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Optimal rates and non-asymptotic bounds in nonparametrics: Z. Harchaoui, A. Juditsky, A. Nemirovski, D. Ostrovskii, Adaptive Denoising of Signals with Local Shift-Invariant Structure
A. Dubois, Thomas B. Berret, C. Butucea, Goodness-of-fit testing for Hlder continuous densities under local differential privacy
G. Blanchard and J.ean-Baptiste Fermanian, Nonasymptotic signal detection and two-sample tests in high dimension
Sara van de Geer and P. Hinz, The Lasso with structured design and entropy of (absolute) convex hulls
M. Hiabu, E. Mammen and Joseph-Theo Meyer, Local linear smoothing in additive models as data projection
S. Ayvazyan and V. Ulyanov, A multivariate CLT for typical weighted sums with rate of convergence of order O(1/n)
Estimation of matrices and subspaces: F. Gtze, A. Tikhomirov, D. Timushev, Rate of convergence for sample covariance sparse matrices
M. Wahl, Van Trees inequality, group equivariance, and estimation of principal subspaces
D. Belomestny, E. Krymova, Sparse constrained projection approximation subspace tracking Nonparametric and semiparametric Bayes statistics
Natalia Bochkina: Bernstein - von Mises theorem and misspecified models: a review
M. Panov, On accuracy of Gaussian approximation in Bayesian semiparametric problems
Statistical theory motivated by applications: M. Bl ehaut, X. DHaultfuille, J er emy LHour, A. B. Tsybakov, An alternative to synthetic control for models with many covariates under sparsity
C. Breunig, X. Chen, Adaptive Estimation of Quadratic Functionals in Nonparametric Instrumental Variable Models
G. Kulaitis, A. Munk and F. Werner, A minimax testing perspective on spatial statistical resolution in microscopy
Optimisation: P. Dvurechensky, A. Gasnikov, A. Tyurin and V. Zholobov, Unifying Framework for Accelerated Randomized Methods in Convex Optimization
K. Khowaja, M. Shcherbatyy and W. Karl Hrdle. Surrogate Models for Optimization of Dynamical Systems
Interview with Vladimir Spokoiny.
A. Dubois, Thomas B. Berret, C. Butucea, Goodness-of-fit testing for Hlder continuous densities under local differential privacy
G. Blanchard and J.ean-Baptiste Fermanian, Nonasymptotic signal detection and two-sample tests in high dimension
Sara van de Geer and P. Hinz, The Lasso with structured design and entropy of (absolute) convex hulls
M. Hiabu, E. Mammen and Joseph-Theo Meyer, Local linear smoothing in additive models as data projection
S. Ayvazyan and V. Ulyanov, A multivariate CLT for typical weighted sums with rate of convergence of order O(1/n)
Estimation of matrices and subspaces: F. Gtze, A. Tikhomirov, D. Timushev, Rate of convergence for sample covariance sparse matrices
M. Wahl, Van Trees inequality, group equivariance, and estimation of principal subspaces
D. Belomestny, E. Krymova, Sparse constrained projection approximation subspace tracking Nonparametric and semiparametric Bayes statistics
Natalia Bochkina: Bernstein - von Mises theorem and misspecified models: a review
M. Panov, On accuracy of Gaussian approximation in Bayesian semiparametric problems
Statistical theory motivated by applications: M. Bl ehaut, X. DHaultfuille, J er emy LHour, A. B. Tsybakov, An alternative to synthetic control for models with many covariates under sparsity
C. Breunig, X. Chen, Adaptive Estimation of Quadratic Functionals in Nonparametric Instrumental Variable Models
G. Kulaitis, A. Munk and F. Werner, A minimax testing perspective on spatial statistical resolution in microscopy
Optimisation: P. Dvurechensky, A. Gasnikov, A. Tyurin and V. Zholobov, Unifying Framework for Accelerated Randomized Methods in Convex Optimization
K. Khowaja, M. Shcherbatyy and W. Karl Hrdle. Surrogate Models for Optimization of Dynamical Systems
Interview with Vladimir Spokoiny.