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Implicit Rate-Constrained Optimization of Non-decomposable Objectives


Jul 29, 2021
Abhishek Kumar, Harikrishna Narasimhan, Andrew Cotter

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* ICML 2021; Code available at https://github.com/google-research/google-research/tree/master/implicit_constrained_optimization 

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Churn Reduction via Distillation


Jun 04, 2021
Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri, Andrew Cotter, Afshin Rostamizadeh

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Distilling Double Descent


Feb 13, 2021
Andrew Cotter, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sashank J. Reddi, Yichen Zhou

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Robust Optimization for Fairness with Noisy Protected Groups


Feb 21, 2020
Serena Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya Gupta, Michael I. Jordan

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Optimizing Generalized Rate Metrics through Game Equilibrium


Sep 06, 2019
Harikrishna Narasimhan, Andrew Cotter, Maya Gupta

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Pairwise Fairness for Ranking and Regression


Jun 12, 2019
Harikrishna Narasimhan, Andrew Cotter, Maya Gupta, Serena Wang

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Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints


Sep 28, 2018
Andrew Cotter, Maya Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Wang, Blake Woodworth, Seungil You

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Two-Player Games for Efficient Non-Convex Constrained Optimization


Sep 28, 2018
Andrew Cotter, Heinrich Jiang, Karthik Sridharan

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Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals


Sep 11, 2018
Andrew Cotter, Heinrich Jiang, Serena Wang, Taman Narayan, Maya Gupta, Seungil You, Karthik Sridharan

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