Jaron Sanders

27 papers Misc 1Journal 22Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Almost Sure Convergence of Dropout Algorithms for Neural Networks.
J. Mach. Learn. Res.
Albert Senen-Cerda, Jaron Sanders
2025 J jnl
Asymptotically optimal reinforcement learning in Block Markov Decision Processes.
CoRR
Thomas van Vuren, Fiona Sloothaak, Maarten G. Wolf, Jaron Sanders
2025 J jnl
Demonstration of effective UCB-based routing in skill-based queues on real-world data.
CoRR
Sanne van Kempen, Jaron Sanders, Fiona Sloothaak, Maarten G. Wolf
2025 J jnl
Detection and evaluation of clusters within sequential data.
Data Min. Knowl. Discov.
Alexander Van Werde, Albert Senen-Cerda, Gianluca Kosmella, Jaron Sanders
2025 J jnl
Dropout Neural Network Training Viewed from a Percolation Perspective.
CoRR
Finley Devlin, Jaron Sanders
2025 J jnl
In situ fine-tuning of in silico trained Optical Neural Networks.
CoRR
Gianluca Kosmella, Ripalta Stabile, Jaron Sanders
2025 J jnl
Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability.
J. Mach. Learn. Res.
Céline Comte, Matthieu Jonckheere, Jaron Sanders, Albert Senen-Cerda
2024 J jnl
Estimating the number of clusters of a Block Markov Chain.
CoRR
Thomas van Vuren, Thomas Cronk, Jaron Sanders
2024 J jnl
Learning payoffs while routing in skill-based queues.
CoRR
Sanne van Kempen, Jaron Sanders, Fiona Sloothaak, Maarten G. Wolf
2024 J jnl
Noise-resilient designs and analysis for optical neural networks.
Neuromorph. Comput. Eng.
Gianluca Kosmella, Ripalta Stabile, Jaron Sanders
2023 Misc conf
Higher-Accuracy Photonic Neural Networks via Duplication Schemes for Noise Reduction.
PSC
Gianluca Kosmella, Jaron Sanders, Bin Shi, Ripalta Stabile
2023 J jnl
Noise-Resilient Designs for Optical Neural Networks.
CoRR
Gianluca Kosmella, Ripalta Stabile, Jaron Sanders
2023 J jnl
Score-Aware Policy-Gradient Methods and Performance Guarantees using Local Lyapunov Conditions: Applications to Product-Form Stochastic Networks and Queueing Systems.
CoRR
Céline Comte, Matthieu Jonckheere, Jaron Sanders, Albert Senen-Cerda
2022 — conf
Asymptotic Convergence Rate of Dropout on Shallow Linear Neural Networks.
SIGMETRICS (Abstracts)
Albert Senen-Cerda, Jaron Sanders
2022 J jnl
Asymptotic Convergence Rate of Dropout on Shallow Linear Neural Networks.
Proc. ACM Meas. Anal. Comput. Syst.
Albert Senen-Cerda, Jaron Sanders
2022 J jnl
Detection and Evaluation of Clusters within Sequential Data.
CoRR
Alexander Van Werde, Albert Senen-Cerda, Gianluca Kosmella, Jaron Sanders
2022 J jnl
Universal Approximation in Dropout Neural Networks.
J. Mach. Learn. Res.
Oxana A. Manita, Mark A. Peletier, Jacobus W. Portegies, Jaron Sanders, Albert Senen-Cerda
2021 — conf
Markov Chains and Hitting Times for Error Accumulation in Quantum Circuits.
VALUETOOLS
Long Ma, Jaron Sanders
2020 J jnl
Almost Sure Convergence of Dropout Algorithms for Neural Networks.
CoRR
Albert Senen-Cerda, Jaron Sanders
2020 J jnl
Asymptotic convergence rate of Dropout on shallow linear neural networks.
CoRR
Albert Senen-Cerda, Jaron Sanders
2020 J jnl
Universal Approximation in Dropout Neural Networks.
CoRR
Oxana A. Manita, Mark A. Peletier, Jacobus W. Portegies, Jaron Sanders, Albert Senen-Cerda
2017 J jnl
Clustering in Block Markov Chains.
CoRR
Jaron Sanders, Alexandre Proutière, Se-Young Yun
2016 J jnl
Online Network Optimization Using Product-Form Markov Processes.
IEEE Trans. Autom. Control.
Jaron Sanders, Sem C. Borst, Johan S. H. van Leeuwaarden
2016 J jnl
Optimality gaps in asymptotic dimensioning of many-server systems.
Oper. Res. Lett.
Jaron Sanders, Sem C. Borst, A. J. E. M. Janssen, J. S. H. van Leeuwaarden
2013 J jnl
Scaled control in the QED regime.
Perform. Evaluation
A. J. E. M. Janssen, J. S. H. van Leeuwaarden, Jaron Sanders
2012 — conf
Achievable performance in product-form networks.
Allerton Conference
Jaron Sanders, Sem C. Borst, Johan van Leeuwaarden
2012 — conf
Online optimization of product-form networks.
VALUETOOLS
Jaron Sanders, Sem C. Borst, Johan van Leeuwaarden