages = {389},
  year = {2020},
}

NeurIPS

Inverse Learning of Symmetries

Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, and 1 more author

In Advances in Neural Information Processing Systems, 2020

PDF Bib

@inproceedings{Wieser2020Inverse,
  title = {Inverse Learning of Symmetries},
  author = {Wieser, Mario and Parbhoo, Sonali and Wieczorek, Aleksander and Roth, Volker},
  booktitle = {Advances in Neural Information Processing Systems},
  volume = {33},
  year = {2020},
}

2019

PhD Thesis

Causal Inference and Interpretable Machine Learning for Personalised Medicine

Sonali Parbhoo

University of Basel, 2019

PDF Bib

@phdthesis{Parbhoo2019Thesis,
  title = {Causal Inference and Interpretable Machine Learning for Personalised Medicine},
  author = {Parbhoo, Sonali},
  school = {University of Basel},
  year = {2019},
}

Nat Commun

Determinants of HIV-1 reservoir size and long-term dynamics during suppressive ART

N Bachmann, C Von Siebenthal, V Vongrad, and 3 more authors

Nature Communications, 2019

PDF Bib

@article{Bachmann2019Determinants,
  title = {Determinants of HIV-1 reservoir size and long-term dynamics during suppressive ART},
  author = {Bachmann, N and Von Siebenthal, C and Vongrad, V and Turk, T and Neumann, K and others},
  journal = {Nature Communications},
  volume = {10},
  number = {1},
  pages = {3193},
  year = {2019},
}

CVPR

Greedy structure learning of hierarchical compositional models

A Kortylewski, A Wieczorek, M Wieser, and 3 more authors

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019

PDF Bib

@inproceedings{Kortylewski2019Greedy,
  title = {Greedy structure learning of hierarchical compositional models},
  author = {Kortylewski, A and Wieczorek, A and Wieser, M and Blumer, C and Parbhoo, Sonali and others},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2019},
}

2018

arXiv

Informed mcmc with bayesian neural networks for facial image analysis

Adam Kortylewski, Mario Wieser, Andreas Morel-Forster, and 4 more authors

arXiv preprint arXiv:1811.07969, 2018

PDF Bib Code

@article{Kortylewski2018Informed,
  title = {Informed mcmc with bayesian neural networks for facial image analysis},
  author = {Kortylewski, Adam and Wieser, Mario and Morel-Forster, Andreas and Wieczorek, Aleksander and Parbhoo, Sonali and Roth, Volker and Vetter, Thomas},
  journal = {arXiv preprint arXiv:1811.07969},
  year = {2018},
}

PLOS ONE

Improving counterfactual reasoning with kernelised dynamic mixing models

Sonali Parbhoo, Omer Gottesman, AS Ross, and 4 more authors

PloS One, 2018

PDF Bib

@article{Parbhoo2018Counterfactual,
  title = {Improving counterfactual reasoning with kernelised dynamic mixing models},
  author = {Parbhoo, Sonali and Gottesman, Omer and Ross, AS and Komorowski, M and Faisal, A and Bon, I and others},
  journal = {PloS One},
  volume = {13},
  number = {11},
  pages = {e0205839},
  year = {2018},
}

2017

AAAI

Beyond sparsity: Tree regularization of deep models for interpretability

Mike Wu, MC Hughes, Sonali Parbhoo, and 3 more authors

In 32nd AAAI Conference on Artificial Intelligence, 2017

PDF Bib Code

@inproceedings{Wu2017Beyond,
  title = {Beyond sparsity: Tree regularization of deep models for interpretability},
  author = {Wu, Mike and Hughes, MC and Parbhoo, Sonali and Zazzi, Maurizio and Roth, Volker and Doshi-Velez, Finale},
  booktitle = {32nd AAAI Conference on Artificial Intelligence},
  year = {2017},
}

AMIA

Combining kernel and model based learning for HIV therapy selection

Sonali Parbhoo, J Bogojeska, M Zazzi, and 2 more authors

In AMIA Summits on Translational Science Proceedings, 2017

PDF Bib

@inproceedings{Parbhoo2017Combining,
  title = {Combining kernel and model based learning for HIV therapy selection},
  author = {Parbhoo, Sonali and Bogojeska, J and Zazzi, M and Roth, V and Doshi-Velez, Finale},
  booktitle = {AMIA Summits on Translational Science Proceedings},
  volume = {2017},
  pages = {239},
  year = {2017},
}

2016

AISTATS

Bayesian markov blanket estimation

D Kaufmann, Sonali Parbhoo, A Wieczorek, and 3 more authors

In Artificial Intelligence and Statistics, 2016

PDF Bib

@inproceedings{Kaufmann2016Bayesian,
  title = {Bayesian markov blanket estimation},
  author = {Kaufmann, D and Parbhoo, Sonali and Wieczorek, A and Keller, S and Adametz, D and Roth, V},
  booktitle = {Artificial Intelligence and Statistics},
  pages = {333--341},
  year = {2016},
}

2014

MSc Thesis

A reinforcement learning design for HIV clinical trials

Sonali Parbhoo

University of the Witwatersrand, 2014

Bib

@phdthesis{Parbhoo2014Reinforcement,
  title = {A reinforcement learning design for HIV clinical trials},
  author = {Parbhoo, Sonali},
  school = {University of the Witwatersrand},
  year = {2014},
}