Õ¬Äи£Àû
Back to
Dr Sarat Moka

Dr Sarat Moka

Lecturer
Science
School of Mathematics & Statistics

Õ¬Äи£Àûpage:

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.

Ìý
E-mail
s.moka@unsw.edu.au
Location
4110, Level 4, Red Centre
  • 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, ,