Alexandra Carpentier

Alexandra Carpentier's AcademicInfluence.com Rankings

Mathematics

#7135

World Rank

#9761

Historical Rank

Statistics

#1068

World Rank

#1171

Historical Rank

Measure Theory

#4860

World Rank

#5693

Historical Rank

mathematics Degrees

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Mathematics

Why Is Alexandra Carpentier Influential?

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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.

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Alexandra Carpentier's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

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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Alexandra Carpentier's Academic­Influence.com Rankings

Why Is Alexandra Carpentier Influential?

Alexandra Carpentier's Published Works

Published Works

Other Resources About Alexandra Carpentier

What Schools Are Affiliated With Alexandra Carpentier?

Alexandra Carpentier's AcademicInfluence.com Rankings