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Pavan Ravishankar
I am a PhD student in Computer Science at the Courant Institute of Mathematical Sciences - NYU, advised by Prof. Daniel Neill.
I am a member of the ML4G lab. My PhD is fully funded by the MacCracken fellowship.
Previously, I completed my M.S (By Research) in Computer Science from IIT Madras, guided by
Prof. Balaraman Ravindran and Prof. Sudarsan Padmanabhan, and B.S in Information Systems from BITS Pilani, Pilani Campus.
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
Working 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
In Review [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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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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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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