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52 Publications
2021 | Journal Article | IST-REx-ID: 10211 | 
Mondelli, Marco, et al. “Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models.” Foundations of Computational Mathematics, Springer, 2021, doi:10.1007/s10208-021-09531-x.
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2021 | Conference Paper | IST-REx-ID: 10593 |
Mondelli, Marco, and Ramji Venkataramanan. “PCA Initialization for Approximate Message Passing in Rotationally Invariant Models.” 35th Conference on Neural Information Processing Systems, vol. 35, Neural Information Processing Systems Foundation, 2021, pp. 29616–29.
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2021 | Conference Paper | IST-REx-ID: 10594 |
Nguyen, Quynh, et al. “When Are Solutions Connected in Deep Networks?” 35th Conference on Neural Information Processing Systems, vol. 35, Neural Information Processing Systems Foundation, 2021.
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2021 | Conference Paper | IST-REx-ID: 10598 |
Mondelli, Marco, and Ramji Venkataramanan. “Approximate Message Passing with Spectral Initialization for Generalized Linear Models.” Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, edited by Arindam Banerjee and Kenji Fukumizu, vol. 130, ML Research Press, 2021, pp. 397–405.
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2021 | Journal Article | IST-REx-ID: 9002
Fazeli, Arman, et al. “Binary Linear Codes with Optimal Scaling: Polar Codes with Large Kernels.” IEEE Transactions on Information Theory, vol. 67, no. 9, IEEE, 2021, pp. 5693–710, doi:10.1109/TIT.2020.3038806.
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2021 | Journal Article | IST-REx-ID: 15254 |
Li, Sijie, et al. “Network Coding with Myopic Adversaries.” IEEE Journal on Selected Areas in Information Theory, vol. 2, no. 4, IEEE, 2021, pp. 1108–19, doi:10.1109/JSAIT.2021.3126474.
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2020 | Conference Paper | IST-REx-ID: 9221 |
Nguyen, Quynh, and Marco Mondelli. “Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology.” 34th Conference on Neural Information Processing Systems, vol. 33, Curran Associates, 2020, pp. 11961–11972.
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2020 | Conference Paper | IST-REx-ID: 8536 |
Mondelli, Marco, et al. “Simplified Successive Cancellation Decoding of Polar Codes Has Sublinear Latency.” IEEE International Symposium on Information Theory - Proceedings, vol. 2020–June, 401–406, IEEE, 2020, doi:10.1109/ISIT44484.2020.9174141.
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2020 | Conference Paper | IST-REx-ID: 9198 |
Shevchenko, Alexander, and Marco Mondelli. “Landscape Connectivity and Dropout Stability of SGD Solutions for Over-Parameterized Neural Networks.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, ML Research Press, 2020, pp. 8773–84.
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2020 | Journal Article | IST-REx-ID: 6748 |
Javanmard, Adel, et al. “Analysis of a Two-Layer Neural Network via Displacement Convexity.” Annals of Statistics, vol. 48, no. 6, Institute of Mathematical Statistics, 2020, pp. 3619–42, doi:10.1214/20-AOS1945.
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2019 | Journal Article | IST-REx-ID: 6750 |
Hashemi, Seyyed Ali, et al. “Rate-Flexible Fast Polar Decoders.” IEEE Transactions on Signal Processing, vol. 67, no. 22, 8854897, IEEE, 2019, doi:10.1109/TSP.2019.2944738.
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2019 | Journal Article | IST-REx-ID: 7007 |
Mondelli, Marco, et al. “A New Coding Paradigm for the Primitive Relay Channel.” Algorithms, vol. 12, no. 10, 218, MDPI, 2019, doi:10.3390/a12100218.
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