Parbhoo, Sonali

23 publications

ICLRW 2025 AlphaGo or Beta-hCG: A Reinforcement Learning Framework for Assisted Conception Simon Hanassab, Elizaveta Sheremetyeva, Sonali Parbhoo, Scott M. Nelson, Waljit S. Dhillo, Ali Abbara, Thomas Heinis

ICLRW 2025 AlphaGo or Beta-hCG: A Reinforcement Learning Framework for Assisted Conception Simon Hanassab, Elizaveta Sheremetyeva, Sonali Parbhoo, Scott Nelson, Professor Waljit Dhillo, Thomas Heinis, Ali Abbara

AISTATS 2025 Decision-Point Guided Safe Policy Improvement Abhishek Sharma, Leo Benac, Sonali Parbhoo, Finale Doshi-Velez

AISTATS 2025 Do Regularization Methods for Shortcut Mitigation Work as Intended? Haoyang Hong, Ioanna Papanikolaou, Sonali Parbhoo

MLHC 2025 Improving ARDS Diagnosis Through Context-Aware Concept Bottleneck Models Anish Narain, Ritam Majumdar, Nikita Narayanan, Dominic C Marshall, Sonali Parbhoo

MLHC 2024 Decision-Focused Model-Based Reinforcement Learning for Reward Transfer Abhishek Sharma, Sonali Parbhoo, Omer Gottesman, Finale Doshi-Velez

JMLR 2024 Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning Sarah Rathnam, Sonali Parbhoo, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez

TMLR 2024 Task-Relevant Feature Selection with Prediction Focused Mixture Models Abhishek Sharma, Catherine Zeng, Sanjana Narayanan, Sonali Parbhoo, Roy H. Perlis, Finale Doshi-Velez

ICMLW 2023 Bayesian Inverse Transition Learning for Offline Settings Leo Benac, Sonali Parbhoo, Finale Doshi-Velez

TMLR 2023 Learning-to-Defer for Sequential Medical Decision-Making Under Uncertainty Shalmali Joshi, Sonali Parbhoo, Finale Doshi-Velez

ICMLW 2023 Leveraging Factored Action Spaces for Off-Policy Evaluation Aaman Peter Rebello, Shengpu Tang, Jenna Wiens, Sonali Parbhoo

TMLR 2023 Risk Sensitive Dead-End Identification in Safety-Critical Offline Reinforcement Learning Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi

ICML 2023 The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan Murphy, Finale Doshi-Velez

MLHC 2023 Which Explanation Makes Sense? a Critical Evaluation of Local Explanations for Assessing Cervical Cancer Risk Celia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read, Sonali Parbhoo

NeurIPS 2022 Addressing Leakage in Concept Bottleneck Models Marton Havasi, Sonali Parbhoo, Finale Doshi-Velez

MLHC 2022 Learning Optimal Summaries of Clinical Time-Series with Concept Bottleneck Models Carissa Wu, Sonali Parbhoo, Marton Havasi, Finale Doshi-Velez

JAIR 2021 Optimizing for Interpretability in Deep Neural Networks with Tree Regularization Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth, Finale Doshi-Velez

ICML 2020 Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo Celi, Emma Brunskill, Finale Doshi-Velez

NeurIPS 2020 Inverse Learning of Symmetries Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth

AAAI 2020 Regional Tree Regularization for Interpretability in Deep Neural Networks Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez

MLHC 2020 Transfer Learning from Well-Curated to Less-Resourced Populations with HIV Sonali Parbhoo, Mario Wieser, Volker Roth, Finale Doshi-Velez

AAAI 2018 Beyond Sparsity: Tree Regularization of Deep Models for Interpretability Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez

AISTATS 2016 Bayesian Markov Blanket Estimation Dinu Kaufmann, Sonali Parbhoo, Aleksander Wieczorek, Sebastian Keller, David Adametz, Volker Roth