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Preprints

Moka S; Vahedi A, 2026, Uniform Sampling of Proper Graph Colorings via Soft Coloring and Partial Rejection Sampling, https://arxiv.org/abs/2604.03947v2

Moka S; Mathur A; Liquet B; Muller S, 2026, Parsimonious Subset Selection for Generalized Linear Models with Biomedical Applications

Moka S; Quiroz M; Asmit V; Muller S, 2025, A Scalable Gradient-Based Optimization Framework for Sparse Minimum-Variance Portfolio Selection

Moka S; Hirsch C; Schmidt V; Kroese D, 2025, Efficient Rare-Event Simulation for Random Geometric Graphs via Importance Sampling, https://doi.org/10.1007/s11009-026-10273-y

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

Mathur A; Moka S; Liquet B; Botev Z, 2024, Group COMBSS: Group Selection via Continuous Optimization, http://dx.doi.org/10.48550/arxiv.2404.13339

Moka S; Nguyen T; Mengersen K; Liquet B, 2024, Spatial Autoregressive Model on a Dirichlet Distribution

Mathur A; Moka S; Botev Z, 2023, Generalized Linear Models via the Lasso: To Scale or Not to Scale?, http://dx.doi.org/10.48550/arxiv.2311.11236

Mathur A; Moka S; Botev Z, 2023, Column Subset Selection and Nyström Approximation via Continuous Optimization, http://dx.doi.org/10.48550/arxiv.2304.09678

Mathur A; Moka S; Botev Z, 2023, Variance Reduction for Matrix Computations with Applications to Gaussian Processes, http://dx.doi.org/10.48550/arxiv.2106.14565

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

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

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

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

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

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


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