Publications (Computational Statistics and Machine Learning) Publications Johnson, E., Pike-Burke, C. and Rebeschini, P. (2023) “Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes”, arXiv. Lu, Y., Reinert, G. and Cucuringu, M. (2023) “Co-Trading Networks for Modeling Dynamic Interdependency Structures and Estimating High-Dimensional Covariances in US Equity Markets”, SSRN Electronic Journal. Lu, Y., Reinert, G. and Cucuringu, M. (2023) “Co-trading networks for modeling dynamic interdependency structures and estimating high-dimensional covariances in US equity markets”, arXiv. Caron, F. et al. (2023) “Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning”, arXiv. Dablander, M. et al. (2023) “Exploring QSAR models for activity-cliff prediction.” Alfano, C., Yuan, R. and Rebeschini, P. (2023) “A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence”, arXiv. Li, G. et al. (2023) “A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic”, Environment International, 172, pp. 107765–107765. Li, G. et al. (2023) “A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic”, Environment International, 172, pp. 107765–107765. Smith, F. et al. (2023) “Prediction-Oriented Bayesian Active Learning”, in Proceedings of Machine Learning Research, pp. 7331–7348. Mijoule, G. et al. (2023) “Stein’s density method for multivariate continuous distributions”, Electronic Journal of Probability, 28(none). Pagination First page First Previous page ‹ … Page 17 Page 18 Page 19 Page 20 Page 21 Page 22 Page 23 Page 24 Page 25 … Next page › Last page Last