Testing network correlation efficiently via counting trees |
Cheng Mao, Yihong Wu, Jiaming Xu, and Sophie H. Yu
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Non-independent component analysis |
Geert Mesters and Piotr Zwiernik
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Estimation of the Spectral Measure from Convex Combinations of Regularly Varying Random Vectors |
Marco Oesting and Olivier Wintenberger
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Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits |
Nived Rajaraman, Yanjun Han, Jiantao Jiao, and Kannan Ramchandran
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Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay |
Yuetian Luo and Anru R Zhang
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Wald Tests When Restrictions Are Locally Singular |
Jean-Marie Dufour, Eric Renault, and Victoria Zinde-Walsh
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Time-Uniform Central Limit Theory and Asymptotic Confidence Sequences |
Ian Waudby-Smith, David Arbour, Ritwik Sinha, Edward Kennedy, and Aaditya Ramdas
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Tensor Factor Model Estimation by Iterative Projection |
Yuefeng Han, Rong Chen, Dan Yang, and Cun-Hui Zhang
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Statistical Inference for Four-Regime Segmented Regression Models |
Han Yan and Song X Chen
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Large Dimensional Independent Component Analysis: Statistical Optimality and Computational Tractability |
Arnab Auddy and Ming Yuan
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Stereographic Markov Chain Monte Carlo |
Jun Yang, Krzysztof Latuszynski, and Gareth O Roberts
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Skewed Bernstein-Von Mises Theorem and Skew-Modal Approximations |
Daniele Durante, Francesco Pozza, and Botond Szabo
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Empirical partially Bayes multiple testing and compound $\chi^2$ decisions |
Nikolaos Ignatiadis and Bodhisattva Sen
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Deep Neural Networks for Nonparametric Interaction Models with Diverging Dimension |
Sohom Bhattacharya, Jianqing Fan, and Debarghya Mukherjee
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On the Statistical Complexity of Sample Amplification |
Brian Axelrod, Shivam Garg, Yanjun Han, Vatsal Sharan, and Gregory Valiant
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Convex Regression in Multidimensions: Suboptimality of Least Squares Estimators |
Gil Kur, Fuchang Gao, Adityanand Guntuboyina, and Bodhisattva Sen
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Noisy Recovery From Random Linear Observations: Sharp Minimax Rates Under Elliptical Constraints |
Reese Pathak, Martin J Wainwright, and Lin Xiao
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The Projected Covariance Measure for Assumption-Lean Variable Significance Testing |
Anton Rask Lundborg, Ilmun Kim, Rajen Shah, and Richard Samworth
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A Common-Cause Principle for Eliminating Selection Bias in Causal Estimands Through Covariate Adjustment |
Maya Mathur, Ilya Shpitser, and Tyler VanderWeele
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Dimension Free Ridge Regression |
Chen Cheng and Andrea Montanari
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Near-Optimal Inference in Adaptive Linear Regression |
Koulik Khamaru, Yash Deshpande, Tor Lattimore, Lester Mackey, and Martin J. Wainwright
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Change Point Analysis With Irregular Signals |
Tobias Kley, Yuhan Philip Liu, Hongyuan Cao, and Wei Biao Wu
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Statistical Inference for Decentralized Federated Learning |
Jia Gu and Song X Chen
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Concentration of Discrepancy-Based Approximate Bayesian Computation via Rademacher Complexity |
Sirio Legramanti, Daniele Durante, and Pierre Alquier
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Forward Selection and Post-Selection Inference in Factorial Designs |
Lei Shi, Jingshen Wang, and Peng Ding
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On the Sample Complexity of Entropic Optimal Transport |
Philippe Rigollet and Austin J Stromme
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Deflated HeteroPCA: Overcoming the Curse of Ill-Conditioning in Heteroskedastic PCA |
Yuchen Zhou and Yuxin Chen
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Nonlinear Global Fréchet Regression for Random Objects via Weak Conditional Expectation |
Satarupa Bhattacharjee, Bing Li, and Lingzhou Xue
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Simplex Quantile Regression Without Crossing |
Tomohiro Ando and Ker-Chau Li
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Bayesian Nonparametric Inference in McKean-Vlasov models |
Richard Nickl, Gregorios Pavliotis, and Kolyan Ray
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Ensemble Projection Pursuit for General Nonparametric Regression |
Haoran Zhan, Mingke Zhang, and Yingcun Xia
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Rate-Optimal Estimation of Mixed Semimartingales |
Carsten Chong, Thomas Delerue, and Fabian Mies
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Asymptotic Distributions of Largest Pearson Correlation Coefficients under Dependent Structures |
Tiefeng Jiang and Tuan Pham
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Some Theory About Efficient Dimension Reduction With Respect to Interaction Between Two Responses |
Wei Luo
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Observable Adjustments in Single-Index Models for Regularized M-Estimators With Bounded p/n |
Pierre C. Bellec
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Statistical Framework for Analyzing Shape in a Time Series of Random Geometric Objects |
Anne Margrete Nicolien van Delft and Andrew J. Blumberg
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General Spatio-Temporal Factor Models for High-Dimensional Random Fields on a Lattice |
Matteo Barigozzi, Davide La Vecchia, and Hang Liu
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Optimal Heteroskedasticity Testing in Nonparametric Regression |
Subhodh Kotekal and Soumyabrata Kundu
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A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules |
Xiang Li, Feng Ruan, Huiyuan Wang, Qi Long, and Weijie Su
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Increasing Dimension Asymptotics for Two-Way Crossed Mixed Effect Models |
Ziyang Lyu, Scott A Sisson, and Alan H Welsh
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Approximation Error from Discretizations and Its Applications |
Junlong Zhao, Xiumin Liu, Bin Du, and Yufeng Liu
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Embedding Distributional Data |
Ery Arias-Castro and Wanli Qiao
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Empirical Likelihood Based Testing for Multivariate Regular Variation |
John H.J. Einmahl, Andrea Krajina, and Juan Juan Cai
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Computationally Efficient and Statistically Optimal Robust High-dimensional Linear Regression |
Yinan Shen, Jingyang Li, Jian-Feng Cai, and Dong Xia
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Entropic Covariance Models |
Piotr Zwiernik
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Multivariate Dynamic Mediation Analysis Under a Reinforcement Learning Framework |
Lan Luo, Chengchun Shi, Jitao Wang, Zhenke Wu, and Lexin Li
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A New Central Limit Theorem for the Augmented IPW Estimator: Variance Inflation, Cross-fit Covariance and Beyond |
Kuanhao Jiang, Rajarshi Mukherjee, Subhabrata Sen, and Pragya Sur
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Sparse Anomaly Detection Across Referentials: A Rank-Based Higher Criticism Approach |
Ivo V. Stoepker, Rui M. Castro, and Ery Arias-Castro
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Studentized Tests of Independence: Random-Lifter Approach |
Gao Zhe, Roulin Wang, Xueqin Wang, and Heping Zhang
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Residual Permutation Test for Regression Coefficient Testing |
Kaiyue Wen, Tengyao Wang, and Yuhao Wang
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ARK: Robust Knockoffs Inference with Coupling |
Yingying Fan, Lan Gao, and Jinchi Lv
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On the Convergence of Coordinate Ascent Variational Inference |
Anirban Bhattacharya, Debdeep Pati, and Yun Yang
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Optimal Transport Map Estimation in General Function Spaces |
Vincent Divol, Jonathan Niles-Weed, and Aram-Alexandre Pooladian
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Unified Algorithms for RL with Decision-Estimation Coefficients: PAC, Reward-Free, Preference-Based Learning, and Beyond |
Fan Chen, Song Mei, and Yu Bai
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