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Engineering and Technology
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Dive into the research topics where Alexandre Tsybakov 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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Benign overfitting and adaptive nonparametric regression
Chhor, J., Sigalla, S. & Tsybakov, A. B., 1 Aug 2024, In: Probability Theory and Related Fields. 189, 3-4, p. 949-980 32 p.Research output: Contribution to journal › Article › peer-review
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Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design
Akhavan, A., Gogolashvili, D. & Tsybakov, A. B., 1 Jan 2024, In: Journal of Machine Learning Research. 25Research output: Contribution to journal › Article › peer-review
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Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm
Akhavan, A., Chzhen, E., Pontil, M. & Tsybakov, A. B., 1 Jan 2024, In: Journal of Machine Learning Research. 25Research output: Contribution to journal › Article › peer-review
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An Alternative to Synthetic Control for Models with Many Covariates Under Sparsity
Bléhaut, M., D’Haultfœuille, X., L’Hour, J. & Tsybakov, A. B., 1 Jan 2023, Foundations of Modern Statistics - Festschrift in Honor of Vladimir Spokoiny. Belomestny, D., Butucea, C., Mammen, E., Moulines, E., Reiß, M. & Ulyanov, V. V. (eds.). Springer, p. 417-458 42 p. (Springer Proceedings in Mathematics and Statistics; vol. 425).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
ASSIGNING TOPICS TO DOCUMENTS BY SUCCESSIVE PROJECTIONS
Klopp, O., Panov, M., Sigalla, S. & Tsybakov, A. B., 1 Oct 2023, In: Annals of Statistics. 51, 5, p. 1989-2014 26 p.Research output: Contribution to journal › Article › peer-review
Open Access -
VARIABLE SELECTION, MONOTONE LIKELIHOOD RATIO AND GROUP SPARSITY
Butucea, C., Mammen, E., Ndaoud, M. & Tsybakov, A. B., 1 Feb 2023, In: Annals of Statistics. 51, 1, p. 312-333 22 p.Research output: Contribution to journal › Article › peer-review
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A gradient estimator via L1-randomization for online zero-order optimization with two point feedback
Akhavan, A., Chzhen, E., Pontil, M. & Tsybakov, A. B., 1 Jan 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Estimation of the ℓ2-norm and testing in sparse linear regression with unknown variance
Carpentier, A., Collier, O., Comminges, L., Tsybakov, A. B. & Wang, Y., 1 Nov 2022, In: Bernoulli. 28, 4, p. 2788-2787 2 p.Research output: Contribution to journal › Article › peer-review
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Improved Clustering Algorithms for the Bipartite Stochastic Block Model
Ndaoud, M., Sigalla, S. & Tsybakov, A. B., 1 Mar 2022, In: IEEE Transactions on Information Theory. 68, 3, p. 1960-1975 16 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Adaptive robust estimation in sparse vector model
Comminges, B. L., Collier, O., Ndaoud, M. & Tsybakov, A. A. B., 1 Jun 2021, In: Annals of Statistics. 49, 3, p. 1347-1377 31 p.Research output: Contribution to journal › Article › peer-review
Open Access