Community Detection on Mixture Multi-Layer Networks Via Regularized Tensor Decomposition |
Bing-Yi Jing, Ting Li, Zhongyuan Lyu, and Dong Xia
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Continuous-time targeted minimum loss-based estimation of intervention-specific mean outcomes |
Helene Charlotte Rytgaard, Thomas A. Gerds, and Mark J. van der Laan
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Convergence of de Finetti’s mixing measure in latent structure models for observed exchangeable sequences |
Yun Wei and XuanLong Nguyen
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Correction to: Asymptotic genealogies of interacting particle systems with an application to sequential Monte Carlo |
Jere Koskela, Paul A Jenkins, Adam M Johansen, and Dario Spano
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Conditional Calibration for False Discovery Rate Control Under Dependence |
William Fithian and Lihua Lei
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Detecting Multiple Replicating Signals using Adaptive Filtering Procedures |
Jingshu Wang, Lin Gui, Weijie J. Su, Chiara Sabatti, and Art B. Owen
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Optimal signal detection in some spiked random matrix models: likelihood ratio tests and linear spectral statistics |
Debapratim Banerjee and Zongming Ma
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On universally consistent and fully distribution-free rank tests of vector independence |
Hongjian Shi, Marc Hallin, Mathias Drton, and Fang Han
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Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives |
Hussein Hazimeh, Rahul Mazumder, and Peter Radchenko
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Limit theorems for distributions invariant under groups of transformations |
Morgane Austern and Peter Orbanz
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Distributed Adaptive Gaussian Mean Estimation with Unknown Variance: Interactive Protocol Helps Adaptation |
Tony Cai and Hongji Wei
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Asymptotic accuracy of the saddlepoint approximation for maximum likelihood estimation |
Jesse Goodman
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Generalization Error Bounds of Dynamic Treatment Regimes in Regression-Based Learning |
Eun Jeong Oh, Min Qian, and Ken Cheung
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A CLT for second difference estimators with an application to volatility and intensity |
Emil Aas Stoltenberg, Per Aslak Mykland, and Lan Zhang
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Sharp optimal recovery in the two Component Gaussian Mixture Model |
Mohamed Ndaoud
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Precise Statistical Analysis of Classification Accuracies for Adversarial Training |
Adel Javanmard and Mahdi Soltanolkotabi
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Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices |
Jaouad Mourtada
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Stochastic Continuum-armed Bandits with Additive Models: Minimax Regrets and Adaptive Algorithm |
Tony Cai and Hongming Pu
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Asymptotic independence of spiked eigenvalues and linear spectral statistics for large sample covariance matrices |
Zhixiang Zhang, Shurong Zheng, Guangming Pan, and Pingshou Zhong
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Central Limit Theorem and Bootstrap Approximation in High Dimensions: Near 1/√n R Rates via Implicit Smoothing |
Miles Lopes
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Learning Mixtures of Permutations: Groups of Pairwise Comparisons and Combinatorial Method of Moments |
Cheng Mao and Yihong Wu
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Generalized resilience and robust statistics |
Banghua Zhu, Jiantao Jiao, and Jacob Noah Steinhardt
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Testing Goodness-of-Fit and Conditional Independence with Approximate Co-Sufficient Sampling |
Rina Foygel Barber and Lucas Janson
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Nonregular and Minimax Estimation of Individualized Thresholds in High Dimension with Binary Responses |
Huijie Feng, Yang Ning, and Jiwei Zhao
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A No-Free-Lunch Theorem for Multitask Learning |
Steve Hanneke and Samory Kpotufe
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On the robustness of minimum-norm interpolators |
Geoffrey Chinot, Matthias Löffler, and Sara van de Geer
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Random Graph Asymptotics for Treatment Effect Estimation under Network Interference |
Shuangning Li and Stefan Wager
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New Edgeworth-type expansions with finite sample guarantees |
Mayya Zhilova
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Improved Central Limit Theorem and Bootstrap Approximations in High Dimensions |
Victor Chernozhukov, Denis Chetverikov, Kengo Kato, and Yuta Koike
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Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner Limit |
Zhiqi Bu, Jason Matthew Klusowski, Cynthia Rush, and Weijie J Su
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Bounds on the Conditional and Average Treatment Effect with Unobserved Confounding Factors |
Steve Yadlowsky, Hongseok Namkoong, Sanjay Basu, John C Duchi, and Lu Tian
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An ℓp theory of PCA and spectral clustering |
Emmanuel Abbe, Jianqing Fan, and Kaizheng Wang
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Estimation of Smooth Functionals in High-Dimensional Models: Bootstrap Chains and Gaussian Approximation |
Vladimir Koltchinskii
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A minimax framework for quantifying risk-fairness trade-off in regression |
Evgenii Chzhen and Nicolas Schreuder
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Affine-equivariant inference for multivariate location under Lp loss functions |
Alexander Dürre and Davy Paindaveine
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Consistency of invariance-based randomization tests |
Edgar Dobriban
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Is infinity that far? A Bayesian nonparametric perspective of finite mixture models |
Raffaele Argiento and Maria De Iorio
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Global and Individualized Community Detection in Inhomogeneous Multilayer Networks |
Shuxiao Chen, Sifan Liu, and Zongming Ma
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Inference of Synchrosqueezing Transform – Toward a Unified Statistical Analysis of Nonlinear-Type Time-Frequency Analysis |
Hau-tieng Wu, Matt Sourisseau, and Zhou Zhou
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Approximate Kernel PCA Using Random Features: Computational vs. Statistical Trade-off |
Bharath Sriperumbudur and Nicholas Sterge
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Graphical models for nonstationary time series |
Sumanta Basu and Suhasini Subba Rao
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Corrigendum: Asymptotic spectral theory for nonlinear time series |
Yi Zhang, Xiaofeng Shao, and Weibiao Wu
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Optimal estimation of high-dimensional Gaussian mixtures |
Natalie Doss, Pengkun Yang, Yihong Wu, and Harrison Zhou
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Relaxing the Gaussian assumption in Shrinkage and SURE in high dimension |
Larry Goldstein, Max Fathi, Gesine Reinert, and Adrien Saumard
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Nonparametric Bivariate Density Estimation for Censored Lifetimes |
Sam Efromovich
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Linear biomarker combination for constrained classification |
Yijian Huang and Martin G. Sanda
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The Interpolation Phase Transition In Neural Networks: Memorization And Generalization Under Lazy Training |
Andrea Montanari and Yiqiao Zhong
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A Sieve Stochastic Gradient Descent Estimator for Online Nonparametric Regression in Sobolev ellipsoids |
Tianyu Zhang and Noah Simon
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Nonparametric Bayesian inference for reversible multi-dimensional diffusions |
Matteo Giordano and Kolyan Ray
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Scalable estimation and inference for censored quantile regression process |
Xuming He, Xiaoou Pan, Kean Ming Tan, and Wenxin Zhou
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A Study of Orthogonal Array-Based Designs Under a Broad Class of Space-Filling Criteria |
Guanzhou Chen and Boxin Tang
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Two-sample testing of high-dimensional linear regression coefficients via complementary sketching |
Fengnan Gao and Tengyao Wang
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Optimization Hierarchy for Fair Statistical Decision Problems |
Anil Aswani and Matt Olfat
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Nonparametric Regression on Lie Groups with Measurement Errors |
Jeong Min Jeon, Byeong U Park, and Ingrid Van Keilegom
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Locally associated graphical models and mixed convex exponential families |
Steffen Lauritzen and Piotr Zwiernik
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Estimation of time series models using residuals dependence measures |
Carlos Velasco
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