| 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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| Design admissibility and de la Garza phenomenon in multi-factor experiments |
Holger Dette, Xin Liu, and Rong-Xian Yue
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| Evidence Factors from Multiple, Possibly Invalid, Instrumental Variables |
Anqi Zhao, Youjin Lee, Dylan S Small, and Bikram Karmakar
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| Consistent Order Selection for ARFIMA Processes |
Hsueh-Han Huang, Ngai Hang Chan, Kun Chen, and Ching-Kang Ing
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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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| Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding |
Zijian Guo, Domagoj Ćevid, and Peter Bühlmann
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| Deep Learning for the Partially Linear Cox Model |
Qixian Zhong, Jonas Mueller, and Jane-Ling Wang
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| A General Framework: Optimal Difference-based Variance Estimator in Time Series |
Kin Wai Chan
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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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| Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap |
Yunyi Zhang and Dimitris Politis
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| Cube Root Weak Convergence of Empirical Estimators of a Density Level Set |
Philippe Berthet and John H.J. Einmahl
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| Two-sample Testing for High-Dimensional Multinomials under Rare/Weak Perturbations |
David Leigh Donoho and Alon Kipnis
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| A New and Flexible Design Construction for Orthogonal Arrays and their Generalizations for Modern Applications |
Yuanzhen He, Chunfang Devon Lin, and Fasheng Sun
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| Consistency of Bayesian inference for multivariate max-stable distributions |
Simone Andrea Padoan and Stefano Rizzelli
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| Minimax estimation of smooth densities in Wasserstein distance |
Jonathan Niles-Weed and Quentin Berthet
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| Large scale inference with block structure |
Guenther Walther and Jiyao Kou
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| Uniform convergence of local Fréchet regression, with applications to locating extrema and time warping for metric space valued trajectories |
Yaqing Chen and Hans-Georg Müller
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| Cointegration in large VARs |
Anna Bykhovskaya and Vadim Gorin
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| Limit theorems for invariant distributions |
Morgane Austern and Peter Orbanz
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| Partial Recovery for Top-k Ranking: Optimality of MLE and Sub-Optimality of Spectral Method |
Pinhan Chen, Chao Gao, and Anderson Zhang
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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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| A data-adaptive method for estimating density level sets under shape conditions |
Alberto Rodríguez-Casal and Paula Saavedra-Nieves
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| Asymptotic accuracy of the saddlepoint approximation for maximum likelihood estimation |
Jesse Goodman
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| A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum-ℓ1-Norm Interpolated Classifiers |
Tengyuan Liang and Pragya Sur
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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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| Intrinsic Riemannian Functional Data Analysis for Sparse Longitudinal Observations |
Lingxuan Shao, Zhenhua Lin, and Fang Yao
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| Strong mixing condition for Hawkes processes and application to Whittle estimation from count data |
Felix Cheysson and Gabriel Lang
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| Model selection in the space of Gaussian models invariant by symmetry |
Piotr Graczyk, Hideyuki Ishi, Bartosz Kołodziejek, and Helene Massam
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| Optimal Full Ranking from Pairwise Comparisons |
Pinhan Chen, Chao Gao, and Anderson Ye Zhang
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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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| Confidence Regions Near Singular Information and Boundary Points With Applications to Mixed Models |
Karl Oskar Ekvall and Matteo Bottai
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| Sharp optimal recovery in the two Component Gaussian Mixture Model |
Mohamed Ndaoud
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| Computational Barriers to Estimation from Low-Degree Polynomials |
Tselil Schramm and Alexander S. Wein
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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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