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  1. ; ( , 2021 IEEE International Symposium on Information Theory (ISIT))
    We establish a family of sharp entropy inequalities with Gaussian extremizers. These inequalities hold for certain dependent random variables, namely entropy-maximizing couplings subject to information constraints. Several well-known results, such as the Zamir–Feder and Brunn–Minkowski inequalities, follow as special cases. 
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  2. ; ; ; ; ( , 2020 IEEE International Conference on Big Data (Big Data))
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  3. ; ; ; ; ; ( , 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS))
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  4. ; ( , Journal of Functional Analysis)
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  5. ; ( , IEEE International Symposium on Information Theory)
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  6. ; ; ; ; ( , Annals of Statistics)
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  7. ; ( , The Journal of Geometric Analysis)
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  8. ; ; ; ( , IEEE Transactions on Information Theory)
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  9. ; ; ; ( , 2019 International Symposium on Information Theory)
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  10. ; ; ; ( , 2018 IEEE International Conference on Big Data (Big Data))
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