Publications (Computational Statistics and Machine Learning) | Department of Statistics

Publications

Naulet, Z., Rousseau, J. and Caron, F. (2024) “Asymptotic analysis of statistical estimators related to MultiGraphex processes under misspecification”, Bernoulli, 30(4), pp. 2644–2675.

Aminian, G. et al. (2024) “Generalization error of graph neural networks in the mean-field regime”, in Proceedings of the 41st International Conference on Machine Learning (ICML 2024). Proceedings of Machine Learning Research, pp. 1359–1391.

Venkatesh, S. et al. (2024) “Characterising the genetic architecture of changes in adiposity during adulthood using electronic health records”, Nature Communications, 15(1).

Clarkson, J. et al. (2024) “Split Conformal Prediction under Data Contamination”, arXiv.

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.

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.