Shalmali Joshi
9 papers · 2016–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
π
Conference Pioneer
Top co-authors
Research topics
Keywords
distribution shift
(2)
policy gradient
(1)
adversarial training
(1)
kl divergence
(1)
model evaluation
(1)
policy learning
(1)
uncertainty quantification
(1)
feature importance
(1)
theoretical analysis
(1)
markov decision process
(1)
time series
(1)
importance weighting
(1)
active learning
(1)
model shift
(1)
observational study
(1)
additive model
(1)
out-of-distribution detection
(1)
cooperative game
(1)
counterfactual explanation
(1)
causal inference
(1)
Papers
ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression
MLHC 2025
Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
NeurIPS 2024
Towards Safe Policy Learning under Partial Identifiability: A Causal Approach
AAAI 2024
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts
ICML 2023
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis
AISTATS 2022
Towards Robust and Reliable Algorithmic Recourse
NeurIPS 2021
What went wrong and when? Instance-wise feature importance for time-series black-box models
NeurIPS 2020
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use
MLHC 2019
Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization
MLHC 2016