Introduction to high-dimensional statistics / by 587881 Giraud, Christophe

Mirror descent for high-dimensional statistical models by Wu, F

“…<p>As vast amounts of data are being produced and processed in various fields of science and engineering, optimizing high-dimensional statistical models has become a ubiquitous task in many modern applications. …”

Computational and statistical challenges in high dimensional statistical models by Zadik, Ilias.

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High-Dimensional Statistical Learning: Roots, Justifications, and Potential Machineries by Amin Zollanvari

“…Moreover, many scientists working in a specific field of high-dimensional statistical learning are either not aware of other existing machineries in the field or are not willing to try them out. …”
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Optimizing Error of High-Dimensional Statistical Queries Under Differential Privacy by Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala

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Optimizing Error of High-Dimensional Statistical Queries Under Differential Privacy by Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala

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Algorithms and Algorithmic Barriers in High-Dimensional Statistics and Random Combinatorial Structures by Kizildag, Eren C.

“…Our last focus is on neural network (NN) models arising from modern machine learning and high-dimensional statistical inference tasks. • Our first set of results to this direction establishes self-regularity for two-layer NNs with sigmoid, binary step, rectified linear unit (ReLU) activation functions and non-negative output weights in an algorithm-independent manner. …”
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Fast global convergence of gradient methods for high-dimensional statistical recovery by Agarwal, Alekh, Negahban, Sahand N., Wainwright, Martin J.

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High-dimensional Statistical Analysis and Its Application to an ALMA Map of NGC 253 by Tsutomu T. Takeuchi, Kazuyoshi Yata, Kento Egashira, Makoto Aoshima, Aki Ishii, Suchetha Cooray, Kouichiro Nakanishi, Kotaro Kohno, Kai T. Kono

“…In this work, we first introduce high-dimensional statistical analysis to the astronomical community. …”
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Topics in Sparsity and Compression: From High dimensional statistics to Overparametrized Neural Networks by Benbaki, Riade

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Is Seeing Believing? A Practitioner’s Perspective on High-Dimensional Statistical Inference in Cancer Genomics Studies by Kun Fan, Srijana Subedi, Gongshun Yang, Xi Lu, Jie Ren, Cen Wu

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High-Dimensional Statistics: Non-Parametric Generalized Functional Partially Linear Single-Index Model by Mohamed Alahiane, Idir Ouassou, Mustapha Rachdi, Philippe Vieu

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Topology Adaptive Graph Estimation in High Dimensions by Johannes Lederer, Christian L. Müller

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A self-calibrated direct approach to precision matrix estimation and linear discriminant analysis in high dimensions by Pun, Chi Seng, Hadimaja, Matthew Zakharia

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Learning curves for the multi-class teacher–student perceptron by Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga, Cédric Gerbelot, Bruno Loureiro, Lenka Zdeborová

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Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes by Xu Wang, Ali Shojaie

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Modeling and Prediction of Large‐Scale Climate Variability by Inferring Causal Structure by Shan He, Song Yang, Dake Chen

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Topics in spectral analysis of large sample covariance matrices by Lin, Zeqin

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Theoretical characterization of uncertainty in high-dimensional linear classification by Lucas Clarté, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová

Subjects: “…high-dimensional statistics…”
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Square-root lasso under correlated regressors: Tight statistical analysis with a wireless communications application by Ayed M. Alrashdi, Masad A. Alrasheedi

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