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Publications

Naik, C. et al. (2023) “Bayesian Nonparametrics for Sparse Dynamic Networks”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Nature, pp. 191–206.
Naik, C. et al. (2023) “Bayesian Nonparametrics for Sparse Dynamic Networks”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Nature, pp. 191–206.
Naik, C. et al. (2023) “Bayesian nonparametrics for sparse dynamic networks”, in Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2022. Springer Nature, pp. 191–206.
Naik, C. et al. (2023) “Bayesian nonparametrics for sparse dynamic networks”, in Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2022. Springer Nature, pp. 191–206.
Johnson, E., Pike-Burke, C. and Rebeschini, P. (2023) “Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes”, arXiv.
Li, G. et al. (2023) “A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic”, Environment International, 172, p. 107765.
Li, G. et al. (2023) “A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic”, Environment International, 172, p. 107765.
Alfano, C., Yuan, R. and Rebeschini, P. (2023) “A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence”, arXiv.
Schwarz, J. et al. (2023) “Modality-Agnostic Variational Compression of Implicit Neural Representations”, in Proceedings of Machine Learning Research, pp. 30342–30364.
Venkatesh, S. et al. (2023) “Genetic architecture of longitudinal obesity trajectories in primary care electronic health records”, in EUROPEAN JOURNAL OF HUMAN GENETICS, pp. 39–39.