Faculty

Institution

Unit

Venue

Ziv Goldfeld

Associate Professor

Cornell University

Affiliations

College of Engineering

School of Electrical and Computer Engineering

Department of Computer Science

Ziv Goldfeld is currently serving as a School Of Electrical And Computer Engineering Associate Professor at Cornell University.

Honors

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Experiences

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Education

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Ziv Goldfeld

Cornell University

Associate Professor

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computer science applied mathematics computational statistics statistical inference statistical methodology statistics communications systems mathematical optimization information security transmission high-dimensional statistics data security machine learning research cryptography communication security secure communication information theory information theoretic security probability theory wireless communications communication computational intelligence statistical theory optimal transport telecommunication networks density estimation multi-terminal information theory high-dimensional method convex analysis estimation theory channel capacity estimation entropy joint source-channel coding data privacy gaussian analysis regularization (mathematics) mutual information differential privacy robust statistics computational optimization mathematical statistics statistical learning theory capacity region channel model covert channels robust optimization wiretap channel limit distribution theory global optimization channel estimation generative models privacy protection supervised learning gaussian kernel neural estimation superposition coding delayed csi numerical algorithms quantum science algorithmic information theory distributed source coding quantum systems channel characterization privacy engineering cooperative diversity markov decision process confidential message semantic-security capacity gaussian convolutions semi-deterministic broadcast channel computational learning theory constraint programming information bottleneck problem information bottleneck convergence rate entropy estimation decision systems systems engineering intelligent systems applied artificial intelligence operations research system science computational thinking information science software engineering education information management information technology

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Approximation Rates of Entropic Maps in Semidiscrete Optimal Transport. Electronic Communications in Probability (2025)

Ritwik SadhuZiv GoldfeldKengo Kato

mathematical optimizationapplied mathematicsapproximation ratesmathematicsoptimal transportergodic theoryentropy

Gradient Flows and Riemannian Structure in the Gromov-Wasserstein Geometry. Foundations of Computational Mathematics (2025)

Zhengxin ZhangZiv GoldfeldKristjan GreenewaldYoussef MrouehBharath K. Sriperumbudur

geometric topologyboundary value problemsdifferential geometryriemannian manifoldapplied mathematicsmathematicsriemannian structuregeometric flowsgeometric analysisricci flowgeometry and topology

Information-Theoretic Generalization Bounds for Deep Neural Networks. IEEE Transactions on Information Theory (2025)

Haiyun HeZiv Goldfeld

mathematical optimizationcomputer scienceneural scaling lawdeep learningneural network (machine learning)machine learning researchcomputational intelligencedeep neural networksinformation theoryapplied mathematicsmachine learning

Approximation Rates of Entropic Maps in Semidiscrete Optimal Transport. arXiv (Cornell University) (2024)

Sadhu, RitwikGoldfeld, ZivKato, Kengo

mathematical optimizationasymptotic analysisregularization (mathematics)central limit theoremapproximation ratesmathematicsoptimal transportconvex analysisinformation theoryapproximation rateapproximation theoryapplied mathematics

Differentially Private Sinkhorn Algorithm. (2024)

Jiaqi WangZiv Goldfeld

privacy-preserving communicationdata privacydata securityprivate sinkhorn algorithmtheory of computationapplied mathematicsdifferential privacy

Gradient Flows and Riemannian Structure in the Gromov-Wasserstein Geometry. arXiv (Cornell University) (2024)

Zhang, ZhengxinGoldfeld, ZivGreenewald, KristjanMroueh, YoussefSriperumbudur, Bharath K.

mathematical optimizationglobal optimizationgradient flowsstochastic geometrydifferential geometrymathematicsriemannian structuregeometric flowsotto calculusvariational analysisgeometric analysisoptimal transportcomputational optimizationapplied mathematics

Gromov–Wasserstein Distances: Entropic Regularization, Duality and Sample Complexity. The Annals of Statistics (2024)

Zhengxin ZhangZiv GoldfeldYoussef MrouehBharath K. Sriperumbudur

mathematical optimizationsample complexityregularization (mathematics)mathematicsgeometric analysiscomputational statisticsconvex analysisapproximation theoryapplied mathematicsmathematical scienceshigh-dimensional statistics

Hierarchical Generalization Bounds for Deep Neural Networks. 2022 IEEE International Symposium on Information Theory (ISIT) (2024)

Haiyun HeChristina Lee YuZiv Goldfeld

mathematical optimizationcomputer scienceneural scaling lawdeep learninghierarchical generalization boundsneural network (machine learning)machine learning researchcomputational intelligencemachine learning

Information-Theoretic Generalization Bounds for Deep Neural Networks. arXiv (Cornell University) (2024)

He, HaiyunYu, Christina LeeGoldfeld, Ziv

computer scienceneural computationconvolutional neural networksdeep learninggeneralization funnelsupervised learningneural network (machine learning)machine learning researchcomputational intelligencedata sciencedeep neural networksinformation-theoretic generalization boundsmachine learning

Limit Distribution Theory for Smooth P-Wasserstein Distances. The Annals of Applied Probability (2024)

Ziv GoldfeldKengo KatoSloan NietertGabriel Rioux

statistical methodologyparametric convergence ratedensity estimationgaussian processlimit distribution theorystatistical theorymachine learningmachine learning researchcomputational statisticsgenerative modelsweak convergenceapplied statisticshigh-dimensional methodstatistical inferenceapplied mathematicsstatisticshigh-dimensional statistics

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Ziv Goldfeld

Associate Professor

Cornell University

Affiliations

College of Engineering

School of Electrical and Computer Engineering

Department of Computer Science

Ziv Goldfeld is currently serving as a School Of Electrical And Computer Engineering Associate Professor at Cornell University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ziv Goldfeld

Cornell University

Associate Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Approximation Rates of Entropic Maps in Semidiscrete Optimal Transport. Electronic Communications in Probability (2025)

Ritwik SadhuZiv GoldfeldKengo Kato

mathematical optimizationapplied mathematicsapproximation ratesmathematicsoptimal transportergodic theoryentropy

Gradient Flows and Riemannian Structure in the Gromov-Wasserstein Geometry. Foundations of Computational Mathematics (2025)

Zhengxin ZhangZiv GoldfeldKristjan GreenewaldYoussef MrouehBharath K. Sriperumbudur

geometric topologyboundary value problemsdifferential geometryriemannian manifoldapplied mathematicsmathematicsriemannian structuregeometric flowsgeometric analysisricci flowgeometry and topology

Information-Theoretic Generalization Bounds for Deep Neural Networks. IEEE Transactions on Information Theory (2025)

Haiyun HeZiv Goldfeld

Approximation Rates of Entropic Maps in Semidiscrete Optimal Transport. arXiv (Cornell University) (2024)

Sadhu, RitwikGoldfeld, ZivKato, Kengo

Differentially Private Sinkhorn Algorithm. (2024)

Jiaqi WangZiv Goldfeld

privacy-preserving communicationdata privacydata securityprivate sinkhorn algorithmtheory of computationapplied mathematicsdifferential privacy

Gradient Flows and Riemannian Structure in the Gromov-Wasserstein Geometry. arXiv (Cornell University) (2024)

Zhang, ZhengxinGoldfeld, ZivGreenewald, KristjanMroueh, YoussefSriperumbudur, Bharath K.

Gromov–Wasserstein Distances: Entropic Regularization, Duality and Sample Complexity. The Annals of Statistics (2024)

Zhengxin ZhangZiv GoldfeldYoussef MrouehBharath K. Sriperumbudur

Hierarchical Generalization Bounds for Deep Neural Networks. 2022 IEEE International Symposium on Information Theory (ISIT) (2024)

Haiyun HeChristina Lee YuZiv Goldfeld

Information-Theoretic Generalization Bounds for Deep Neural Networks. arXiv (Cornell University) (2024)

He, HaiyunYu, Christina LeeGoldfeld, Ziv

Limit Distribution Theory for Smooth P-Wasserstein Distances. The Annals of Applied Probability (2024)

Ziv GoldfeldKengo KatoSloan NietertGabriel Rioux

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computational model theory

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