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Collaborations and top research areas from the last five years
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Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
Aouali, I., Brunel, V. E., Rohde, D. & Korba, A., 1 Jan 2025, In: Proceedings of Machine Learning Research. 258, p. 136-144 9 p.Research output: Contribution to journal › Conference article › peer-review
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DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
Geuter, J., Bonet, C., Korba, A. & Alvarez-Melis, D., 1 Jan 2025, In: Proceedings of Machine Learning Research. 258, p. 3988-3996 9 p.Research output: Contribution to journal › Conference article › peer-review
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Density Ratio Estimation with Conditional Probability Paths
Yu, H., Klami, A., Hyvärinen, A., Korba, A. & Chehab, O., 1 Jan 2025, In: Proceedings of Machine Learning Research. 267, p. 73146-73174 29 p.Research output: Contribution to journal › Conference article › peer-review
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Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
Bonet, C., Vauthier, C. & Korba, A., 1 Jan 2025, In: Proceedings of Machine Learning Research. 267, p. 4911-4967 57 p.Research output: Contribution to journal › Conference article › peer-review
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Implicit Diffusion: Efficient optimization through stochastic sampling
Marion, P., Korba, A., Bartlett, P., Blondel, M., De Bortoli, V., Doucet, A., Llinares-Lopez, F., Paquette, C. & Berthet, Q., 1 Jan 2025, In: Proceedings of Machine Learning Research. 258, p. 1999-2007 9 p.Research output: Contribution to journal › Conference article › peer-review
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PROVABLE CONVERGENCE AND LIMITATIONS OF GEOMETRIC TEMPERING FOR LANGEVIN DYNAMICS
Chehab, O., Korba, A., Stromme, A. & Vacher, A., 1 Jan 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 30515-30557 43 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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Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis
Vauthier, C., Korba, A. & Mérigot, Q., 1 Jan 2025, In: Proceedings of Machine Learning Research. 267, p. 61071-61107 37 p.Research output: Contribution to journal › Conference article › peer-review
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A Connection between Tempering and Entropic Mirror Descent
Chopin, N., Crucinio, F. & Korba, A., 1 Jan 2024, In: Proceedings of Machine Learning Research. 235, p. 8782-8800 19 p.Research output: Contribution to journal › Conference article › peer-review
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Constrained Sampling with Primal-Dual Langevin Monte Carlo
Chamon, L. F. O., Karimi, M. R. & Korba, A., 1 Jan 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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Mirror and Preconditioned Gradient Descent in Wasserstein Space
Bonet, C., Uscidda, T., David, A., Aubin-Frankowski, P. C. & Korba, A., 1 Jan 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review