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Learning Fair Representations for Kernel Models.

Z. Tan, S. Yeom, M. Fredrikson, and A. Talwalkar. AISTATS, volume 108 of Proceedings of Machine Learning Research, page 155-166. PMLR, (2020)

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Ameet Patil

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Model-Agnostic Characterization of Fairness Trade-offs.J. Kim, J. Chen, and A. Talwalkar. CoRR, (2020)SONAR: Joint Architecture and System Optimization Search.E. Jääsaari, M. Ma, A. Talwalkar, and T. Chen. CoRR, (2022)Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances.M. Khodak, E. Chow, M. Balcan, and A. Talwalkar. CoRR, (2023)Differentially Private Meta-Learning.J. Li, M. Khodak, S. Caldas, and A. Talwalkar. ICLR, OpenReview.net, (2020)Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning.Á. Cabrera, E. Fu, D. Bertucci, K. Holstein, A. Talwalkar, J. Hong, and A. Perer. CHI, page 419:1-419:14. ACM, (2023)Learning Predictions for Algorithms with Predictions.M. Khodak, M. Balcan, A. Talwalkar, and S. Vassilvitskii. NeurIPS, (2022)Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing.M. Khodak, R. Tu, T. Li, L. Li, M. Balcan, V. Smith, and A. Talwalkar. NeurIPS, page 19184-19197. (2021)Distributed Low-Rank Subspace Segmentation.A. Talwalkar, L. Mackey, Y. Mu, S. Chang, and M. Jordan. ICCV, page 3543-3550. IEEE Computer Society, (2013)On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.K. Amarasinghe, K. Rodolfa, S. Jesus, V. Chen, V. Balayan, P. Saleiro, P. Bizarro, A. Talwalkar, and R. Ghani. AAAI, page 20921-20929. AAAI Press, (2024)Federated Optimization in Heterogeneous Networks.T. Li, A. Sahu, M. Zaheer, M. Sanjabi, A. Talwalkar, and V. Smith. MLSys, mlsys.org, (2020)

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Disambiguation of "Talwalkar, Ameet"

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Learning Fair Representations for Kernel Models.

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Ameet Patil

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Disambiguation of "Talwalkar, Ameet"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning Fair Representations for Kernel Models.

Please choose a person to relate this publication to

Ameet Patil

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Learning Fair Representations for Kernel Models.