Stochastic Gradient MCMC for Nonlinear State Space Models*

Aicher, C., Putcha, S., Nemeth, C., Fearnhead, P. & Fox, E. B., 31/03/2025, In: Bayesian Analysis. 20, 1, p. 1385-1407 23 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

A changepoint approach to modelling non-stationary soil moisture dynamics

Gong, M., Killick, R., Nemeth, C. & Quinton, J., 29/01/2025, (E-pub ahead of print) In: Journal of the Royal Statistical Society. Series C: Applied Statistics. 74, 3, p. 866-883 18 p., qlaf004.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI

Papamarkou, T., Skoularidou, M., Palla, K., Aitchison, L., Arbel, J., Dunson, D., Filippone, M., Fortuin, V., Hennig, P., Hernández-Lobato, J. M., Hubin, A., Immer, A., Karaletsos, T., Khan, M. E., Kristiadi, A., Li, Y., Mandt, S., Nemeth, C., Osborne, M. A. & Rudner, T. G. J. & 5 others, Rügamer, D., Teh, Y. W., Welling, M., Wilson, A. G. & Zhang, R., 31/12/2024, In: Proceedings of Machine Learning Research. 235, p. 39556-39586 31 p.

Research output: Contribution to Journal/Magazine › Conference article › peer-review

Latent Space Modelling of Hypergraph Data

Turnbull, K., Lunagomez, S., Nemeth, C. & Airoldi, E., 31/10/2024, In: Journal of the American Statistical Association. 119, 548, p. 2634-2646 13 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows

Cabezas Gonzalez, A., Sharrock, L. & Nemeth, C., 25/09/2024, (Accepted/In press) In: Advances in Neural Information Processing Systems.

Research output: Contribution to Journal/Magazine › Conference article › peer-review

Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting

Sharrock, L., Dodd, D. & Nemeth, C., 19/07/2024, In: Proceedings of Machine Learning Research. 238, p. 1810-1818 9 p.

Research output: Contribution to Journal/Magazine › Conference article › peer-review

Robust Bayesian nonparametric variable selection for linear regression

Cabezas, A., Battiston, M. & Nemeth, C., 27/05/2024, In: Stat. 13, 2, e696.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds

Dodd, D., Sharrock, L. & Nemeth, C., 1/05/2024, (Accepted/In press) In: Proceedings of Machine Learning Research.

Research output: Contribution to Journal/Magazine › Conference article › peer-review

Seconder of the vote of thanks and contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’

Nemeth, C., 2/01/2024, (E-pub ahead of print) In: Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Research output: Contribution to Journal/Magazine › Journal article › peer-review