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Deniz Akyildiz
Deniz Akyildiz
Other namesÖ. Deniz Akyildiz, Ömer Deniz Akyildiz
Department of Mathematics, Imperial College London
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
28*2023
Convergence rates for optimised adaptive importance samplers
ÖD Akyildiz, J Míguez
Statistics and Computing 31, 1-17, 2021
252021
Nudging the particle filter
ÖD Akyildiz, J Míguez
Statistics and Computing 30, 305-330, 2020
232020
Primal-dual algorithms for audio decomposition using mixed norms
I Bayram, ÖD Akyıldız
Signal, Image and Video Processing 8 (1), 95-110, 2014
192014
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization
ÖD Akyildiz, S Sabanis
arXiv preprint arXiv:2002.05465, 2020
152020
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
132020
Generalized Bayesian Filtering via Sequential Monte Carlo
A Boustati, ÖD Akyildiz, T Damoulas, AM Johansen
Advances in Neural Information Processing Systems 33, 2020
132020
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
62017
Parallel sequential Monte Carlo for stochastic gradient-free nonconvex optimization
ÖD Akyildiz, D Crisan, J Míguez
Statistics and Computing 30, 1645-1663, 2020
5*2020
Global convergence of optimized adaptive importance samplers
ÖD Akyildiz
arXiv preprint arXiv:2201.00409, 2022
42022
A probabilistic incremental proximal gradient method
ÖD Akyildiz, E Chouzenoux, V Elvira, J Míguez
IEEE Signal Processing Letters 26 (8), 1257-1261, 2019
42019
A probabilistic interpretation of replicator-mutator dynamics
ÖD Akyıldız
arXiv preprint arXiv:1712.07879, 2017
4*2017
Deep probabilistic models for forward and inverse problems in parametric PDEs
A Vadeboncoeur, ÖD Akyildiz, I Kazlauskaite, M Girolami, F Cirak
arXiv preprint arXiv:2208.04856, 2022
32022
Online matrix factorization via Broyden updates
ÖD Akyıldız
arXiv preprint arXiv:1506.04389, 2015
32015
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
22022
Dictionary filtering: a probabilistic approach to online matrix factorisation
ÖD Akyildiz, J Míguez
Signal, Image and Video Processing 13, 737-744, 2019
22019
-DVAE: Learning Physically Interpretable Representations with Nonlinear Filtering
A Glyn-Davies, C Duffin, ÖD Akyildiz, M Girolami
arXiv preprint arXiv:2209.15609, 2022
12022
Space-sequential particle filters for high-dimensional dynamical systems described by stochastic differential equations
D Akyildiz, D Crisan, J Miguez
arXiv preprint arXiv:2204.07680, 2022
12022
Probabilistic sequential matrix factorization
OD Akyildiz, G van den Burg, T Damoulas, M Steel
International Conference on Artificial Intelligence and Statistics, 3484-3492, 2021
12021
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Articles 1–20