Optimal and robust kernel algorithms for passive stochastic approximation. - Alexander V. Nazin; Boris T. Polyak; Alexandre B. Tsybakov (IEEE Trans. Inf. Theory, 1992)

Optimal Rates of Aggregation. - Alexandre B. Tsybakov (COLT, 2003)

Generalization Error Bounds for Aggregation by Mirror Descent with Averaging. - Anatoli B. Juditsky; Alexander V. Nazin; Alexandre B. Tsybakov; Nicolas Vayatis (NIPS, 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)

Aggregation and Sparsity Via l1 Penalized Least Squares. - Florentina Bunea; Alexandre B. Tsybakov; Marten H. Wegkamp (COLT, 2006)

Remark on "Recursive Aggregation of Estimators by the Mirror Descent Algorithm with Averaging" published in Probl. Peredachi Inf., 2005, no. 4. - Anatoli B. Juditsky; Alexander V. Nazin; Alexandre B. Tsybakov; Nicolas Vayatis (Probl. Inf. Transm., 2006)

Sparse Density Estimation with l1 Penalties. - Florentina Bunea; Alexandre B. Tsybakov; Marten H. Wegkamp (COLT, 2007)

Aggregation by Exponential Weighting and Sharp Oracle Inequalities. - Arnak S. Dalalyan; Alexandre B. Tsybakov (COLT, 2007)

Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity. - Arnak S. Dalalyan; Alexandre B. Tsybakov (Mach. Learn., 2008)

Introduction to Nonparametric Estimation. - Alexandre B. Tsybakov (Springer, 2009)

Taking Advantage of Sparsity in Multi-Task Learning. - Karim Lounici; Massimiliano Pontil; Alexandre B. Tsybakov; Sara A. van de Geer (COLT, 2009)

Sparse regression learning by aggregation and Langevin Monte-Carlo. - Arnak S. Dalalyan; Alexandre B. Tsybakov (J. Comput. Syst. Sci., 2012)

On Walsh code assignment. - Boris S. Tsybakov; Alexandre B. Tsybakov (Probl. Inf. Transm., 2012)

Pivotal Estimation in High-Dimensional Regression via Linear Programming. - Eric Gautier; Alexandre B. Tsybakov (Empirical Inference, 2013)

Empirical Entropy, Minimax Regret and Minimax Risk. - Alexander Rakhlin; Karthik Sridharan; Alexandre B. Tsybakov (CoRR, 2013)

Sharp oracle bounds for monotone and convex regression through aggregation. - Pierre C. Bellec; Alexandre B. Tsybakov (J. Mach. Learn. Res., 2015)

Estimation of matrices with row sparsity. - Olga Klopp; Alexandre B. Tsybakov (Probl. Inf. Transm., 2015)

Does data interpolation contradict statistical optimality? - Mikhail Belkin; Alexander Rakhlin; Alexandre B. Tsybakov (AISTATS, 2019)

Minimax Rate of Testing in Sparse Linear Regression. - Alexandra Carpentier; Olivier Collier; Laëtitia Comminges; Alexandre B. Tsybakov; Yuhao Wang 005 (Autom. Remote. Control., 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)

Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits. - Arya Akhavan; Massimiliano Pontil; Alexandre B. Tsybakov (NeurIPS, 2020)

Optimal Variable Selection and Adaptive Noisy Compressed Sensing. - Mohamed Ndaoud; Alexandre B. Tsybakov (IEEE Trans. Inf. Theory, 2020)

Distributed Zero-Order Optimization under Adversarial Noise. - Arya Akhavan; Massimiliano Pontil; Alexandre B. Tsybakov (NeurIPS, 2021)

A gradient estimator via L1-randomization for online zero-order optimization with two point feedback. - Arya Akhavan; Evgenii Chzhen; Massimiliano Pontil; Alexandre B. Tsybakov (NeurIPS, 2022)

Benign overfitting and adaptive nonparametric regression. - Julien Chhor; Suzanne Sigalla; Alexandre B. Tsybakov (CoRR, 2022)

Improved Clustering Algorithms for the Bipartite Stochastic Block Model. - Mohamed Ndaoud; Suzanne Sigalla; Alexandre B. Tsybakov (IEEE Trans. Inf. Theory, 2022)

Contextual Continuum Bandits: Static Versus Dynamic Regret. - Arya Akhavan; Karim Lounici; Massimiliano Pontil; Alexandre B. Tsybakov (CoRR, 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)

Gradient-free stochastic optimization for additive models. - Arya Akhavan; Alexandre B. Tsybakov (CoRR, 2025)