Publications
Selected Publications
- A. Weiss, E. Huang, O. Ordentlich, and G. W. Wornell, "Blind Modulo Analog-to-Digital Conversion", IEEE Trans. Signal Processing, 2022.
- A. Shah, Y. Bu, J. K-W. Lee, S. Das, R. Panda, P. Sattigeri, and G. W. Wornell, "Selective Regression Under Fairness Criteria", in Proc. Int. Conf. Machine Learning (ICML-2022), (Baltimore, MD), Proc. Mach. Learn. Res. (PMLR), vol. 162, pp. 19598-19615, July 2022.
- A. Weiss, T. Arikan, H. Vishnu, G. B. Deane, A. C. Singer, and G. W. Wornell, "A Semi-Blind Method for Localization of Underwater Acoustic Sources", IEEE Trans. Signal Processing, vol. 70, no. 7, July 2022.
- G. Aminian, Y. Bu, G. W. Wornell, and M. R. D. Rodrigues, "Tighter Expected Generalization Error Bounds via Convexity of Information Measures", in Proc. IEEE Int. Symp. Inform. Theory (ISIT-2022), (Helsinki, Finland), June 2022.
- J. K-W. Lee, Y. Bu, G. W. Wornell, P. Sattigeri, R. Panda, L. Karlinsky, and R. Feris, "A Maximal Correlation Approach to Imposing Fairness in Machine Learning", in Proc. Int. Conf. Acoust., Speech, Signal Processing (ICASSP-2022), (Singapore), May 2022.
- A. Weiss, E. Huang, O. Ordentlich, and G. W. Wornell, "Blind Modulo Analog-to-Digital Conversion of Vector Processes", in Proc. Int. Conf. Acoust., Speech, Signal Processing (ICASSP-2022), (Singapore), May 2022.
- Y. Bu, G. Aminian, L. Toni, G. W. Wornell, and M. Rodrigues, "Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm", in Proc. Int. Conf. Artif. Intell., Stat. (AISTATS-2022), (virtual), March 2022.
- J. K-W. Lee, Y. Bu, P. Sattigeri, R. Panda, G. W. Wornell, L. Karlinsky, and R. Feris, "A Maximal Correlation Approach to Imposing Fairness in Machine Learning", Entropy, vol. 24, no. 4, March 2022.
- X. Xu, S-L. Huang, L. Zheng, and G. W. Wornell, "An Information Theoretic Interpretation to Deep Neural Networks", Entropy, vol. 24, no. 1, January 2022.
- G. Aminian, Y. Bu, L. Toni, M. Rodrigues, and G. W. Wornell, "An Exact Characterization of the Generalization Error for the Gibbs Algorithm", in Advances Neural Inform. Proc. Syst. (NeurIPS-2021), (virtual), December 2021.