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Sarat Babu Moka
Sarat Babu Moka
Geverifieerd e-mailadres voor unsw.edu.au - Homepage
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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
792020
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
502019
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
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
The mathematical engineering of deep learning
B Liquet, S Moka, Y Nazarathy
Obtenido de https://deeplearningmath. org/general-fully-connected-neural …, 2024
82024
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
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
Perfect sampling for Gibbs point processes using partial rejection sampling
SB Moka, DP Kroese
32020
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
COMBSS: best subset selection via continuous optimization
S Moka, B Liquet, H Zhu, S Muller
Statistics and Computing 34 (2), 75, 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
Spatial Autoregressive Model on a Dirichlet Distribution
T Nguyen, S Moka, K Mengersen, B Liquet
arXiv preprint arXiv:2403.13076, 2024
2024
Navigating Mathematical Basics: A Primer for Deep Learning in Science
B Liquet, S Moka, Y Nazarathy
2024
Feature Selection in Generalized Linear models via the Lasso: To Scale or Not to Scale?
A Mathur, SB Moka, Z Botev
OPT 2023: Optimization for Machine Learning, 2023
2023
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Artikelen 1–20