publications

2025

1. 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

   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},
   }

2. arXiv

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

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

   arXiv preprint arXiv:2510.06096, 2025

   Bib

   @article{Bou2025AlignmentAuditor,
     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},
     journal = {arXiv preprint arXiv:2510.06096},
     year = {2025},
   }

3. 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

   arXiv Bib

   @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},
   }

4. Anaesthesia

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

   M Murali, J Mann, and Sonali Parbhoo

   Anaesthesia, 2025

   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},
   }

5. 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

   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},
   }

6. arXiv

   Causal Bayesian Optimization with Unknown Graphs

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

   arXiv preprint arXiv:2503.19554, 2025

   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},
   }

7. 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

   arXiv Bib

   @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},
   }

8. RLC

   Concept-Based Off-Policy Evaluation

   Ritam Majumdar, J Teversham, and Sonali Parbhoo

   In Reinforcement Learning Conference, 2025

   arXiv Bib

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

9. 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

   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},
   }

10. 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

    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},
    }

11. 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

    arXiv Bib

    @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},
    }

12. 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

    arXiv 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

1. arXiv

   Inverse Transition Learning: Learning Dynamics from Demonstrations

   L Benac, A Sharma, Sonali Parbhoo, and 1 more author

   arXiv preprint arXiv:2411.05174, 2024

   Bib

   @article{Benac2024Inverse,
     title = {Inverse Transition Learning: Learning Dynamics from Demonstrations},
     author = {Benac, L and Sharma, A and Parbhoo, Sonali and Doshi-Velez, Finale},
     journal = {arXiv preprint arXiv:2411.05174},
     year = {2024},
   }

2. arXiv

   Tree-based leakage inspection and control in concept bottleneck models

   Angelos Ragkousis and Sonali Parbhoo

   arXiv preprint arXiv:2410.06352, 2024

   Bib

   @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},
   }

3. 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

   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},
   }

4. arXiv

   Towards Integrating Personal Knowledge into Test-Time Predictions

   Isaac Lage, Sonali Parbhoo, and Finale Doshi-Velez

   arXiv preprint arXiv:2406.08636, 2024

   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},
   }

5. arXiv

   Guarantee Regions for Local Explanations

   Marton Havasi, Sonali Parbhoo, and Finale Doshi-Velez

   arXiv preprint arXiv:2402.12737, 2024

   Bib

   @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},
   }

6. 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

   arXiv 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},
   }

7. 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

   arXiv 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},
   }

8. 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

   arXiv Bib

   @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

1. arXiv

   Bayesian Inverse Transition Learning for Offline Settings

   L Benac, Sonali Parbhoo, and Finale Doshi-Velez

   arXiv preprint arXiv:2308.05075, 2023

   Bib

   @article{Benac2023Bayesian,
     title = {Bayesian Inverse Transition Learning for Offline Settings},
     author = {Benac, L and Parbhoo, Sonali and Doshi-Velez, Finale},
     journal = {arXiv preprint arXiv:2308.05075},
     year = {2023},
   }

2. 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

   arXiv Bib

   @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},
   }

3. 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

   arXiv 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},
   }

4. 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},
   }

5. 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

   arXiv Bib

   @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},
   }

6. 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

   arXiv 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

1. 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

   Bib

   @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},
   }

2. NeurIPS

   Addressing leakage in concept bottleneck models

   Marton Havasi, Sonali Parbhoo, and Finale Doshi-Velez

   In Advances in Neural Information Processing Systems, 2022

   Bib

   @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},
   }

3. arXiv

   Policy optimization with sparse global contrastive explanations

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

   arXiv preprint arXiv:2207.06269, 2022

   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},
   }

4. 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},
   }

5. 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

   arXiv 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},
   }

6. 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

   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},
   }

7. DAGM GCPR

   Learning Conditional Invariance Through Cycle Consistency

   Sonali Parbhoo and Volker Roth

   In Pattern Recognition: 43rd DAGM German Conference, 2022

   arXiv Bib

   @inproceedings{Parbhoo2022Cycle,
     title = {Learning Conditional Invariance Through Cycle Consistency},
     author = {Parbhoo, Sonali and Roth, Volker},
     booktitle = {Pattern Recognition: 43rd DAGM German Conference},
     year = {2022},
   }

2021

1. DAGM GCPR

   Learning conditional invariance through cycle consistency

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

   2021

   arXiv Bib

   @article{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 = {DAGM German Conference on Pattern Recognition},
     pages = {376--391},
     year = {2021},
   }

2. 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

   arXiv 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},
   }

3. 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

   arXiv 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},
   }

4. 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

   arXiv 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},
   }

5. arXiv

   Ncore: Neural counterfactual representation learning for combinations of treatments

   Sonali Parbhoo, Stefan Bauer, and Patrick Schwab

   arXiv preprint arXiv:2103.11175, 2021

   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},
   }

6. 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

   arXiv 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

1. 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

   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},
   }

2. 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

   arXiv Bib

   @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},
   }

3. 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

   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},
   }

4. Entropy

   Information bottleneck for estimating treatment effects with systematically missing covariates

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

   Entropy, 2020

   arXiv 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},
   }

5. NeurIPS

   Inverse Learning of Symmetries

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

   In Advances in Neural Information Processing Systems, 2020

   arXiv 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

1. PhD Thesis

   Causal Inference and Interpretable Machine Learning for Personalised Medicine

   Sonali Parbhoo

   University of Basel, 2019

   Bib

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

2. 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

   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},
   }

3. 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

   arXiv 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

1. PLOS ONE

   Improving counterfactual reasoning with kernelised dynamic mixing models

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

   PloS One, 2018

   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

1. 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

   arXiv Bib

   @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},
   }

2. 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

   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

1. AISTATS

   Bayesian markov blanket estimation

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

   In Artificial Intelligence and Statistics, 2016

   arXiv 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

1. 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},
   }