Pre-prints

1. Mathur A.; Moka S.; Botev Z. (2024). A Fast MM Algorithm for Group Lasso.
   PDF

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Journal Articles

1. Mathur A.; Moka S.; Botev Z. (2022). Coordinate Descent for Variance-Component Models.
   Algorithms, 15 (10): 354.
   https://doi.org/10.3390/a15100354

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Conference Publications

1. Mathur A.; Moka S.; Liquet B.; Botev Z. (2024). Group COMBSS: Group Selection via Continuous Optimisation.
   Proceedings of the Winter Simulation Conference 2024, pp. 3217-3228.
   https://doi.org/10.1109/WSC63780.2024.10838770

2. Mathur A.; Moka S.; Botev Z. (2023). Feature Selection in Generalised Linear Models via the Lasso: To Scale or Not to Scale?
   15th OPT-ML Workshop, NeurIPS 2023.
   https://opt-ml.org/papers/2023/paper103.pdf

3. Mathur A.; Moka S.; Botev Z. (2023). Column Subset Selection and Nyström Approximation via Continuous Optimisation.
   Proceedings of the Winter Simulation Conference 2023, pp. 3601-3612.
   https://informs-sim.org/wsc23papers/303.pdf

4. Mathur A.; Moka S.; Botev Z. (2021). Variance Reduction for Matrix Computations with Applications to Gaussian Processes.
   VALUETOOLS 2021, LNCS 13116, pp. 275-290.
   https://link.springer.com/content/pdf/10.1007/978-3-030-92511-6_16.pdf