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Preprints

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

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

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

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

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

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

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

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

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

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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