Imperial College London

Dr Ö. Deniz Akyildiz

Faculty of Natural SciencesDepartment of Mathematics

Lecturer in Statistics



deniz.akyildiz Website




6m54Huxley BuildingSouth Kensington Campus





I work at the intersection of computational statistics, machine learning, and generative modelling. A proper summary can be found on my webpage.



Akyildiz OD, 2024, Global convergence of optimized adaptive importance samplers, Foundations of Data Science, ISSN:2639-8001

Akyildiz OD, Sabanis S, 2024, Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization, Journal of Machine Learning Research, ISSN:1532-4435

Akyildiz OD, Crisan D, Miguez J, 2023, Sequential discretisation schemes for a class of stochastic differential equations and their application to bayesian filtering, Siam Journal on Numerical Analysis, ISSN:0036-1429

Vadeboncoeur A, Akyildiz OD, Kazlauskaite I, et al., 2023, Fully probabilistic deep models for forward and inverse problems in parametric PDEs, Journal of Computational Physics, Vol:491, ISSN:0021-9991, Pages:1-25

Elvira V, Chouzenoux É, Akyildiz OD, et al., 2023, Gradient-based adaptive importance samplers, Journal of the Franklin Institute, Vol:360, ISSN:0016-0032, Pages:9490-9514

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