Sonali Parbhoo

63 papers A* 7A 3Misc 1Journal 43Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Causal Bayesian Optimization with Unknown Graphs. CoRR Jean Durand, Yashas Annadani, Stefan Bauer, Sonali Parbhoo
2025	A	`conf`	Decision-Point Guided Safe Policy Improvement. AISTATS Abhishek Sharma, Leo Benac, Sonali Parbhoo, Finale Doshi-Velez
2025	A	`conf`	Do Regularization Methods for Shortcut Mitigation Work As Intended? AISTATS Haoyang Hong, Ioanna Papanikolaou, Sonali Parbhoo
2025	J	`jnl`	Do regularization methods for shortcut mitigation work as intended? CoRR Haoyang Hong, Ioanna Papanikolaou, Sonali Parbhoo
2025	J	`jnl`	Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models. CoRR Célia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Sonali Parbhoo, Jesse Read
2025	—	`conf`	Improving ARDS Diagnosis Through Context-Aware Concept Bottleneck Models. MLHC Anish Narain, Ritam Majumdar, Nikita Narayanan, Dominic C. Marshall, Sonali Parbhoo
2025	J	`jnl`	Improving ARDS Diagnosis Through Context-Aware Concept Bottleneck Models. CoRR Anish Narain, Ritam Majumdar, Nikita Narayanan, Dominic Marshall, Sonali Parbhoo
2025	J	`jnl`	Learning from Failures: Understanding LLM Alignment through Failure-Aware Inverse RL. CoRR Nyal Patel, Matthieu Bou, Arjun Jagota, Satyapriya Krishna, Sonali Parbhoo
2025	J	`jnl`	The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives. CoRR Matthieu Bou, Nyal Patel, Arjun Jagota, Satyapriya Krishna, Sonali Parbhoo
2025	—	`conf`	User Studies in Human-Feature-Integration. IUI Workshops Yixin Li, Lucas Lefebvre, Sonali Parbhoo, Finale Doshi-Velez, Isaac Lage
2024	J	`jnl`	Concept-driven Off Policy Evaluation. CoRR Ritam Majumdar, Jack Teversham, Sonali Parbhoo
2024	—	`conf`	Decision-Focused Model-based Reinforcement Learning for Reward Transfer. MLHC Abhishek Sharma, Sonali Parbhoo, Omer Gottesman, Finale Doshi-Velez
2024	J	`jnl`	Decision-Point Guided Safe Policy Improvement. CoRR Abhishek Sharma, Leo Benac, Sonali Parbhoo, Finale Doshi-Velez
2024	J	`jnl`	Guarantee Regions for Local Explanations. CoRR Marton Havasi, Sonali Parbhoo, Finale Doshi-Velez
2024	J	`jnl`	Insights from the Inverse: Reconstructing LLM Training Goals Through Inverse RL. CoRR Jared Joselowitz, Arjun Jagota, Satyapriya Krishna, Sonali Parbhoo
2024	J	`jnl`	Inverse Transition Learning: Learning Dynamics from Demonstrations. CoRR Leo Benac, Abhishek Sharma, Sonali Parbhoo, Finale Doshi-Velez
2024	J	`jnl`	Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning. J. Mach. Learn. Res. Sarah Rathnam, Sonali Parbhoo, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2024	J	`jnl`	Task-Relevant Feature Selection with Prediction Focused Mixture Models. Trans. Mach. Learn. Res. Abhishek Sharma, Catherine Zeng, Sanjana Narayanan, Sonali Parbhoo, Roy H. Perlis, Finale Doshi-Velez
2024	J	`jnl`	Towards Integrating Personal Knowledge into Test-Time Predictions. CoRR Isaac Lage, Sonali Parbhoo, Finale Doshi-Velez
2024	J	`jnl`	Tree-Based Leakage Inspection and Control in Concept Bottleneck Models. CoRR Angelos Ragkousis, Sonali Parbhoo
2023	—	`conf`	Adaptive Experimental Design for Intrusion Data Collection. CAMLIS Kate Highnam, Zach Hanif, Ellie Van Vogt, Sonali Parbhoo, Sergio Maffeis, Nicholas R. Jennings
2023	J	`jnl`	Adaptive Experimental Design for Intrusion Data Collection. CoRR Kate Highnam, Zach Hanif, Ellie Van Vogt, Sonali Parbhoo, Sergio Maffeis, Nicholas R. Jennings
2023	J	`jnl`	Bayesian Inverse Transition Learning for Offline Settings. CoRR Leo Benac, Sonali Parbhoo, Finale Doshi-Velez
2023	J	`jnl`	Learning-to-defer for sequential medical decision-making under uncertainty. Trans. Mach. Learn. Res. Shalmali Joshi, Sonali Parbhoo, Finale Doshi-Velez
2023	J	`jnl`	Leveraging Factored Action Spaces for Off-Policy Evaluation. CoRR Aaman Rebello, Shengpu Tang, Jenna Wiens, Sonali Parbhoo
2023	J	`jnl`	Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning. CoRR Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi
2023	J	`jnl`	Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning. Trans. Mach. Learn. Res. Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi
2023	J	`jnl`	Robust Decision-Focused Learning for Reward Transfer. CoRR Abhishek Sharma, Sonali Parbhoo, Omer Gottesman, Finale Doshi-Velez
2023	A*	`conf`	The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning. ICML Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2023	J	`jnl`	The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning. CoRR Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2023	—	`conf`	Which Explanation Makes Sense? A Critical Evaluation of Local Explanations for Assessing Cervical Cancer Risk. MLHC Célia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read, Sonali Parbhoo
2022	A*	`conf`	Addressing Leakage in Concept Bottleneck Models. NeurIPS Marton Havasi, Sonali Parbhoo, Finale Doshi-Velez
2022	J	`jnl`	Generalizing Off-Policy Evaluation From a Causal Perspective For Sequential Decision-Making. CoRR Sonali Parbhoo, Shalmali Joshi, Finale Doshi-Velez
2022	—	`conf`	Learning Optimal Summaries of Clinical Time-series with Concept Bottleneck Models. MLHC Carissa Wu, Sonali Parbhoo, Marton Havasi, Finale Doshi-Velez
2022	J	`jnl`	Policy Optimization with Sparse Global Contrastive Explanations. CoRR Jiayu Yao, Sonali Parbhoo, Weiwei Pan, Finale Doshi-Velez
2021	—	`conf`	Learning Conditional Invariance Through Cycle Consistency. GCPR Maxim Samarin, Vitali Nesterov, Mario Wieser, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth
2021	J	`jnl`	Learning Conditional Invariance through Cycle Consistency. CoRR Maxim Samarin, Vitali Nesterov, Mario Wieser, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth
2021	Misc	`conf`	Learning Predictive and Interpretable Timeseries Summaries from ICU Data. AMIA Nari Johnson, Sonali Parbhoo, Andrew Slavin Ross, Finale Doshi-Velez
2021	J	`jnl`	Learning Predictive and Interpretable Timeseries Summaries from ICU Data. CoRR Nari Johnson, Sonali Parbhoo, Andrew Slavin Ross, Finale Doshi-Velez
2021	J	`jnl`	NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments. CoRR Sonali Parbhoo, Stefan Bauer, Patrick Schwab
2021	J	`jnl`	On Learning Prediction-Focused Mixtures. CoRR Abhishek Sharma, Catherine Zeng, Sanjana Narayanan, Sonali Parbhoo, Finale Doshi-Velez
2021	J	`jnl`	Optimizing for Interpretability in Deep Neural Networks with Tree Regularization. J. Artif. Intell. Res. Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth, Finale Doshi-Velez
2021	J	`jnl`	Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty. CoRR Shalmali Joshi, Sonali Parbhoo, Finale Doshi-Velez
2021	J	`jnl`	Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible. CoRR Melanie F. Pradier, Javier Zazo, Sonali Parbhoo, Roy H. Perlis, Maurizio Zazzi, Finale Doshi-Velez
2020	J	`jnl`	Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates. Entropy Sonali Parbhoo, Mario Wieser, Aleksander Wieczorek, Volker Roth
2020	A*	`conf`	Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions. ICML Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo A. Celi, Emma Brunskill, Finale Doshi-Velez
2020	J	`jnl`	Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions. CoRR Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo Anthony Celi, Emma Brunskill, Finale Doshi-Velez
2020	A*	`conf`	Inverse Learning of Symmetries. NeurIPS Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth
2020	J	`jnl`	Inverse Learning of Symmetry Transformations. CoRR Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth
2020	J	`jnl`	Real-time Prediction of COVID-19 related Mortality using Electronic Health Records. CoRR Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer
2020	A*	`conf`	Regional Tree Regularization for Interpretability in Deep Neural Networks. AAAI Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
2020	—	`conf`	Transfer Learning from Well-Curated to Less-Resourced Populations with HIV. MLHC Sonali Parbhoo, Mario Wieser, Volker Roth, Finale Doshi-Velez
2019	A*	`conf`	Greedy Structure Learning of Hierarchical Compositional Models. CVPR Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter
2019	J	`jnl`	Optimizing for Interpretability in Deep Neural Networks with Tree Regularization. CoRR Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth, Finale Doshi-Velez
2019	J	`jnl`	Regional Tree Regularization for Interpretability in Black Box Models. CoRR Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
2018	A*	`conf`	Beyond Sparsity: Tree Regularization of Deep Models for Interpretability. AAAI Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
2018	J	`jnl`	Causal Deep Information Bottleneck. CoRR Sonali Parbhoo, Mario Wieser, Volker Roth
2018	J	`jnl`	Estimating Causal Effects With Partial Covariates For Clinical Interpretability. CoRR Sonali Parbhoo, Mario Wieser, Volker Roth
2018	J	`jnl`	Informed MCMC with Bayesian Neural Networks for Facial Image Analysis. CoRR Adam Kortylewski, Mario Wieser, Andreas Morel-Forster, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth, Thomas Vetter
2017	J	`jnl`	Beyond Sparsity: Tree Regularization of Deep Models for Interpretability. CoRR Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
2017	—	`conf`	Combining Kernel and Model Based Learning for HIV Therapy Selection. CRI Sonali Parbhoo, Jasmina Bogojeska, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
2016	A	`conf`	Bayesian Markov Blanket Estimation. AISTATS Dinu Kaufmann, Sonali Parbhoo, Aleksander Wieczorek, Sebastian Keller, David Adametz, Volker Roth
2015	J	`jnl`	Bayesian Markov Blanket Estimation. CoRR Dinu Kaufmann, Sonali Parbhoo, Aleksander Wieczorek, Sebastian Keller, David Adametz, Volker Roth