Documents publiés en "2022"

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Adler, A., Tang, J., & Polyanskiy, Y. (2022). Efficient representation of large-alphabet probability distributions. IEEE Journal on Selected Areas in Information Theory, 3(4), 651-663. Lien externe

Adler, A., Tang, J., & Polyanskiy, Y. (juin 2022). Efficient Representation of Large-Alphabet Probability Distributions via Arcsinh-Compander [Communication écrite]. IEEE International Symposium on Information Theory (ISIT 2022), Espoo, Finland. Lien externe

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C. F. Lee, G., Weiss, A., Lancho, A., Tang, J., Bu, Y., Polyanskiy, Y., & Wornell, G. W. (août 2022). Exploiting temporal structures of cyclostationary signals for data-driven single-channel source separation [Communication écrite]. 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP 2022), Xi'an, China (6 pages). Lien externe

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Lancho, A., Weiss, A., C. F. Lee, G., Tang, J., Bu, Y., Polyanskiy, Y., & Wornell, G. W. (décembre 2022). Data-driven blind synchronization and interference rejection for digital communication signals [Communication écrite]. 2022 IEEE Global Communications Conference (GLOBECOM 2022), Rio de Janeiro, Brazil. Lien externe

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Tang, J. (2022). Minimax regret on patterns using Kullback-Leibler divergence covering. Proceedings of Machine Learning Research, 178, 3095-3112. Présentée à 35th Annual Conference on Learning Theory (COLT 2022), London, United Kingdom. Lien externe

Tang, J., & Polyanskiy, Y. (juin 2022). Capacity of noisy permutation channels [Communication écrite]. IEEE International Symposium on Information Theory (ISIT 2022), Espoo, Finland. Lien externe