Summary
I work at the intersection of computational statistics, machine learning, and generative modelling. A proper summary can be found on my webpage.
Publications
Journals
Zhang Y, Akyildiz ÖD, Damoulas T, et al., 2023, Nonasymptotic Estimates for Stochastic Gradient Langevin Dynamics Under Local Conditions in Nonconvex Optimization, Applied Mathematics & Optimization, Vol:87, ISSN:0095-4616
Akyildiz ÖD, Crisan D, Míguez J, 2020, Parallel sequential Monte Carlo for stochastic gradient-free nonconvex optimization, Statistics and Computing, Vol:30, ISSN:0960-3174, Pages:1645-1663
Akyildiz ÖD, Míguez J, 2020, Nudging the particle filter, Statistics and Computing, Vol:30, ISSN:0960-3174, Pages:305-330