Follow
O. Deniz Akyildiz
O. Deniz Akyildiz
Other namesDeniz Akyildiz, Ömer Deniz Akyildiz, Ömer Deniz Akyıldız
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization
Y Zhang, ÖD Akyildiz, T Damoulas, S Sabanis
Applied Mathematics & Optimization 87 (2), 1-41, 2023
542023
VarGrad: a low-variance gradient estimator for variational inference
L Richter, A Boustati, N Nüsken, FJR Ruiz, ÖD Akyildiz
Advances in Neural Information Processing Systems 33, 2020
362020
Nudging the particle filter
ÖD Akyildiz, J Míguez
Statistics and Computing 30, 305-330, 2020
352020
Convergence rates for optimised adaptive importance samplers
ÖD Akyildiz, J Míguez
Statistics and Computing 31, 1-17, 2021
342021
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization
OD Akyildiz, S Sabanis
Journal of Machine Learning Research 25 (113), 1-34, 2024
22*2024
Generalized Bayesian Filtering via Sequential Monte Carlo
A Boustati, ÖD Akyildiz, T Damoulas, AM Johansen
Advances in Neural Information Processing Systems 33, 2020
212020
Primal-dual algorithms for audio decomposition using mixed norms
I Bayram, ÖD Akyıldız
Signal, Image and Video Processing 8 (1), 95-110, 2014
212014
Fully probabilistic deep models for forward and inverse problems in parametric PDEs
A Vadeboncoeur, ÖD Akyildiz, I Kazlauskaite, M Girolami, F Cirak
Journal of Computational Physics 491, 112369, 2023
152023
Tweedie moment projected diffusions for inverse problems
B Boys, M Girolami, J Pidstrigach, S Reich, A Mosca, OD Akyildiz
arXiv preprint arXiv:2310.06721, 2023
112023
Statistical finite elements via Langevin dynamics
ÖD Akyildiz, C Duffin, S Sabanis, M Girolami
SIAM/ASA Journal on Uncertainty Quantification 10 (4), 1560-1585, 2022
112022
Random grid neural processes for parametric partial differential equations
A Vadeboncoeur, I Kazlauskaite, Y Papandreou, F Cirak, M Girolami, ...
International Conference on Machine Learning, 34759-34778, 2023
92023
Interacting particle langevin algorithm for maximum marginal likelihood estimation
ÖD Akyildiz, FR Crucinio, M Girolami, T Johnston, S Sabanis
arXiv preprint arXiv:2303.13429, 2023
82023
The incremental proximal method: A probabilistic perspective
ÖD Akyildiz, V Elvira, J Míguez
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
82018
Adaptive noisy importance sampling for stochastic optimization
OD Akyildiz, IP Marino, J Míguez
2017 IEEE 7th international workshop on computational advances in multi …, 2017
82017
Global convergence of optimized adaptive importance samplers
ÖD Akyildiz
Foundations of Data Science (FoDS), 2024
72024
Parallel sequential Monte Carlo for stochastic gradient-free nonconvex optimization
ÖD Akyildiz, D Crisan, J Míguez
Statistics and computing 30 (6), 1645-1663, 2020
7*2020
A probabilistic incremental proximal gradient method
ÖD Akyildiz, E Chouzenoux, V Elvira, J Míguez
IEEE Signal Processing Letters 26 (8), 1257-1261, 2019
72019
Gradient-based adaptive importance samplers
V Elvira, E Chouzenoux, ÖD Akyildiz, L Martino
Journal of the Franklin Institute 360 (13), 9490-9514, 2023
62023
A probabilistic interpretation of replicator-mutator dynamics
ÖD Akyıldız
arXiv preprint arXiv:1712.07879, 2017
52017
Sequential discretization schemes for a class of stochastic differential equations and their application to Bayesian filtering
ÖD Akyildiz, D Crisan, J Miguez
SIAM Journal on Numerical Analysis 62 (2), 946-973, 2024
3*2024
The system can't perform the operation now. Try again later.
Articles 1–20