Dr Sarat Moka

I am a lecturer in the School of Mathematics and Statistics at The University of New South Wales. I also hold a honorary lecturer position at Macquarie University. Prior to this, I was a Research Fellow at Macquarie University (2021--2023), and before that I was an ACEMS Postdoctoral Research Fellow at The University of Queensland (2017--2021). I have obtained my PhD from the Tata Institute of Fundamental Research, Mumbai, in 2017. I was a scientist at the Indian Space Research Organization (2008--2010) after completing a Master of Engineering degree at the Indian Institute of Science in 2008. I obtained Bachelor of Engineering degree from Andhra University in 2006.

My research broadly focuses on problems in Probability Theory, Data Science, Statistics, Deep Learning, and Monte Carlo Simulation.

E-mail

s.moka@unsw.edu.au

Location

1036, Level 1, Anita B. Lawrence Centre (Red Centre)

Books | 2024

Liquet B; Moka S; Nazarathy Y, 2024, Mathematical Engineering of Deep Learning, http://dx.doi.org/10.1201/9781003298687
Book Chapters | 2024

Liquet B; Moka S; Nazarathy Y, 2024, 'Navigating Mathematical Basics: A Primer for Deep Learning in Science', in Advances in Experimental Medicine and Biology, pp. 71 - 96, http://dx.doi.org/10.1007/978-3-031-64892-2_5

Book Chapters | 2021

Mathur A; Moka S; Botev Z, 2021, 'Variance Reduction for Matrix Computations with Applications to Gaussian Processes', in Zhao Q; Xia L (ed.), Performance Evaluation Methodologies and Tools, pp. 243 - 261, http://dx.doi.org/10.1007/978-3-030-92511-6_16
Journal articles | 2025

Liquet B; Moka S; Muller S, 2025, 'Best Subset Solution Path for Linear Dimension Reduction Models Using Continuous Optimization', Biometrical Journal, 67, http://dx.doi.org/10.1002/bimj.70015

Journal articles | 2024

Moka S; Liquet B; Zhu H; Muller S, 2024, 'COMBSS: best subset selection via continuous optimization', Statistics and Computing, 34, http://dx.doi.org/10.1007/s11222-024-10387-8

Journal articles | 2023

Moka SB; Nazarathy Y; Scheinhardt W, 2023, 'Diffusion parameters of flows in stable multi-class queueing networks', Queueing Systems, 103, pp. 313 - 346, http://dx.doi.org/10.1007/s11134-022-09869-1

Journal articles | 2022

Hirsch C; Moka SB; Taimre T; Kroese DP, 2022, 'Rare Events in Random Geometric Graphs', Methodology and Computing in Applied Probability, 24, pp. 1367 - 1383, http://dx.doi.org/10.1007/s11009-021-09857-7

Journal articles | 2022

Mathur A; Moka S; Botev Z, 2022, 'Coordinate Descent for Variance-Component Models', Algorithms, 15, http://dx.doi.org/10.3390/a15100354

Journal articles | 2021

Dandekar R; Henderson SG; Jansen HM; McDonald J; Moka S; Nazarathy Y; Rackauckas C; Taylor PG; Vuorinen A, 2021, 'Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemics', Patterns, 2, http://dx.doi.org/10.1016/j.patter.2021.100220

Journal articles | 2021

Moka S; Juneja S; Mandjes M, 2021, 'Rejection-and importance-sampling-based perfect simulation for Gibbs hard-sphere models', Advances in Applied Probability, 53, pp. 839 - 885, http://dx.doi.org/10.1017/apr.2021.1

Journal articles | 2020

Moka SB; Kroese DP, 2020, 'Perfect sampling for Gibbs point processes using partial rejection sampling', Bernoulli, 26, pp. 2082 - 2104, http://dx.doi.org/10.3150/19-BEJ1184

Journal articles | 2020

Shukla A; Nguyen THM; Moka SB; Ellis JJ; Grady JP; Oey H; Cristino AS; Khanna KK; Kroese DP; Krause L; Dray E; Fink JL; Duijf PHG, 2020, 'Chromosome arm aneuploidies shape tumour evolution and drug response', Nature Communications, 11, http://dx.doi.org/10.1038/s41467-020-14286-0

Journal articles | 2018

Moka SB; Juneja S; Mandjes MRH, 2018, 'Analysis of perfect sampling methods for hard-sphere models', Performance Evaluation Review, 45, pp. 69 - 75, http://dx.doi.org/10.1145/3199524.3199536

Journal articles | 2015

Foss S; Juneja S; Mandjes MRH; Moka SB, 2015, 'Spatial loss systems: Exact simulation and rare event behavior', Performance Evaluation Review, 43, pp. 3 - 6, http://dx.doi.org/10.1145/2825236.2825238

Journal articles | 2015

Moka SB; Juneja S, 2015, 'Regenerative simulation for queueing networks with exponential or heavier tail arrival distributions', ACM Transactions on Modeling and Computer Simulation, 25, http://dx.doi.org/10.1145/2699717
Preprints | 2025

Moka S; Hirsch C; Schmidt V; Kroese D, 2025, Efficient Rare-Event Simulation for Random Geometric Graphs via Importance Sampling, http://arxiv.org/abs/2504.10530v2

Conference Papers | 2024

Mathur A; Moka S; Liquet B; Botev Z, 2024, 'GROUP COMBSS: GROUP SELECTION VIA CONTINUOUS OPTIMIZATION', in Proceedings - Winter Simulation Conference, pp. 3217 - 3228, http://dx.doi.org/10.1109/WSC63780.2024.10838770

Conference Papers | 2024

Reimann H; Moka S; Sofronov G, 2024, 'CONTINUOUS OPTIMIZATION FOR OFFLINE CHANGE POINT DETECTION AND ESTIMATION', in Proceedings - Winter Simulation Conference, pp. 2190 - 2201, http://dx.doi.org/10.1109/WSC63780.2024.10838722

Preprints | 2024

Reimann H; Moka S; Sofronov G, 2024, Continuous Optimization for Offline Change Point Detection and Estimation, http://arxiv.org/abs/2407.03383v1

Conference Papers | 2023

Mathur A; Moka S; Botev Z, 2023, 'Column Subset Selection and Nyström Approximation via Continuous Optimization', in Proceedings - Winter Simulation Conference, pp. 3601 - 3612, http://dx.doi.org/10.1109/WSC60868.2023.10407416

Preprints | 2023

Mathur A; Moka S; Botev Z, 2023, Column Subset Selection and Nyström Approximation via Continuous Optimization, http://arxiv.org/abs/2304.09678v1

Preprints | 2023

Mathur A; Moka S; Botev Z, 2023, Generalized Linear Models via the Lasso: To Scale or Not to Scale?, http://arxiv.org/abs/2311.11236v1

Preprints | 2022

Moka S; Liquet B; Zhu H; Muller S, 2022, COMBSS: Best Subset Selection via Continuous Optimization, http://arxiv.org/abs/2205.02617v3

Conference Papers | 2021

Mathur A; Moka S; Botev Z, 2021, 'Variance Reduction for Matrix Computations with Applications to Gaussian Processes', in Zhao Q; Xia L (ed.), pp. 243 - 261, http://dx.doi.org/10.1007/978-3-030-92511-6_16

Preprints | 2021

Mathur A; Moka S; Botev Z, 2021, Variance Reduction for Matrix Computations with Applications to Gaussian Processes, http://arxiv.org/abs/2106.14565v3

Preprints | 2020

Hirsch C; Moka SB; Taimre T; Kroese DP, 2020, Rare Events in Random Geometric Graphs, http://arxiv.org/abs/2007.05965v1

Conference Papers | 2019

Fu J; Nazarathy Y; Moka S; Taylor PG, 2019, 'Towards Q-learning the whittle index for restless bandits', in 2019 Australian and New Zealand Control Conference, ANZCC 2019, pp. 249 - 254, http://dx.doi.org/10.1109/ANZCC47194.2019.8945748

Preprints | 2019

Moka S; Kroese DP; Juneja S, 2019, Unbiased Estimation of the Reciprocal Mean for Non-negative Random Variables, , http://arxiv.org/abs/1907.01843v1

Conference Papers | 2019

Moka SB; Kroese DP; Juneja S, 2019, 'Unbiased Estimation of the Reciprocal Mean for Non-Negative Random Variables', in Proceedings - Winter Simulation Conference, pp. 404 - 415, http://dx.doi.org/10.1109/WSC40007.2019.9004815

Preprints | 2019

Moka SB; Kroese DP, 2019, Perfect Sampling for Gibbs Point Processes Using Partial Rejection Sampling, , http://arxiv.org/abs/1901.05624v1

Preprints | 2017

Moka SB; Juneja S; Mandjes MRH, 2017, Rejection and Importance Sampling based Perfect Simulation for Gibbs hard-sphere models, http://arxiv.org/abs/1705.00142v4

Conference Papers | 2013

Moka SB; Juneja S, 2013, 'Regenerative simulation for multiclass open queueing networks', in Proceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013, pp. 643 - 654, http://dx.doi.org/10.1109/WSC.2013.6721458

Preprints | 2013

Moka SB; Juneja S, 2013, Regenerative Simulation for Queueing Networks with Exponential or Heavier Tail Arrival Distributions, , http://arxiv.org/abs/1307.5424v2

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Dr Sarat Moka