Artikel dengan mandat akses publik - Suresh VenkatasubramanianPelajari lebih lanjut
Tidak tersedia di mana pun: 1
Agent-Based Simulation of Decision-Making Under Uncertainty to Study Financial Precarity
P Nokhiz, AK Ruwanpathirana, N Patwari, S Venkatasubramanian
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 43-56, 2024
Mandat: Ford Foundation, John D. and Catherine T. MacArthur Foundation
Tersedia di suatu tempat: 27
Fairness and abstraction in sociotechnical systems
AD Selbst, D Boyd, SA Friedler, S Venkatasubramanian, J Vertesi
Proceedings of the conference on fairness, accountability, and transparency …, 2019
Mandat: US National Science Foundation
A comparative study of fairness-enhancing interventions in machine learning
SA Friedler, C Scheidegger, S Venkatasubramanian, S Choudhary, ...
Proceedings of the conference on fairness, accountability, and transparency …, 2019
Mandat: US National Science Foundation
The (im) possibility of fairness: Different value systems require different mechanisms for fair decision making
SA Friedler, C Scheidegger, S Venkatasubramanian
Communications of the ACM 64 (4), 136-143, 2021
Mandat: US National Science Foundation
Runaway feedback loops in predictive policing
D Ensign, SA Friedler, S Neville, C Scheidegger, S Venkatasubramanian
Conference on fairness, accountability and transparency, 160-171, 2018
Mandat: US National Science Foundation
Problems with Shapley-value-based explanations as feature importance measures
IE Kumar, S Venkatasubramanian, C Scheidegger, S Friedler
International conference on machine learning, 5491-5500, 2020
Mandat: US National Science Foundation, US Department of Defense
Auditing black-box models for indirect influence
P Adler, C Falk, SA Friedler, T Nix, G Rybeck, C Scheidegger, B Smith, ...
Knowledge and Information Systems 54, 95-122, 2018
Mandat: US National Science Foundation
The geometric median on Riemannian manifolds with application to robust atlas estimation
PT Fletcher, S Venkatasubramanian, S Joshi
NeuroImage 45 (1), S143-S152, 2009
Mandat: US National Institutes of Health
The philosophical basis of algorithmic recourse
S Venkatasubramanian, M Alfano
Proceedings of the 2020 conference on fairness, accountability, and …, 2020
Mandat: US National Science Foundation, Australian Research Council
Fair clustering via equitable group representations
M Abbasi, A Bhaskara, S Venkatasubramanian
Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021
Mandat: US National Science Foundation
Gaps in information access in social networks?
B Fish, A Bashardoust, D Boyd, S Friedler, C Scheidegger, ...
The World Wide Web Conference, 480-490, 2019
Mandat: US National Science Foundation
Shapley Residuals: Quantifying the limits of the Shapley value for explanations
I Kumar, C Scheidegger, S Venkatasubramanian, S Friedler
Advances in Neural Information Processing Systems 34, 26598-26608, 2021
Mandat: US National Science Foundation, US Department of Defense
Fairness in representation: quantifying stereotyping as a representational harm
M Abbasi, SA Friedler, C Scheidegger, S Venkatasubramanian
Proceedings of the 2019 SIAM International Conference on Data Mining, 801-809, 2019
Mandat: US National Science Foundation
Verifiable stream computation and Arthur-Merlin communication
A Chakrabarti, G Cormode, A McGregor, J Thaler, S Venkatasubramanian
Leibniz international proceedings in informatics (LIPIcs), 217-243, 2015
Mandat: European Commission
Disentangling influence: Using disentangled representations to audit model predictions
C Marx, R Phillips, S Friedler, C Scheidegger, S Venkatasubramanian
Advances in Neural Information Processing Systems 32, 2019
Mandat: US National Science Foundation, US Department of Defense
Decision making with limited feedback
D Ensign, F Sorelle, N Scott, S Carlos, V Suresh
Algorithmic Learning Theory, 359-367, 2018
Mandat: US National Science Foundation
Sketching, embedding and dimensionality reduction in information theoretic spaces
A Abdullah, R Kumar, A McGregor, S Vassilvitskii, S Venkatasubramanian
Artificial Intelligence and Statistics, 948-956, 2016
Mandat: US National Science Foundation
Type-based categorization of relational attributes
B Ahmadi, M Hadjieleftheriou, T Seidl, D Srivastava, ...
Proceedings of the 12th International Conference on Extending Database …, 2009
Mandat: Fraunhofer-Gesellschaft
Reducing Access Disparities in Networks using Edge Augmentation✱
A Bashardoust, S Friedler, C Scheidegger, BD Sullivan, ...
Proceedings of the 2023 ACM conference on fairness, accountability, and …, 2023
Mandat: US National Science Foundation
A unified view of localized kernel learning
J Moeller, S Swaminathan, S Venkatasubramanian
Proceedings of the 2016 SIAM International Conference on Data Mining, 252-260, 2016
Mandat: US National Science Foundation
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