Joshi, Shalmali

15 publications

MLHC 2025 ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Mert Ketenci, Vincent Jeanselme, Harry Reyes Nieva, Shalmali Joshi, Noémie Elhadad

NeurIPS 2025 Path-Specific Effects for Pulse-Oximetry Guided Decisions in Critical Care Kevin Zhang, Yonghan Jung, Divyat Mahajan, Karthikeyan Shanmugam, Shalmali Joshi

NeurIPS 2024 Adaptive Labeling for Efficient Out-of-Distribution Model Evaluation Daksh Mittal, Yuanzhe Ma, Shalmali Joshi, Hongseok Namkoong

AAAI 2024 Towards Safe Policy Learning Under Partial Identifiability: A Causal Approach Shalmali Joshi, Junzhe Zhang, Elias Bareinboim

ICML 2023 "Why Did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi

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

AISTATS 2022 Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, Himabindu Lakkaraju

ICMLW 2022 "Why Did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts Haoran Zhang, Harvineet Singh, Shalmali Joshi

NeurIPSW 2022 "Why Did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi

CHIL 2022 Counterfactually Guided Policy Transfer in Clinical Settings Taylor W. Killian, Marzyeh Ghassemi, Shalmali Joshi

NeurIPS 2021 Towards Robust and Reliable Algorithmic Recourse Sohini Upadhyay, Shalmali Joshi, Himabindu Lakkaraju

NeurIPS 2020 What Went Wrong and When? Instance-Wise Feature Importance for Time-Series Black-Box Models Sana Tonekaboni, Shalmali Joshi, Kieran Campbell, David K. Duvenaud, Anna Goldenberg

MLHC 2019 What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use Sana Tonekaboni, Shalmali Joshi, Melissa D. McCradden, Anna Goldenberg

MLHC 2016 Identifiable Phenotyping Using Constrained Non-Negative Matrix Factorization Shalmali Joshi, Suriya Gunasekar, David Sontag, Ghosh Joydeep

MLJ 2016 Rényi Divergence Minimization Based Co-Regularized Multiview Clustering Shalmali Joshi, Joydeep Ghosh, Mark Reid, Oluwasanmi Koyejo