Amit Sharma
Amit Sharma
Principal Researcher, Microsoft Research
Verified email at - Homepage
Cited by
Cited by
Explaining machine learning classifiers through diverse counterfactual explanations
RK Mothilal, A Sharma, C Tan
Proceedings of the 2020 conference on fairness, accountability, and …, 2020
Prediction and explanation in social systems
JM Hofman, A Sharma, DJ Watts
Science 355 (6324), 486-488, 2017
Domain generalization using causal matching
D Mahajan, S Tople, A Sharma
International Conference on Machine Learning, 7313-7324, 2021
Preserving causal constraints in counterfactual explanations for machine learning classifiers
D Mahajan, C Tan, A Sharma
arXiv preprint arXiv:1912.03277, 2019
Topology-aware task mapping for reducing communication contention on large parallel machines
T Agarwal, A Sharma, A Laxmikant, LV Kalé
Proceedings 20th IEEE International Parallel & Distributed Processing …, 2006
Do social explanations work? Studying and modeling the effects of social explanations in recommender systems
A Sharma, D Cosley
Proceedings of the 22nd international conference on World Wide Web, 1133-1144, 2013
Exploring limits to prediction in complex social systems
T Martin, JM Hofman, A Sharma, A Anderson, DJ Watts
Proceedings of the 25th international conference on world wide web, 683-694, 2016
DoWhy: An end-to-end library for causal inference
A Sharma, E Kiciman
arXiv preprint arXiv:2011.04216, 2020
Estimating the causal impact of recommendation systems from observational data
A Sharma, J Hofman, D Watts
Proceedings of the Sixteenth ACM Conference on Economics and Computation …, 2015
Causal reasoning and large language models: Opening a new frontier for causality
E Kıcıman, R Ness, A Sharma, C Tan
arXiv preprint arXiv:2305.00050, 2023
Predictability of popularity: Gaps between prediction and understanding
B Shulman, A Sharma, D Cosley
Proceedings of the international AAAI conference on web and social media 10 …, 2016
Auditing search engines for differential satisfaction across demographics
R Mehrotra, A Anderson, F Diaz, A Sharma, H Wallach, E Yilmaz
Proceedings of the 26th international conference on World Wide Web companion …, 2017
Towards unifying feature attribution and counterfactual explanations: Different means to the same end
R Kommiya Mothilal, D Mahajan, C Tan, A Sharma
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 652-663, 2021
Technology readiness levels for machine learning systems
A Lavin, CM Gilligan-Lee, A Visnjic, S Ganju, D Newman, S Ganguly, ...
Nature Communications 13 (1), 6039, 2022
Workload management for power efficiency in virtualized data centers
G Dasgupta, A Sharma, A Verma, A Neogi, R Kothari
Communications of the ACM 54 (7), 131-141, 2011
Digital Innovations for Global Mental Health: Opportunities for Data Science, Task Sharing, and Early Intervention
JA Naslund, PP Gonsalves, O Gruebner, SR Pendse, SL Smith, A Sharma, ...
Current Treatment Options in Psychiatry, 1-15, 2019
Deep end-to-end causal inference
T Geffner, J Antoran, A Foster, W Gong, C Ma, E Kiciman, A Sharma, ...
arXiv preprint arXiv:2202.02195, 2022
Study of karyotypes and their alterations in aroids
AK Sharma, NK Das
Agronomia lusitana 16, 23-48, 1954
Learning to prescribe interventions for tuberculosis patients using digital adherence data
JA Killian, B Wilder, A Sharma, V Choudhary, B Dilkina, M Tambe
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Evaluating and mitigating bias in image classifiers: A causal perspective using counterfactuals
S Dash, VN Balasubramanian, A Sharma
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
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