Alexandre B. Tsybakov

According to our database, Alexandre B. Tsybakov authored at least 28 papers between 1992 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design.

Arya Akhavan, Davit Gogolashvili, Alexandre B. Tsybakov

J. Mach. Learn. Res., 2024

Contextual Continuum Bandits: Static Versus Dynamic Regret.

Arya Akhavan, Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov

CoRR, 2024

2022

Improved Clustering Algorithms for the Bipartite Stochastic Block Model.

Mohamed Ndaoud, Suzanne Sigalla, Alexandre B. Tsybakov

IEEE Trans. Inf. Theory, 2022

Benign overfitting and adaptive nonparametric regression.

Julien Chhor, Suzanne Sigalla, Alexandre B. Tsybakov

CoRR, 2022

A gradient estimator via L1-randomization for online zero-order optimization with two point feedback.

Arya Akhavan, Evgenii Chzhen, Massimiliano Pontil, Alexandre B. Tsybakov

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Distributed Zero-Order Optimization under Adversarial Noise.

Arya Akhavan, Massimiliano Pontil, Alexandre B. Tsybakov

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Optimal Variable Selection and Adaptive Noisy Compressed Sensing.

Mohamed Ndaoud, Alexandre B. Tsybakov

IEEE Trans. Inf. Theory, 2020

Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits.

Arya Akhavan, Massimiliano Pontil, Alexandre B. Tsybakov

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Algorithms of Robust Stochastic Optimization Based on Mirror Descent Method.

Alexander V. Nazin, Arkadi S. Nemirovsky, Alexandre B. Tsybakov, Anatoli B. Juditsky

Autom. Remote. Control., 2019

Minimax Rate of Testing in Sparse Linear Regression.

Alexandra Carpentier, Olivier Collier, Laëtitia Comminges, Alexandre B. Tsybakov, Yuhao Wang

Autom. Remote. Control., 2019

Does data interpolation contradict statistical optimality?

Mikhail Belkin, Alexander Rakhlin, Alexandre B. Tsybakov

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2015

Estimation of matrices with row sparsity.

Olga Klopp, Alexandre B. Tsybakov

Probl. Inf. Transm., 2015

Sharp oracle bounds for monotone and convex regression through aggregation.

Pierre C. Bellec, Alexandre B. Tsybakov

J. Mach. Learn. Res., 2015

2013

Empirical Entropy, Minimax Regret and Minimax Risk.

Alexander Rakhlin, Karthik Sridharan, Alexandre B. Tsybakov

CoRR, 2013

Pivotal Estimation in High-Dimensional Regression via Linear Programming.

Eric Gautier, Alexandre B. Tsybakov

Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2012

On Walsh code assignment.

Boris S. Tsybakov, Alexandre B. Tsybakov

Probl. Inf. Transm., 2012

Sparse regression learning by aggregation and Langevin Monte-Carlo.

Arnak S. Dalalyan, Alexandre B. Tsybakov

J. Comput. Syst. Sci., 2012

2009

Taking Advantage of Sparsity in Multi-Task Learning.

Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov, Sara A. van de Geer

Proceedings of the COLT 2009, 2009

Introduction to Nonparametric Estimation.

Alexandre B. Tsybakov

Springer series in statistics, Springer, ISBN: 978-0-387-79052-7, 2009

2008

Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity.

Arnak S. Dalalyan, Alexandre B. Tsybakov

Mach. Learn., 2008

2007

Aggregation by Exponential Weighting and Sharp Oracle Inequalities.

Arnak S. Dalalyan, Alexandre B. Tsybakov

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

Sparse Density Estimation with <i>l</i>₁ Penalties.

Florentina Bunea, Alexandre B. Tsybakov, Marten H. Wegkamp

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

2006

Remark on "Recursive Aggregation of Estimators by the Mirror Descent Algorithm with Averaging" published in <i>Probl. Peredachi Inf.</i>, 2005, no. 4.

Anatoli B. Juditsky, Alexander V. Nazin, Alexandre B. Tsybakov, Nicolas Vayatis

Probl. Inf. Transm., 2006

Aggregation and Sparsity Via <i>l</i>₁ Penalized Least Squares.

Florentina Bunea, Alexandre B. Tsybakov, Marten H. Wegkamp

Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

2005

Recursive Aggregation of Estimators by the Mirror Descent Algorithm with Averaging.

Anatoli B. Juditsky, Alexander V. Nazin, Alexandre B. Tsybakov, Nicolas Vayatis

Probl. Inf. Transm., 2005

Generalization Error Bounds for Aggregation by Mirror Descent with Averaging.

Anatoli B. Juditsky, Alexander V. Nazin, Alexandre B. Tsybakov, Nicolas Vayatis

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2003

Optimal Rates of Aggregation.

Alexandre B. Tsybakov

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

1992

Optimal and robust kernel algorithms for passive stochastic approximation.

Alexander V. Nazin, Boris T. Polyak, Alexandre B. Tsybakov

IEEE Trans. Inf. Theory, 1992