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Amit Sharma
Amit Sharma
Principal Researcher, Microsoft Research
E-mail confirmado em cornell.edu - Página inicial
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Explaining machine learning classifiers through diverse counterfactual explanations
RK Mothilal, A Sharma, C Tan
Proceedings of the 2020 conference on fairness, accountability, and …, 2020
12402020
Prediction and explanation in social systems
JM Hofman, A Sharma, DJ Watts
Science 355 (6324), 486-488, 2017
5042017
Domain generalization using causal matching
D Mahajan, S Tople, A Sharma
International Conference on Machine Learning, 7313-7324, 2021
3272021
Preserving causal constraints in counterfactual explanations for machine learning classifiers
D Mahajan, C Tan, A Sharma
arXiv preprint arXiv:1912.03277, 2019
2572019
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
2102023
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
2052013
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
1932006
DoWhy: An end-to-end library for causal inference
A Sharma, E Kiciman
arXiv preprint arXiv:2011.04216, 2020
1922020
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
1732016
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
1572015
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
1262016
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
1162022
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
1162021
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
1152017
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
902011
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
802022
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
782019
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
752022
Moments of change: Analyzing peer-based cognitive support in online mental health forums
Y Pruksachatkun, SR Pendse, A Sharma
Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019
692019
Study of karyotypes and their alterations in aroids
AK Sharma, NK Das
Agronomia lusitana 16, 23-48, 1954
681954
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Artigos 1–20