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Disambiguation of "Durmus, Alain"

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Differentially Private Representation Learning via Image Captioning.

, , , , , , and . CoRR, (2024)

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Tahir Durmus

Gülhis Durmus

Durmus Ünlü

Atila Durmus

Alain Schifferli

 

Other publications of authors with the same name

A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging Inverse Problems: When Langevin Meets Moreau., , and . SIAM Rev., 64 (4): 991-1028 (2022)On the geometric convergence for MALA under verifiable conditions., and . CoRR, (2022)Boost your favorite Markov Chain Monte Carlo sampler using Kac's theorem: the Kick-Kac teleportation algorithm., , , and . CoRR, (2022)Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent., , and . CoRR, (2023)Convergence rates and approximation results for SGD and its continuous-time counterpart., , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 1965-2058. PMLR, (2021)On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning., , , , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 1711-1752. PMLR, (2021)Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach Part I: Methodology and Experiments., , , and . SIAM J. Imaging Sci., 13 (4): 1945-1989 (2020)FedPop: A Bayesian Approach for Personalised Federated Learning., , , and . NeurIPS, (2022)Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte Carlo., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 8749-8770. PMLR, (2023)Analysis of Langevin Monte Carlo via Convex Optimization., , and . J. Mach. Learn. Res., (2019)