Recent publications
Article
Evers, LJW, Raykov, YP, Heskes, TM, Krijthe, JH, Bloem, BR & Little, MA 2025, 'Passive Monitoring of Parkinson Tremor in Daily Life: A Prototypical Network Approach', Sensors, vol. 25, no. 2, 366. https://doi.org/10.3390/s25020366
Post, E, Laarhoven, TV, Raykov, YP, Little, MA, Nonnekes, J, Heskes, TM, Bloem, BR & Evers, LJW 2025, 'Quantifying arm swing in Parkinson’s disease: a method accounting for arm activities during free-living gait', Journal of neuroengineering and rehabilitation, vol. 22, no. 1, 22. https://doi.org/10.1186/s12984-025-01578-z
Farooq, A, Raykov, YP, Raykov, P & Little, MA 2024, 'Adaptive Latent Feature Sharing for Piecewise Linear Dimensionality Reduction', Journal of Machine Learning Research, vol. 25, no. 135, pp. 1-42. <http://jmlr.org/papers/v25/21-0146.html>
Little, MA, He, X & Kayas, U 2024, 'Polymorphic dynamic programming by algebraic shortcut fusion', Formal Aspects of Computing, vol. 36, no. 2, 11. https://doi.org/10.1145/3664828
Little, MA 2022, 'GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference', Journal of Open Source Software, vol. 7, no. 76, 4534. https://doi.org/10.21105/joss.04534
Omberg, L, Chaibub Neto, E, Perumal, TM, Pratap, A, Tediarjo, A, Adams, J, Bloem, BR, Bot, BM, Elson, M, Goldman, SM, Kellen, MR, Kieburtz, K, Klein, A, Little, MA, Schneider, R, Suver, C, Tarolli, C, Tanner, CM, Trister, AD, Wilbanks, J, Dorsey, ER & Mangravite, LM 2022, 'Remote smartphone monitoring of Parkinson's disease and individual response to therapy', Nature Biotechnology, vol. 40, no. 4, pp. 480-487. https://doi.org/10.1038/s41587-021-00974-9
Conference contribution
He, X & Little, M 2026, An efficient, provably optimal algorithm for the 0-1 loss linear classification problem. in The Fourteenth International Conference on Learning Representations: ICLR 2026. International Conference on Learning Representations, ICLR, Fourteenth International Conference on Learning Representations, Rio de Janeiro, Brazil, 23/04/26.
He, X, Miao, Y & Little, M 2026, Deep-ICE: The first globally optimal algorithm for empirical risk minimization of two-layer maxout and ReLU networks. in The Fourteenth International Conference on Learning Representations: ICLR 2026. International Conference on Learning Representations, ICLR, Fourteenth International Conference on Learning Representations, Rio de Janeiro, Brazil, 23/04/26.
Eryilmaz, O, Katar, C & Little, M 2025, Ellipsoidal Filtration for Topological Denoising of Recurrent Signals. in 2025 International Symposium on Nonlinear Theory and Its Applications. IEICE proceeding series, Institute of Electronics, Information and Communication Engineers, pp. 610-613, The 2025 International Symposium on Nonlinear Theory and Its Applications , Okinawa, Japan, 27/10/25. <https://arxiv.org/abs/2510.16682>
Poster
Mao, J & Little, M 2026, 'A Deconfounding Method for Reverse Causal Inference Using Causally Weighted Gaussian Mixture Models', HDR UK Early Career Researcher (ECR) Conference 2026, London, United Kingdom, 21/04/26 - 21/04/26.
Mao, J & Little, M 2026, 'A Weighted Resampling Framework for Causal Transportability', EUROPEAN CAUSAL INFERENCE MEETING 2026, Oxford, United Kingdom, 15/04/26 - 17/04/26.
Zakar, N, Little, M & Aloyayri, A 2026, 'Causal Identification via DAG and ADMG Simplification in Wearable Parkinson’s Disease Studies', EUROPEAN CAUSAL INFERENCE MEETING 2026, Oxford, United Kingdom, 15/04/26 - 17/04/26.
Eryilmaz, O, Katar, C & Little, M 2025, 'Ellipsoidal Filtration for Topological Denoising of Quasi-Periodic Signals', Dynamics Days Europe 2025, Thessaloniki, Greece, 23/06/25 - 27/06/25.
Preprint
Mao, J & Little, MA 2025 'Front-door Reducibility: Reducing ADMGs to the Standard Front-door Setting via a Graphical Criterion' arXiv. https://doi.org/10.48550/arXiv.2511.15679
Mao, J & Little, MA 2024 'Mechanism Learning: reverse causal inference in the presence of multiple unknown confounding through causally weighted Gaussian mixture models' arXiv. https://doi.org/10.48550/arXiv.2410.20057
View all publications in research portal