🏛️ The math.ST Crypt

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Nonparametric regression using deep neural networks with ReLU activation function

Johannes Schmidt-Hieber

math.ST 🏛 Annals of Statistics 📚 949 cites 8 years ago

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An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists

Frédéric Chazal, Bertrand Michel

math.ST 🏛 AI 📚 727 cites 8 years ago

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Minimax Optimal Procedures for Locally Private Estimation

John Duchi, Martin Wainwright, Michael Jordan

math.ST 🏛 arXiv 📚 481 cites 9 years ago

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Optimal Best Arm Identification with Fixed Confidence

Aurélien Garivier, Emilie Kaufmann

math.ST 🏛 COLT 📚 384 cites 10 years ago

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Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees

Yudong Chen, Martin J. Wainwright

math.ST 🏛 arXiv 📚 329 cites 10 years ago

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User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient

Arnak S. Dalalyan, Avetik G. Karagulyan

math.ST 🏛 Stochastic Processes and their Applications 📚 319 cites 8 years ago

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Safe Testing

Peter Grünwald, Rianne de Heide, Wouter Koolen

math.ST 🏛 Information Theory and Applications Workshop 📚 267 cites 6 years ago

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Multi Snapshot Sparse Bayesian Learning for DOA Estimation

Peter Gerstoft, Christoph F. Mecklenbräuker, Angeliki Xenaki

math.ST 🏛 IEEE SPL 📚 249 cites 10 years ago

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Achieving Optimal Misclassification Proportion in Stochastic Block Model

Chao Gao, Zongming Ma, ... (+2 more)

math.ST 🏛 JMLR 📚 244 cites 10 years ago

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Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow

T. Tony Cai, Xiaodong Li, Zongming Ma

math.ST 🏛 arXiv 📚 244 cites 10 years ago

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Explore First, Exploit Next: The True Shape of Regret in Bandit Problems

Aurélien Garivier, Pierre Ménard, Gilles Stoltz

math.ST 🏛 Mathematics of Operations Research 📚 223 cites 10 years ago

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Statistical consistency and asymptotic normality for high-dimensional robust M-estimators

Po-Ling Loh

math.ST 🏛 arXiv 📚 216 cites 11 years ago

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False Discoveries Occur Early on the Lasso Path

Weijie Su, Malgorzata Bogdan, Emmanuel Candes

math.ST 🏛 arXiv 📚 199 cites 10 years ago

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Minimax Rates of Community Detection in Stochastic Block Models

Anderson Y. Zhang, Harrison H. Zhou

math.ST 🏛 arXiv 📚 196 cites 10 years ago

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Tensor SVD: Statistical and Computational Limits

Anru Zhang, Dong Xia

math.ST 🏛 IEEE TIT 📚 195 cites 9 years ago

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Solving (most) of a set of quadratic equalities: Composite optimization for robust phase retrieval

John C. Duchi, Feng Ruan

math.ST 🏛 Information and Inference A Journal of the IMA 📚 187 cites 8 years ago

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Policy Learning with Observational Data

Susan Athey, Stefan Wager

math.ST 🏛 arXiv 📚 186 cites 9 years ago

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Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio

Dmitriy Kunisky, Alexander S. Wein, Afonso S. Bandeira

math.ST 🏛 arXiv 📚 165 cites 6 years ago

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Multiple and single snapshot compressive beamforming

Peter Gerstoft, Angeliki Xenaki, Christoph F. Mecklenbräuker

math.ST 🏛 J.ASA 📚 165 cites 11 years ago

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A simple measure of conditional dependence

Mona Azadkia, Sourav Chatterjee

math.ST 🏛 Annals of Statistics 📚 162 cites 6 years ago

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On the Computational Complexity of High-Dimensional Bayesian Variable Selection

Yun Yang, Martin J. Wainwright, Michael I. Jordan

math.ST 🏛 arXiv 📚 157 cites 10 years ago

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Community Detection in Degree-Corrected Block Models

Chao Gao, Zongming Ma, ... (+2 more)

math.ST 🏛 Annals of Statistics 📚 150 cites 9 years ago

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SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax

Weijie Su, Emmanuel Candes

math.ST 🏛 arXiv 📚 150 cites 11 years ago

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Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing

Marco Gaboardi, Hyun woo Lim, ... (+2 more)

math.ST 🏛 ICML 📚 146 cites 10 years ago