| 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 | 50 | 2023 |
| Convergence rates for optimised adaptive importance samplers ÖD Akyildiz, J Míguez Statistics and Computing 31, 1-17, 2021 | 35 | 2021 |
| 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 | 33 | 2020 |
| Nudging the particle filter ÖD Akyildiz, J Míguez Statistics and Computing 30, 305-330, 2020 | 31 | 2020 |
| Generalized Bayesian Filtering via Sequential Monte Carlo A Boustati, ÖD Akyildiz, T Damoulas, AM Johansen Advances in Neural Information Processing Systems 33, 2020 | 21 | 2020 |
| Primal-dual algorithms for audio decomposition using mixed norms I Bayram, ÖD Akyıldız Signal, Image and Video Processing 8 (1), 95-110, 2014 | 21 | 2014 |
| 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 | 19 | 2024 |
| 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 | 11 | 2023 |
| 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 | 10 | 2023 |
| 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 | 9 | 2022 |
| The incremental proximal method: A probabilistic perspective ÖD Akyildiz, V Elvira, J Míguez 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 8 | 2018 |
| Adaptive noisy importance sampling for stochastic optimization OD Akyildiz, IP Marino, J Míguez 2017 IEEE 7th international workshop on computational advances in multi …, 2017 | 8 | 2017 |
| Global convergence of optimized adaptive importance samplers ÖD Akyildiz arXiv preprint arXiv:2201.00409, 2022 | 7 | 2022 |
| A probabilistic incremental proximal gradient method ÖD Akyildiz, E Chouzenoux, V Elvira, J Míguez IEEE Signal Processing Letters 26 (8), 1257-1261, 2019 | 7 | 2019 |
| Gradient-based adaptive importance samplers V Elvira, E Chouzenoux, ÖD Akyildiz, L Martino Journal of the Franklin Institute 360 (13), 9490-9514, 2023 | 6 | 2023 |
| 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 | 6 | 2023 |
| Parallel sequential Monte Carlo for stochastic gradient-free nonconvex optimization ÖD Akyildiz, D Crisan, J Míguez Statistics and computing 30 (6), 1645-1663, 2020 | 6* | 2020 |
| A probabilistic interpretation of replicator-mutator dynamics ÖD Akyıldız arXiv preprint arXiv:1712.07879, 2017 | 5 | 2017 |
| 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 | 4 | 2023 |
| 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 |
Joaquin MiguezDepartment of Signal Theory & Communications, Universidad Carlos III de Madrid在 tsc.uc3m.es 的电子邮件经过验证
