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2020 – today
- 2023
[i5]Céline Comte, Matthieu Jonckheere, Jaron Sanders, Albert Senen-Cerda:
Score-Aware Policy-Gradient Methods and Performance Guarantees using Local Lyapunov Conditions: Applications to Product-Form Stochastic Networks and Queueing Systems. CoRR abs/2312.02804 (2023)- 2022
- [j2]Oxana A. Manita, Mark A. Peletier, Jacobus W. Portegies, Jaron Sanders, Albert Senen-Cerda:
Universal Approximation in Dropout Neural Networks. J. Mach. Learn. Res. 23: 19:1-19:46 (2022) - [j1]Albert Senen-Cerda, Jaron Sanders:
Asymptotic Convergence Rate of Dropout on Shallow Linear Neural Networks. Proc. ACM Meas. Anal. Comput. Syst. 6(2): 32:1-32:53 (2022) - [c1]Albert Senen-Cerda, Jaron Sanders:
Asymptotic Convergence Rate of Dropout on Shallow Linear Neural Networks. SIGMETRICS (Abstracts) 2022: 105-106 - [i4]Alexander Van Werde
, Albert Senen-Cerda, Gianluca Kosmella, Jaron Sanders:
Detection and Evaluation of Clusters within Sequential Data. CoRR abs/2210.01679 (2022) - 2020
- [i3]Albert Senen-Cerda, Jaron Sanders:
Almost Sure Convergence of Dropout Algorithms for Neural Networks. CoRR abs/2002.02247 (2020) - [i2]Albert Senen-Cerda, Jaron Sanders:
Asymptotic convergence rate of Dropout on shallow linear neural networks. CoRR abs/2012.01978 (2020) - [i1]Oxana A. Manita, Mark A. Peletier, Jacobus W. Portegies, Jaron Sanders, Albert Senen-Cerda:
Universal Approximation in Dropout Neural Networks. CoRR abs/2012.10351 (2020)
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