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 | 92 | 2020 |
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 | 54 | 2019 |
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 | 10 | 2020 |
The mathematical engineering of deep learning B Liquet, S Moka, Y Nazarathy CRC Press: Boca Raton, FL, USA, 2024 | 9 | 2024 |
Unbiased estimation of the reciprocal mean for non-negative random variables S Moka, DP Kroese, S Juneja Winter Simulation Conference (WSC), 404-415, 2019 | 9 | 2019 |
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 | 6 | 2021 |
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 | 6 | 2015 |
Perfect sampling for Gibbs point processes using partial rejection sampling SB Moka, DP Kroese | 4 | 2020 |
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 | 4 | 2015 |
COMBSS: best subset selection via continuous optimization S Moka, B Liquet, H Zhu, S Muller Statistics and Computing 34 (2), 75, 2024 | 3 | 2024 |
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 | 3 | 2017 |
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 | 2 | 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 | 2 | 2021 |
Best Subset Solution Path for Linear Dimension Reduction Models using Continuous Optimization B Liquet, S Moka, S Muller arXiv preprint arXiv:2403.20007, 2024 | 1 | 2024 |
Column subset selection and Nyström approximation via continuous optimization A Mathur, S Moka, Z Botev 2023 Winter Simulation Conference (WSC), 3601-3612, 2023 | 1 | 2023 |
Diffusion parameters of flows in stable multi-class queueing networks SB Moka, Y Nazarathy, W Scheinhardt Queueing Systems 103 (3), 313-346, 2023 | 1 | 2023 |
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 | 1 | 2018 |
Regenerative simulation for multiclass open queueing networks SB Moka, S Juneja 2013 Winter Simulations Conference (WSC), 643-654, 2013 | 1 | 2013 |
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 |