|Optimized pre-processing for discrimination prevention|
FP Calmon, D Wei, B Vinzamuri, KN Ramamurthy, KR Varshney
Proceedings of the 31st International Conference on Neural Information …, 2017
|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
|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
|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
|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
|Exact rule learning via boolean compressed sensing|
D Malioutov, K Varshney
International Conference on Machine Learning, 765-773, 2013
|Collaborative kalman filtering for dynamic matrix factorization|
JZ Sun, D Parthasarathy, KR Varshney
IEEE Transactions on Signal Processing 62 (14), 3499-3509, 2014
|Engineering safety in machine learning|
2016 Information Theory and Applications Workshop (ITA), 1-5, 2016
|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
|Dynamic matrix factorization: A state space approach|
JZ Sun, KR Varshney, K Subbian
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
|A big data approach to computational creativity: The curious case of Chef Watson|
LR Varshney, F Pinel, KR Varshney, D Bhattacharjya, A Schörgendorfer, ...
IBM Journal of Research and Development 63 (1), 7: 1-7: 18, 2019
|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
|Cognition as a part of computational creativity|
LR Varshney, F Pinel, KR Varshney, A Schörgendorfer, YM Chee
2013 IEEE 12th International Conference on Cognitive Informatics and …, 2013
|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
|Quantization of prior probabilities for hypothesis testing|
KR Varshney, LR Varshney
IEEE Transactions on Signal Processing 56 (10), 4553-4562, 2008
|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
|Increasing trust in ai services through supplier’s declarations of conformity|
M Hind, S Mehta, A Mojsilovic, R Nair, KN Ramamurthy, A Olteanu, ...
arXiv preprint arXiv:1808.07261 18, 2813-2869, 2018
|Targeting villages for rural development using satellite image analysis|
KR Varshney, GH Chen, B Abelson, K Nowocin, V Sakhrani, L Xu, ...
Big Data 3 (1), 41-53, 2015