‪Kaivalya Rawal‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	151	150
h-index	4	4
i10-index	2	2

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20182019202020212022202320241 6 17 48 59 19

Co-authors

Himabindu LakkarajuAssistant Professor, Harvard UniversityVerified email at seas.harvard.edu
Ece KamarMicrosoft ResearchVerified email at microsoft.com
ARIJIT KHANIEEE Senior Member, ACM Distinguished Speaker, Associate Professor, Aalborg UniversityVerified email at cs.aau.dk

Kaivalya Rawal

Kaivalya Rawal

Master's Student, Harvard University

Verified email at g.harvard.edu

Explainable AI Machine Learning Algorithmic Fairness


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Beyond individualized recourse: Interpretable and interactive summaries of actionable recourses K Rawal, H Lakkaraju Advances in Neural Information Processing Systems 33, 12187-12198, 2020	75	2020
Algorithmic recourse in the wild: Understanding the impact of data and model shifts K Rawal, E Kamar, H Lakkaraju arXiv preprint arXiv:2012.11788, 2020	61*	2020
Interpretable and interactive summaries ofactionable recourses K Rawal, H Lakkaraju Advances in Neural Information Processing Systems (NeurIPS) 33, 2020	8	2020
Maximizing contrasting opinions in signed social networks K Rawal, A Khan 2019 IEEE International Conference on Big Data (Big Data), 1203-1210, 2019	7	2019

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