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Sarat Babu Moka
Sarat Babu Moka
Research Fellow, Macquarie University
Bestätigte E-Mail-Adresse bei mq.edu.au
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Zitiert von
Zitiert von
Jahr
Chromosome arm aneuploidies shape tumour evolution and drug response
A Shukla, THM Nguyen, SB Moka, JJ Ellis, JP Grady, H Oey, AS Cristino, ...
Nature communications 11 (1), 1-14, 2020
412020
Towards q-learning the whittle index for restless bandits
J Fu, Y Nazarathy, S Moka, PG Taylor
2019 Australian & New Zealand Control Conference (ANZCC), 249-254, 2019
282019
Safe Blues: a method for estimation and control in the fight against COVID-19
R Dandekar, SG Henderson, M Jansen, S Moka, Y Nazarathy, ...
medRxiv, 2020
92020
Spatial loss systems: Exact simulation and rare event behavior
S Foss, S Juneja, MRH Mandjes, SB Moka
ACM SIGMETRICS Performance Evaluation Review 43 (2), 3-6, 2015
52015
Unbiased estimation of the reciprocal mean for non-negative random variables
S Moka, DP Kroese, S Juneja
Winter Simulation Conference (WSC), 404-415, 2019
42019
Regenerative simulation for queueing networks with exponential or heavier tail arrival distributions
SB Moka, S Juneja
ACM Transactions on Modeling and Computer Simulation (TOMACS) 25 (4), 1-22, 2015
42015
Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemics
R Dandekar, SG Henderson, HM Jansen, J McDonald, S Moka, ...
Patterns 2 (3), 100220, 2021
32021
Perfect sampling for Gibbs processes with a focus on hard-sphere models
SB Moka, S Juneja, MRH Mandjes
arXiv preprint arXiv:1705.00142 1705, 2017
32017
Perfect sampling for Gibbs point processes using partial rejection sampling
SB Moka, DP Kroese
Bernoulli 26 (3), 2082-2104, 2020
22020
Rare events in random geometric graphs
C Hirsch, SB Moka, T Taimre, DP Kroese
Methodology and Computing in Applied Probability 24 (3), 1367-1383, 2022
12022
The Mathematical Engineering of Deep Learning
B Liquet, S Moka, Y Nazarathy
Obtenido de https://deeplearningmath. org/general-fully-connected-neural …, 2022
12022
Analysis of perfect sampling methods for hard-sphere models
SB Moka, S Juneja, MRH Mandjes
ACM SIGMETRICS Performance Evaluation Review 45 (3), 69-75, 2018
12018
Regenerative simulation for multiclass open queueing networks
SB Moka, S Juneja
2013 Winter Simulations Conference (WSC), 643-654, 2013
12013
COMBSS: Best Subset Selection via Continuous Optimization
S Moka, B Liquet, H Zhu, S Muller
arXiv preprint arXiv:2205.02617, 2022
2022
Variance Reduction for Matrix Computations with Applications to Gaussian Processes
A Mathur, S Moka, Z Botev
EAI International Conference on Performance Evaluation Methodologies and …, 2021
2021
Rejection-and importance-sampling-based perfect simulation for Gibbs hard-sphere models
S Moka, S Juneja, M Mandjes
Advances in Applied Probability 53 (3), 839-885, 2021
2021
Safe Blues: A Method for Estimation and Control in the Fight Against COVID-19
SG Henderson, M Jansen, J McCaw, S Moka, Y Nazarathy, ...
2020
Diffusion Parameters of Flows in Stable Multi-class Queueing Networks
SB Moka, Y Nazarathy, W Scheinhardt
arXiv preprint arXiv:1311.5610, 2013
2013
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