Research

Pre-prints

2026 Mathur A.; Liquet B.; Muller S.; Moka S. — Parsimonious Subset Selection for Generalized Linear Models with Biomedical Applications. [arXiv]
2024 Mathur A.; Moka S.; Botev Z. — A Fast MM Algorithm for Group Lasso. [PDF]

2022 Mathur A.; Moka S.; Botev Z. — Coordinate Descent for Variance-Component Models. Algorithms, 15 (10): 354. [DOI]

2024 Mathur A.; Moka S.; Liquet B.; Botev Z. — Group COMBSS: Group Selection via Continuous Optimisation. Proceedings of the Winter Simulation Conference 2024, pp. 3217–3228. [DOI]
2023 Mathur A.; Moka S.; Botev Z. — Feature Selection in Generalised Linear Models via the Lasso: To Scale or Not to Scale? 15th OPT-ML Workshop, NeurIPS 2023. [PDF]
2023 Mathur A.; Moka S.; Botev Z. — Column Subset Selection and Nyström Approximation via Continuous Optimisation. Proceedings of the Winter Simulation Conference 2023, pp. 3601–3612. [PDF]
2021 Mathur A.; Moka S.; Botev Z. — Variance Reduction for Matrix Computations with Applications to Gaussian Processes. VALUETOOLS 2021, LNCS 13116, pp. 275–290. [PDF]

SSA NSW Branch · JB Douglas Award Annual Event
Novel Optimisation Methods for Grouped Variable Selection
Dec 2023

INFORMS International Meeting 2025, Singapore
Majorisation–Minimisation Algorithms for Group Lasso
Jul 2025
UNSW Statistics Seminar
Majorisation–Minimisation Algorithms for Group Lasso
Sep 2024
Macquarie University Statistics Seminar
Majorisation–Minimisation Algorithms for Group Lasso
Sep 2024
Winter Simulation Conference 2023
Column Subset Selection and Nyström Approximation via Continuous Optimisation
Dec 2023
25th International Congress on Modelling and Simulation (MODSIM 2023)
A Continuous Optimisation Algorithm for Column Subset Selection
Jul 2023
Australian Mathematical Society Annual Meeting 2022
Optimisation Methods for Column Subset Selection
Dec 2022
VALUETOOLS 2021
Variance Reduction for Matrix Computations with Applications to Gaussian Processes
Nov 2021