Publications

Budd, J. et al. (2024) “A large-scale and PCR-referenced vocal audio dataset for COVID-19”, Scientific Data, 11(1).

Lu, Y., Reinert, G. and Cucuringu, M. (2024) “Trade co-occurrence, trade flow decomposition, and conditional order imbalance in equity markets”, Quantitative Finance, 24(6), pp. 779–809.

Armbruster, S. and Reinert, G. (2024) “Network-based time series modeling for COVID-19 incidence in the Republic of Ireland”, Applied Network Science, 9(1).

Howard, S. et al. (2024) “Differentiable Cost-Parameterized Monge Map Estimators”, arXiv.

Whitehead, M. et al. (2024) “Equity in medical devices: trainers and educators play a vital role”, The BMJ, 385, p. q1091.

Dupuis, B. et al. (2024) “Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets”, Journal of machine learning research [Preprint].

Huh, J. and Rebeschini, P. (2024) “Generalization bounds for label noise stochastic gradient descent”, in Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024). PMLR, pp. 1360–1368.

Reichelt, T., Ong, L. and Rainforth, T. (2024) “Beyond Bayesian model averaging over paths in probabilistic programs with stochastic support”, in Proceedings of The 27th International Conference on Artificial Intelligence and Statistics. Journal of Machine Learning Research, pp. 829–837.