Alexandre B. Tsybakov

35 papers A* 9A 1Journal 22Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Generalized multi-view model: Adaptive density estimation under low-rank constraints.
J. Mach. Learn. Res.
Julien Chhor, Olga Klopp, Alexandre B. Tsybakov
2025 J jnl
Gradient-free stochastic optimization for additive models.
CoRR
Arya Akhavan, Alexandre B. Tsybakov
2024 J jnl
Contextual Continuum Bandits: Static Versus Dynamic Regret.
CoRR
Arya Akhavan, Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov
2024 J jnl
Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design.
J. Mach. Learn. Res.
Arya Akhavan, Davit Gogolashvili, Alexandre B. Tsybakov
2024 J jnl
Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm.
J. Mach. Learn. Res.
Arya Akhavan, Evgenii Chzhen, Massimiliano Pontil, Alexandre B. Tsybakov
2022 A* conf
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback.
NeurIPS
Arya Akhavan, Evgenii Chzhen, Massimiliano Pontil, Alexandre B. Tsybakov
2022 J jnl
Benign overfitting and adaptive nonparametric regression.
CoRR
Julien Chhor, Suzanne Sigalla, Alexandre B. Tsybakov
2022 J jnl
Improved Clustering Algorithms for the Bipartite Stochastic Block Model.
IEEE Trans. Inf. Theory
Mohamed Ndaoud, Suzanne Sigalla, Alexandre B. Tsybakov
2021 A* conf
Distributed Zero-Order Optimization under Adversarial Noise.
NeurIPS
Arya Akhavan, Massimiliano Pontil, Alexandre B. Tsybakov
2020 A* conf
Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits.
NeurIPS
Arya Akhavan, Massimiliano Pontil, Alexandre B. Tsybakov
2020 J jnl
Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits.
CoRR
Arya Akhavan, Massimiliano Pontil, Alexandre B. Tsybakov
2020 J jnl
Optimal Variable Selection and Adaptive Noisy Compressed Sensing.
IEEE Trans. Inf. Theory
Mohamed Ndaoud, Alexandre B. Tsybakov
2019 J jnl
Algorithms of Robust Stochastic Optimization Based on Mirror Descent Method.
Autom. Remote. Control.
Alexander V. Nazin, Arkadi S. Nemirovsky, Alexandre B. Tsybakov, Anatoli B. Juditsky
2019 A conf
Does data interpolation contradict statistical optimality?
AISTATS
Mikhail Belkin, Alexander Rakhlin, Alexandre B. Tsybakov
2019 J jnl
Minimax Rate of Testing in Sparse Linear Regression.
Autom. Remote. Control.
Alexandra Carpentier, Olivier Collier, Laëtitia Comminges, Alexandre B. Tsybakov, Yuhao Wang
2018 J jnl
Does data interpolation contradict statistical optimality?
CoRR
Mikhail Belkin, Alexander Rakhlin, Alexandre B. Tsybakov
2015 J jnl
Estimation of matrices with row sparsity.
Probl. Inf. Transm.
Olga Klopp, Alexandre B. Tsybakov
2015 J jnl
Sharp oracle bounds for monotone and convex regression through aggregation.
J. Mach. Learn. Res.
Pierre C. Bellec, Alexandre B. Tsybakov
2013 J jnl
Empirical Entropy, Minimax Regret and Minimax Risk.
CoRR
Alexander Rakhlin, Karthik Sridharan, Alexandre B. Tsybakov
2013 — conf
Pivotal Estimation in High-Dimensional Regression via Linear Programming.
Empirical Inference
Eric Gautier, Alexandre B. Tsybakov
2012 J jnl
On Walsh code assignment
CoRR
Boris S. Tsybakov, Alexandre B. Tsybakov
2012 J jnl
On Walsh code assignment.
Probl. Inf. Transm.
Boris S. Tsybakov, Alexandre B. Tsybakov
2012 J jnl
Sparse regression learning by aggregation and Langevin Monte-Carlo.
J. Comput. Syst. Sci.
Arnak S. Dalalyan, Alexandre B. Tsybakov
2009 — book
Introduction to Nonparametric Estimation.
Alexandre B. Tsybakov
2009 A* conf
Sparse Regression Learning by Aggregation and Langevin Monte-Carlo.
COLT
Arnak S. Dalalyan, Alexandre B. Tsybakov
2009 A* conf
Taking Advantage of Sparsity in Multi-Task Learning.
COLT
Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov, Sara A. van de Geer
2008 J jnl
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity.
Mach. Learn.
Arnak S. Dalalyan, Alexandre B. Tsybakov
2007 A* conf
Aggregation by Exponential Weighting and Sharp Oracle Inequalities.
COLT
Arnak S. Dalalyan, Alexandre B. Tsybakov
2007 A* conf
Sparse Density Estimation with
COLT
Florentina Bunea, Alexandre B. Tsybakov, Marten H. Wegkamp
2006 A* conf
Aggregation and Sparsity Via
COLT
Florentina Bunea, Alexandre B. Tsybakov, Marten H. Wegkamp
2006 J jnl
Remark on "Recursive Aggregation of Estimators by the Mirror Descent Algorithm with Averaging" published in
Probl. Inf. Transm.
Anatoli B. Juditsky, Alexander V. Nazin, Alexandre B. Tsybakov, Nicolas Vayatis
2005 — conf
Generalization Error Bounds for Aggregation by Mirror Descent with Averaging.
NIPS
Anatoli B. Juditsky, Alexander V. Nazin, Alexandre B. Tsybakov, Nicolas Vayatis
2005 J jnl
Recursive Aggregation of Estimators by the Mirror Descent Algorithm with Averaging.
Probl. Inf. Transm.
Anatoli B. Juditsky, Alexander V. Nazin, Alexandre B. Tsybakov, Nicolas Vayatis
2003 A* conf
Optimal Rates of Aggregation.
COLT
Alexandre B. Tsybakov
1992 J jnl
Optimal and robust kernel algorithms for passive stochastic approximation.
IEEE Trans. Inf. Theory
Alexander V. Nazin, Boris T. Polyak, Alexandre B. Tsybakov