# Alexandra Carpentier

#107,996

Most Influential Person Now

French mathematical statistician

## Alexandra Carpentier's AcademicInfluence.com Rankings

Alexandra Carpentiermathematics Degrees

Mathematics

#7135

World Rank

#9761

Historical Rank

Statistics

#1068

World Rank

#1171

Historical Rank

Measure Theory

#4860

World Rank

#5693

Historical Rank

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Mathematics

## Why Is Alexandra Carpentier Influential?

(Suggest an Edit or Addition)According to Wikipedia, Alexandra Carpentier is a French mathematical statistician and machine learning researcher known for her work in stochastic optimization, compressed sensing, and multi-armed bandit problems. She works in Germany as a professor at Otto von Guericke University Magdeburg and head of the Mathematical Statistics & Machine Learning research group.

## Alexandra Carpentier's Published Works

### Published Works

- An optimal algorithm for the Thresholding Bandit Problem (2016) (104)
- Tight (Lower) Bounds for the Fixed Budget Best Arm Identification Bandit Problem (2016) (102)
- Stochastic Simultaneous Optimistic Optimization (2013) (98)
- Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit (2012) (94)
- Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed Bandits (2011) (72)
- Simple regret for infinitely many armed bandits (2015) (71)
- Adaptivity to Smoothness in X-armed bandits (2018) (44)
- Two-sample hypothesis testing for inhomogeneous random graphs (2017) (41)
- Extreme bandits (2014) (40)
- Linear bandits with Stochastic Delayed Feedback (2018) (38)
- Revealing Graph Bandits for Maximizing Local Influence (2016) (38)
- Rotting bandits are no harder than stochastic ones (2018) (36)
- Two-Sample Tests for Large Random Graphs Using Network Statistics (2017) (33)
- Adaptivity to Noise Parameters in Nonparametric Active Learning (2017) (25)
- Adaptive estimation of the sparsity in the Gaussian vector model (2017) (25)
- Finite Time Analysis of Stratified Sampling for Monte Carlo (2011) (25)
- Stochastic bandits with arm-dependent delays (2020) (23)
- Minimax Rate of Testing in Sparse Linear Regression (2018) (22)
- Automatic motor task selection via a bandit algorithm for a brain-controlled button (2013) (22)
- Contextual Bandits under Delayed Feedback (2018) (21)
- Adaptive confidence sets for matrix completion (2016) (20)
- Uncertainty Quantification for Matrix Compressed Sensing and Quantum Tomography Problems (2015) (20)
- Learning Relationships between Data Obtained Independently (2016) (19)
- Adaptive strategy for stratified Monte Carlo sampling (2015) (18)
- Testing the regularity of a smooth signal (2013) (15)
- An iterative hard thresholding estimator for low rank matrix recovery with explicit limiting distribution (2015) (14)
- Honest and adaptive confidence sets in Lp (2013) (14)
- Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button (2012) (13)
- An Adaptive Strategy for Active Learning with Smooth Decision Boundary (2017) (13)
- The Elliptical Potential Lemma Revisited (2020) (12)
- Adaptive and minimax optimal estimation of the tail coefficient (2013) (12)
- On signal detection and confidence sets for low rank inference problems (2015) (10)
- Minimax Number of Strata for Online Stratified Sampling Given Noisy Samples (2012) (10)
- Bandits with many optimal arms (2021) (9)
- CoAdapt P300 speller: optimized flashing sequences and online learning (2014) (9)
- Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions (2012) (8)
- Optimal sparsity testing in linear regression model (2019) (8)
- Estimating minimum effect with outlier selection (2018) (8)
- Optimizing P300-speller sequences by RIP-ping groups apart (2013) (8)
- Optimal multiple change-point detection for high-dimensional data (2020) (6)
- Constructing confidence sets for the matrix completion problem (2017) (6)
- The Influence of Shape Constraints on the Thresholding Bandit Problem (2020) (5)
- Pliable Rejection Sampling (2016) (5)
- Local minimax rates for closeness testing of discrete distributions (2019) (5)
- Implementable confidence sets in high dimensional regression (2015) (4)
- Adaptive confidence intervals for the tail coefficient in a wide second order class of Pareto models (2013) (4)
- Sharp Local Minimax Rates for Goodness-of-Fit Testing in Large Random Graphs, multivariate Poisson families and multinomials (2020) (4)
- Estimation of the ℓ2-norm and testing in sparse linear regression with unknown variance (2020) (4)
- Honest and adaptive confidence interval for the tail coefficient in the Pareto model (2013) (3)
- Problem Dependent View on Structured Thresholding Bandit Problems (2021) (3)
- Total variation distance for discretely observed Lévy processes: A Gaussian approximation of the small jumps (2018) (3)
- Minimax strategy for Stratified Sampling for Monte Carlo (2012) (3)
- Generalized non-stationary bandits (2021) (3)
- CoAdapt P 300 speller : optimized flashing sequences and online learning (2014) (3)
- A minimax near-optimal algorithm for adaptive rejection sampling (2018) (3)
- Minimax number of strata for online stratified sampling: The case of noisy samples (2014) (2)
- Minimax Euclidean separation rates for testing convex hypotheses in $\mathbb{R}^{d}$ (2017) (2)
- Goodness-of-Fit Testing for Hölder-Continuous Densities: Sharp Local Minimax Rates (2021) (2)
- Online allocation and homogeneous partitioning for piecewise constant mean-approximation (2012) (2)
- Scheduling with uncertain resources: Learning to ask the right questions (2008) (2)
- Sparse Recovery with Brownian Sensing (2011) (1)
- Sharp local minimax rates for goodness-of-fit testing in multivariate binomial and Poisson families and in multinomials (2020) (1)
- De l'échantillonage optimal en grande et petite dimension (2012) (1)
- Adaptive Strategy for Stratied (2015) (0)
- Active multiple matrix completion with adaptive confidence sets (2019) (0)
- Toward Optimal Stratification for Stratified Monte-Carlo Integration (2013) (0)
- Adaptive algorithms for Stratied Sampling Monte Carlo (2012) (0)
- On optimal Sampling in low and high dimension (2012) (0)
- Two-sample Tests for Random Graphs (2017) (0)
- Scaling up the scales; one scale to combine them all (2020) (0)
- Restless dependent bandits with fading memory (2019) (0)
- Bernoulli Adaptive confidence sets for matrix completion (2017) (0)
- The price of unfairness in linear bandits with biased feedback (2022) (0)
- Optimistic Optimization in R [R package OOR version 0.1.3] (2020) (0)
- New Results - Supervised learning (2011) (0)
- Rotting bandits are no harder than stochastic bandits (2019) (0)
- Optimal Permutation Estimation in Crowd-Sourcing problems (2022) (0)

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## What Schools Are Affiliated With Alexandra Carpentier?

Alexandra Carpentier is affiliated with the following schools: