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Sarat Babu Moka
Sarat Babu Moka
Verified email at unsw.edu.au - Homepage
Title
Cited by
Cited by
Year
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), 449, 2020
852020
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
542019
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, 2020.05. 04.20090258, 2020
102020
The mathematical engineering of deep learning
B Liquet, S Moka, Y Nazarathy
Obtenido de https://deeplearningmath. org/general-fully-connected-neural …, 2024
92024
Unbiased estimation of the reciprocal mean for non-negative random variables
S Moka, DP Kroese, S Juneja
Winter Simulation Conference (WSC), 404-415, 2019
92019
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), 2021
62021
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
62015
Perfect sampling for Gibbs point processes using partial rejection sampling
SB Moka, DP Kroese
42020
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
COMBSS: best subset selection via continuous optimization
S Moka, B Liquet, H Zhu, S Muller
Statistics and Computing 34 (2), 75, 2024
32024
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
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
22022
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
22021
Best Subset Solution Path for Linear Dimension Reduction Models using Continuous Optimization
B Liquet, S Moka, S Muller
arXiv preprint arXiv:2403.20007, 2024
12024
Column subset selection and Nyström approximation via continuous optimization
A Mathur, S Moka, Z Botev
2023 Winter Simulation Conference (WSC), 3601-3612, 2023
12023
Diffusion parameters of flows in stable multi-class queueing networks
SB Moka, Y Nazarathy, W Scheinhardt
Queueing Systems 103 (3), 313-346, 2023
12023
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
Group COMBSS: Group Selection via Continuous Optimization
A Mathur, S Moka, B Liquet, Z Botev
arXiv preprint arXiv:2404.13339, 2024
2024
Spatial Autoregressive Model on a Dirichlet Distribution
T Nguyen, S Moka, K Mengersen, B Liquet
arXiv preprint arXiv:2403.13076, 2024
2024
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