Search Results - Hu, Lunjia

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  1. 1
    Calibration Error for Decision Making

    Calibration Error for Decision Making by Hu, Lunjia, Wu, Yifan

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  2. 2
    Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes

    Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes by Hu, Lunjia, Peale, Charlotte

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  3. 3
    Near-Optimal Explainable \(k\)-Means for All Dimensions

    Near-Optimal Explainable \(k\)-Means for All Dimensions by Charikar, Moses, Hu, Lunjia

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  4. 4
    Omnipredicting Single-Index Models with Multi-Index Models

    Omnipredicting Single-Index Models with Multi-Index Models by Hu, Lunjia, Tian, Kevin, Yang, Chutong

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  5. 5
    Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers

    Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers by Hu, Lunjia, Reingold, Omer

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  6. 6
    On Computationally Efficient Multi-Class Calibration

    On Computationally Efficient Multi-Class Calibration by Gopalan, Parikshit, Hu, Lunjia, Rothblum, Guy N

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  7. 7
    Approximation Algorithms for Orthogonal Non-negative Matrix Factorization

    Approximation Algorithms for Orthogonal Non-negative Matrix Factorization by Charikar, Moses, Hu, Lunjia

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  8. 8
    Multigroup Robustness

    Multigroup Robustness by Hu, Lunjia, Peale, Charlotte, Shen, Judy Hanwen

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  9. 9
    Generative Models of Huge Objects

    Generative Models of Huge Objects by Hu, Lunjia, Livni-Navon, Inbal, Reingold, Omer

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  10. 10
    Testing Calibration in Nearly-Linear Time

    Testing Calibration in Nearly-Linear Time by Hu, Lunjia, Jambulapati, Arun, Tian, Kevin, Yang, Chutong

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  11. 11
    When Does Optimizing a Proper Loss Yield Calibration?

    When Does Optimizing a Proper Loss Yield Calibration? by Błasiok, Jarosław, Gopalan, Parikshit, Hu, Lunjia, Nakkiran, Preetum

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  12. 12
    Metric Entropy Duality and the Sample Complexity of Outcome Indistinguishability

    Metric Entropy Duality and the Sample Complexity of Outcome Indistinguishability by Hu, Lunjia, Peale, Charlotte, Reingold, Omer

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  13. 13
    Simple, Scalable and Effective Clustering via One-Dimensional Projections

    Simple, Scalable and Effective Clustering via One-Dimensional Projections by Charikar, Moses, Henzinger, Monika, Hu, Lunjia, Vötsch, Maxmilian, Waingarten, Erik

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  14. 14
    A Unifying Theory of Distance from Calibration

    A Unifying Theory of Distance from Calibration by Błasiok, Jarosław, Gopalan, Parikshit, Hu, Lunjia, Nakkiran, Preetum

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  15. 15
    Omnipredictors for Constrained Optimization

    Omnipredictors for Constrained Optimization by Hu, Lunjia, Livni-Navon, Inbal, Reingold, Omer, Yang, Chutong

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  16. 16
    Active Tolerant Testing

    Active Tolerant Testing by Blum, Avrim, Hu, Lunjia

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  17. 17
    Subspace Recovery from Heterogeneous Data with Non-isotropic Noise

    Subspace Recovery from Heterogeneous Data with Non-isotropic Noise by Duchi, John, Feldman, Vitaly, Hu, Lunjia, Talwar, Kunal

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  18. 18
    Loss Minimization Yields Multicalibration for Large Neural Networks

    Loss Minimization Yields Multicalibration for Large Neural Networks by Błasiok, Jarosław, Gopalan, Parikshit, Hu, Lunjia, Kalai, Adam Tauman, Nakkiran, Preetum

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  19. 19
    Loss Minimization through the Lens of Outcome Indistinguishability

    Loss Minimization through the Lens of Outcome Indistinguishability by Gopalan, Parikshit, Hu, Lunjia, Kim, Michael P, Reingold, Omer, Wieder, Udi

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  20. 20
    Robust and On-the-fly Dataset Denoising for Image Classification

    Robust and On-the-fly Dataset Denoising for Image Classification by Song, Jiaming, Hu, Lunjia, Auli, Michael, Dauphin, Yann, Ma, Tengyu

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