Amit Sharma
Amit Sharma
Researcher, Microsoft Research
Verified email at - Homepage
Cited by
Cited by
Prediction and explanation in social systems
JM Hofman, A Sharma, DJ Watts
Science 355 (6324), 486-488, 2017
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
Explaining machine learning classifiers through diverse counterfactual explanations
RK Mothilal, A Sharma, C Tan
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
Annual report, 1967-1968
AK Sharma
Res Bull Univ Calcutta 2, 1-50, 1970
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
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
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
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 (1), 2016
Cinacalcet as an adjunct in the successful treatment of calciphylaxis
A Sharma, E Burkitt‐Wright, R Rustom
British Journal of Dermatology 155 (6), 1295-1297, 2006
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
Biochemical indicator of sickle cell disease: preliminary report from India
S Pandey, A Sharma, S Dahia, V Shah, V Sharma, RM Mishra, ...
Indian Journal of Clinical Biochemistry 27 (2), 191-195, 2012
Preserving causal constraints in counterfactual explanations for machine learning classifiers
D Mahajan, C Tan, A Sharma
arXiv preprint arXiv:1912.03277, 2019
Canola yield and profitability as influenced by volunteer wheat infestations
JT O’DONOVAN, KJ Kirkland, AK Sharma
Canadian Journal of Plant Science 69 (4), 1235-1244, 1989
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
Pairwise learning in recommendation: experiments with community recommendation on linkedin
A Sharma, B Yan
Proceedings of the 7th ACM Conference on Recommender Systems, 193-200, 2013
Averaging gone wrong: Using time-aware analyses to better understand behavior
S Barbosa, D Cosley, A Sharma, RM Cesar Jr
Proceedings of the 25th International Conference on World Wide Web, 829-841, 2016
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
Network-centric recommendation: Personalization with and in social networks
A Sharma, D Cosley
Privacy, Security, Risk and Trust (PASSAT), 2011 IEEE Third International …, 2011
Fluoxetine and its effects on the nursing infant: a prospective cohort study
ME Moretti, A Sharma, B Bar‐Oz, G Koren, S Ito
Clinical Pharmacology & Therapeutics 65 (2), 141-141, 1999
Distinguishing between Personal Preferences and Social Influence in Online Activity Feeds
A Sharma, D Cosley
Proceedings of the 19th ACM Conference on Computer-Supported Cooperative …, 2016
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