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Dive into the research topics where Heinrich Jiang is active.

Publication


Featured researches published by Heinrich Jiang.


international conference on machine learning | 2017

Density Level Set Estimation on Manifolds with DBSCAN.

Heinrich Jiang


international conference on machine learning | 2017

Uniform Convergence Rates for Kernel Density Estimation.

Heinrich Jiang


international conference on artificial intelligence and statistics | 2016

Modal-set estimation with an application to clustering

Heinrich Jiang; Samory Kpotufe


neural information processing systems | 2018

To Trust Or Not To Trust A Classifier

Heinrich Jiang; Been Kim; Melody Y. Guan; Maya R. Gupta


arXiv: Machine Learning | 2017

Rates of Uniform Consistency for k-NN Regression.

Heinrich Jiang


national conference on artificial intelligence | 2018

Nonparametric Stochastic Contextual Bandits

Melody Y. Guan; Heinrich Jiang


international conference on machine learning | 2018

Quickshift++: Provably Good Initializations for Sample-Based Mean Shift

Heinrich Jiang; Jennifer Jang; Samory Kpotufe


arXiv: Learning | 2018

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

Andrew Cotter; Maya R. Gupta; Heinrich Jiang; Nathan Srebro; Karthik Sridharan; Serena Wang; Blake Woodworth; Seungil You


arXiv: Learning | 2018

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

Andrew Cotter; Heinrich Jiang; Serena Wang; Taman Narayan; Maya R. Gupta; Seungil You; Karthik Sridharan


arXiv: Learning | 2018

Two-Player Games for Efficient Non-Convex Constrained Optimization.

Andrew Cotter; Heinrich Jiang; Karthik Sridharan

Collaboration


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Andrew Cotter

Toyota Technological Institute at Chicago

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Maya R. Gupta

University of Washington

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Karthik Sridharan

University of Pennsylvania

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Been Kim

Massachusetts Institute of Technology

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Samory Kpotufe

University of California

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Samory Kpotufe

University of California

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