Research output per year
Research output per year
Personal profile
Personal profile
Randal Douc is a French actor and mathematician, born on August 23, 1971 in Phnom Penh, Cambodia.
Lecturer-researcher in applied mathematics at the Ecole Polytechnique, then at Télécom SudParis, Randal Douc has also established himself in the film industry.
Research interests
Computational Statistics, Applied Probability, Machine Learning.
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Collaborations and top research areas from the last five years
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VARIATIONAL DIFFUSION POSTERIOR SAMPLING WITH MIDPOINT GUIDANCE
Moufad, B., Janati, Y., Bedin, L., Durmus, A., Douc, R., Moulines, E. & Olsson, J., 1 Jan 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 10958-11002 45 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families
Bertholom, F., Douc, R. & Roueff, F., 1 Jan 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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The importance Markov chain
Andral, C., Douc, R., Marival, H. & Robert, C. P., 1 May 2024, In: Stochastic Processes and their Applications. 171, 104316.Research output: Contribution to journal › Article › peer-review
Open Access -
Monotonic Alpha-divergence Minimisation for Variational Inference
Daudel, K., Douc, R. & Roueff, F., 1 Jan 2023, In: Journal of Machine Learning Research. 24Research output: Contribution to journal › Article › peer-review
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A global stochastic optimization particle filter algorithm
Gerber, M. & Douc, R., 1 Dec 2022, In: Biometrika. 109, 4, p. 937-955 19 p.Research output: Contribution to journal › Article › peer-review
Open Access -
General-order observation-driven models: Ergodicity and consistency of the maximum likelihood estimator
Sim, T., Douc, R. & Roueff, F., 1 Jan 2021, In: Electronic Journal of Statistics. 15, 1, p. 3349-3393 45 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Infinite-dimensional gradient-based descent for alpha-divergence minimisation
Daudel, K., Douc, R. & Portier, F., 1 Aug 2021, In: Annals of Statistics. 49, 4, p. 2250-2270 21 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Mixture weights optimisation for Alpha-Divergence Variational Inference
Daudel, K. & Douc, R., 1 Jan 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 4397-4408 12 p. (Advances in Neural Information Processing Systems; vol. 6).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Necessary and sufficient conditions for the identifiability of observation-driven models
Douc, R., Roueff, F. & Sim, T., 1 Mar 2021, In: Journal of Time Series Analysis. 42, 2, p. 140-160 21 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Posterior consistency for partially observed Markov models
Douc, R., Olsson, J. & Roueff, F., 1 Feb 2020, In: Stochastic Processes and their Applications. 130, 2, p. 733-759 27 p.Research output: Contribution to journal › Article › peer-review
Open Access