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Dr Sarat Moka

Dr Sarat Moka

Lecturer
Science
School of Mathematics & Statistics

91³ÉÈ˰涶Òôpage:

I am currently a (tenure track) lecturer in the School of Mathematics and Statistics at The University of New South Wales. 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. 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.

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

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E-mail
s.moka@unsw.edu.au
Location
4110, Level 4, Red Centre
  • 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,
    Book Chapters | 2021
    Mathur A; Moka S; Botev Z, 2021, 'Variance Reduction forÌýMatrix Computations withÌýApplications toÌýGaussian Processes', in Zhao Q; Xia L (ed.), Performance Evaluation Methodologies and Tools, pp. 243 - 261,
  • Journal articles | 2024
    Moka S; Liquet B; Zhu H; Muller S, 2024, 'COMBSS: best subset selection via continuous optimization', Statistics and Computing, 34,
    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,
    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,
    Journal articles | 2022
    Mathur A; Moka S; Botev Z, 2022, 'Coordinate Descent for Variance-Component Models', Algorithms, 15,
    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,
    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,
    Journal articles | 2020
    Moka SB; Kroese DP, 2020, 'Perfect sampling for Gibbs point processes using partial rejection sampling', Bernoulli, 26, pp. 2082 - 2104,
    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,
    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,
    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,
    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,
  • Preprints | 2024
    Reimann H; Moka S; Sofronov G, 2024, Continuous Optimization for Offline Change Point Detection and Estimation, ,
    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,
    Preprints | 2023
    Mathur A; Moka S; Botev Z, 2023, Column Subset Selection and Nyström Approximation via Continuous Optimization, ,
    Preprints | 2023
    Mathur A; Moka S; Botev Z, 2023, Generalized Linear Models via the Lasso: To Scale or Not to Scale?, ,
    Preprints | 2022
    Moka S; Liquet B; Zhu H; Muller S, 2022, COMBSS: Best Subset Selection via Continuous Optimization, ,
    Conference Papers | 2021
    Mathur A; Moka S; Botev Z, 2021, 'Variance Reduction forÌýMatrix Computations withÌýApplications toÌýGaussian Processes', in Zhao Q; Xia L (ed.), pp. 243 - 261,
    Preprints | 2021
    Mathur A; Moka S; Botev Z, 2021, Variance Reduction for Matrix Computations with Applications to Gaussian Processes, ,
    Preprints | 2020
    Hirsch C; Moka SB; Taimre T; Kroese DP, 2020, Rare Events in Random Geometric Graphs, ,
    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,
    Preprints | 2019
    Moka S; Kroese DP; Juneja S, 2019, Unbiased Estimation of the Reciprocal Mean for Non-negative Random Variables, ,
    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,
    Preprints | 2019
    Moka SB; Kroese DP, 2019, Perfect Sampling for Gibbs Point Processes Using Partial Rejection Sampling, ,
    Preprints | 2017
    Moka SB; Juneja S; Mandjes MRH, 2017, Rejection and Importance Sampling based Perfect Simulation for Gibbs hard-sphere models, ,
    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,
    Preprints | 2013
    Moka SB; Juneja S, 2013, Regenerative Simulation for Queueing Networks with Exponential or Heavier Tail Arrival Distributions, ,