Mathematical Statistics and Learning - Author Index

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Abbe, Emmanuel
Group synchronization on grids
Abraham, Kweku
On statistical Calderón problems
Addario-Berry, Louigi
The algorithmic hardness threshold for continuous random energy models
Bandeira, Afonso S.
Optimal rates of estimation for multi-reference alignment
Ben-Hamou, Anna
Estimating graph parameters with random walks
Bet, Gianmarco
Detecting a botnet in a network
Blanchard, Gilles
Compressive statistical learning with random feature moments

Statistical learning guarantees for compressive clustering and compressive mixture modeling
Bogerd, Kay
Detecting a botnet in a network
Boumezoued, Alexandre
Nonparametric adaptive inference of birth and death models in a large population limit
Bruna, Joan
Multiscale sparse microcanonical models
Bubeck, Sébastien
Exploratory distributions for convex functions
Castro, Rui M.
Detecting a botnet in a network
Cesari, Tommaso R.
A nearest neighbor characterization of Lebesgue points in metric measure spaces
Colomboni, Roberto
A nearest neighbor characterization of Lebesgue points in metric measure spaces
Dalalyan, Arnak S.
Optimal Kullback–Leibler aggregation in mixture density estimation by maximum likelihood
De Castro, Yohann
Adaptive estimation of nonparametric geometric graphs
Eldan, Ronen
Exploratory distributions for convex functions
Giraud, Christophe
Partial recovery bounds for clustering with the relaxed $K$-means
Gribonval, Rémi
Compressive statistical learning with random feature moments

Statistical learning guarantees for compressive clustering and compressive mixture modeling
Hoffmann, Marc
Nonparametric adaptive inference of birth and death models in a large population limit
Holden, Nina
Subpolynomial trace reconstruction for random strings and arbitrary deletion probability
Jeunesse, Paulien
Nonparametric adaptive inference of birth and death models in a large population limit
Juditsky, Anatoli
Near-optimality of linear recovery from indirect observations
Keriven, Nicolas
Compressive statistical learning with random feature moments

Statistical learning guarantees for compressive clustering and compressive mixture modeling
Lacour, Claire
Adaptive estimation of nonparametric geometric graphs
Lattimore, Tor
Improved regret for zeroth-order adversarial bandit convex optimisation
Lepski, Oleg V.
Structural adaptation in the density model
Liu, Jingbo
Second-order converses via reverse hypercontractivity
Maillard, Pascal
The algorithmic hardness threshold for continuous random energy models
Mallat, Stéphane
Multiscale sparse microcanonical models
Massoulié, Laurent
Group synchronization on grids
Montanari, Andrea
Group synchronization on grids
Mourtada, Jaouad
Distribution-free robust linear regression
Nemirovski, Arkadi
Near-optimality of linear recovery from indirect observations
Nickl, Richard
On statistical Calderón problems
Niles-Weed, Jonathan
Optimal rates of estimation for multi-reference alignment
Oliveira, Roberto I.
Estimating graph parameters with random walks
Ortelli, Francesco
Tensor denoising with trend filtering
Pemantle, Robin
Subpolynomial trace reconstruction for random strings and arbitrary deletion probability
Peres, Yuval
Subpolynomial trace reconstruction for random strings and arbitrary deletion probability

Estimating graph parameters with random walks
Pham Ngoc, Thanh Mai
Adaptive estimation of nonparametric geometric graphs
Polyanskiy, Yury
Application of the information-percolation method to reconstruction problems on graphs
Ray, Kolyan
The Le Cam distance between density estimation, Poisson processes and Gaussian white noise
Rebelles, Gilles
Structural adaptation in the density model
Reeves, Galen
The all-or-nothing phenomenon in sparse linear regression
Rigollet, Philippe
Optimal rates of estimation for multi-reference alignment
Schmidt-Hieber, Johannes
The Le Cam distance between density estimation, Poisson processes and Gaussian white noise
Sebbar, Mehdi
Optimal Kullback–Leibler aggregation in mixture density estimation by maximum likelihood
Sly, Allan
Group synchronization on grids
Srivastava, Nikhil
Group synchronization on grids
Traonmilin, Yann
Compressive statistical learning with random feature moments

Statistical learning guarantees for compressive clustering and compressive mixture modeling
van de Geer, Sara
Tensor denoising with trend filtering
van der Hofstad, Remco
Detecting a botnet in a network
van Handel, Ramon
Second-order converses via reverse hypercontractivity
Vaškevičius, Tomas
Distribution-free robust linear regression
Verdú, Sergio
Second-order converses via reverse hypercontractivity
Verzelen, Nicolas
Partial recovery bounds for clustering with the relaxed $K$-means
Wein, Alexander S.
Optimal low-degree hardness of maximum independent set
Wu, Yihong
Application of the information-percolation method to reconstruction problems on graphs

Sample complexity of the distinct elements problem
Xu, Jiaming
The all-or-nothing phenomenon in sparse linear regression
Yang, Pengkun
Sample complexity of the distinct elements problem
Zadik, Ilias
The all-or-nothing phenomenon in sparse linear regression
Zhai, Alex
Subpolynomial trace reconstruction for random strings and arbitrary deletion probability
Zhivotovskiy, Nikita
Distribution-free robust linear regression