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Research interests
Engineering and Technology
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Dive into the research topics where Victor-Emmanuel Brunel is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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A generalization of Grünbaum's inequality in RCD(0,N)-spaces
Brunel, V. E., Ohta, S. I. & Serres, J., 1 Jan 2026, In: Journal of Functional Analysis. 290, 1, 111210.Research output: Contribution to journal › Article › peer-review
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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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Concentration of empirical barycenters in metric spaces
Brunel, V. E. & Serres, J., 1 Jan 2024, In: Proceedings of Machine Learning Research. 237, p. 337-361 25 p.Research output: Contribution to journal › Conference article › peer-review
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Recovering a magnitude-symmetric matrix from its principal minors
Brunel, V. E. & Urschel, J., 15 Dec 2024, In: Linear Algebra and Its Applications. 703, p. 232-267 36 p.Research output: Contribution to journal › Article › peer-review
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Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling
Aouali, I., Brunel, V. E., Rohde, D. & Korba, A., 1 Jan 2024, In: Proceedings of Machine Learning Research. 244, p. 88-109 22 p.Research output: Contribution to journal › Conference article › peer-review
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Exponential Smoothing for Off-Policy Learning
Aouali, I., Brunel, V. E., Rohde, D. & Korba, A., 1 Jan 2023, In: Proceedings of Machine Learning Research. 202, p. 984-1017 34 p.Research output: Contribution to journal › Conference article › peer-review
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Geodesically convex M-estimation in metric spaces
Brunel, V. E., 1 Jan 2023, In: Proceedings of Machine Learning Research. 195, p. 2188-2210 23 p.Research output: Contribution to journal › Conference article › peer-review
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Estimation of convex supports from noisy measurements
Brunel, V. E., Klusowski, J. M. & Yang, D., 1 May 2021, In: Bernoulli. 27, 2, p. 772-793 22 p.Research output: Contribution to journal › Article › peer-review
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SCALABLE LEARNING AND MAP INFERENCE FOR NONSYMMETRIC DETERMINANTAL POINT PROCESSES
Gartrell, M., Han, I., Dohmatob, E., Gillenwater, J. & Brunel, V. E., 1 Jan 2021.Research output: Contribution to conference › Paper › peer-review
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Statistical guarantees for generative models without domination
Schreuder, N., Brunel, V. E. & Dalalyan, A. S., 1 Jan 2021, In: Proceedings of Machine Learning Research. 132, p. 1051-1071 21 p.Research output: Contribution to journal › Conference article › peer-review