Kush R. Varshney
Kush R. Varshney
IBM Research
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
AI Fairness 360: An extensible toolkit for detecting, understanding, and mitigating unwanted algorithmic bias
RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ...
IBM Journal of Research and Development, 2018
Optimized pre-processing for discrimination prevention
F Calmon, D Wei, B Vinzamuri, K Natesan Ramamurthy, KR Varshney
Advances in neural information processing systems 30, 2017
One explanation does not fit all: A toolkit and taxonomy of ai explainability techniques
V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ...
arXiv preprint arXiv:1909.03012, 2019
FactSheets: Increasing trust in AI services through supplier's declarations of conformity
M Arnold, RKE Bellamy, M Hind, S Houde, S Mehta, A Mojsilović, R Nair, ...
IBM Journal of Research and Development 63 (4/5), 6: 1-6: 13, 2019
Sparsity-driven synthetic aperture radar imaging: Reconstruction, autofocusing, moving targets, and compressed sensing
M Çetin, I Stojanović, NÖ Önhon, K Varshney, S Samadi, WC Karl, ...
IEEE Signal Processing Magazine 31 (4), 27-40, 2014
Method for market risk assessment for healthcare applications
S Mahatma, A Mojsilovic, KN Ramamurthy, KR Varshney, D Wei, ...
US Patent App. 14/699,482, 2016
Invariant risk minimization games
K Ahuja, K Shanmugam, K Varshney, A Dhurandhar
International Conference on Machine Learning, 145-155, 2020
On the safety of machine learning: Cyber-physical systems, decision sciences, and data products
KR Varshney, H Alemzadeh
Big data 5 (3), 246-255, 2017
Fairness GAN: Generating datasets with fairness properties using a generative adversarial network
P Sattigeri, SC Hoffman, V Chenthamarakshan, KR Varshney
IBM Journal of Research and Development 63 (4/5), 3: 1-3: 9, 2019
Sparse representation in structured dictionaries with application to synthetic aperture radar
KR Varshney, M Çetin, JW Fisher, AS Willsky
IEEE Transactions on Signal Processing 56 (8), 3548-3561, 2008
The effect of extremist violence on hateful speech online
A Olteanu, C Castillo, J Boy, K Varshney
Proceedings of the international AAAI conference on web and social media 12 (1), 2018
Human-centered explainable ai (xai): From algorithms to user experiences
QV Liao, KR Varshney
arXiv preprint arXiv:2110.10790, 2021
Bias mitigation post-processing for individual and group fairness
PK Lohia, KN Ramamurthy, M Bhide, D Saha, KR Varshney, R Puri
Icassp 2019-2019 ieee international conference on acoustics, speech and …, 2019
Engineering safety in machine learning
KR Varshney
2016 Information Theory and Applications Workshop (ITA), 1-5, 2016
Socially responsible ai algorithms: Issues, purposes, and challenges
L Cheng, KR Varshney, H Liu
Journal of Artificial Intelligence Research 71, 1137-1181, 2021
Is there a trade-off between fairness and accuracy? a perspective using mismatched hypothesis testing
S Dutta, D Wei, H Yueksel, PY Chen, S Liu, K Varshney
International conference on machine learning, 2803-2813, 2020
TED: Teaching AI to explain its decisions
M Hind, D Wei, M Campbell, NCF Codella, A Dhurandhar, A Mojsilović, ...
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 123-129, 2019
How data scientistswork together with domain experts in scientific collaborations: To find the right answer or to ask the right question?
Y Mao, D Wang, M Muller, KR Varshney, I Baldini, C Dugan, A Mojsilović
Proceedings of the ACM on Human-Computer Interaction 3 (GROUP), 1-23, 2019
Teaching AI agents ethical values using reinforcement learning and policy orchestration
R Noothigattu, D Bouneffouf, N Mattei, R Chandra, P Madan, ...
IBM Journal of Research and Development 63 (4/5), 2: 1-2: 9, 2019
Fair transfer learning with missing protected attributes
A Coston, KN Ramamurthy, D Wei, KR Varshney, S Speakman, ...
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 91-98, 2019
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