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Pavan Ravishankar
About: I am a PhD student in Computer Science at the Courant Institute of Mathematical Sciences, NYU, member of ML4G lab.
My PhD is fully funded by MacCracken fellowship..
I am fortunate to have been advised by Prof. Daniel Neill, Prof. Balaraman Ravindran and
Prof. Sudarsan Padmanabhan.
Research Interests: I am interested in Responsible Machine Learning (ML), specifically in end-to-end fairness in the ML pipeline. If you're interested in working with me, please don't hesitate to get in touch!
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Publications
Learning Representational Disparities.
Pavan Ravishankar*, Rushabh Shah, Daniel B Neill
In Review [Paper]
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Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set.
Gordon Dai*, Pavan Ravishankar*, Rachel Yuan, Emily Black, Daniel B Neill
EAAMO 2025 [Paper]
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Provable Detection of Propagating Sampling Bias in Prediction Models.
Pavan Ravishankar*, Qingyu Mo, Edward McFowland III, Daniel B Neill
AAAI 2023 [Paper]
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Financial Exclusion of Internal Migrant Workers of India during COVID-19: Can Digital Financial Inclusion be facilitated by AI?".
Pavan Ravishankar*, Sudarsan Padmanabhan, Balaraman Ravindran
JITCAR 2023 [Paper]
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A Causal Approach for Unfair Edge Prioritization and Discrimination Removal.
Pavan Ravishankar*, Pranshu Malviya*, Balaraman Ravindran
ACML 2021 [Paper]
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A Causal Linear Model to Quantify Edge Flow and Edge Unfairness for UnfairEdge Prioritization and Discrimination Removal.
Pavan Ravishankar*, Pranshu Malviya*, Balaraman Ravindran
ICML Workshop 2020 [Paper]
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