| Optimal Integrative Estimation for Distributed Precision Matrices with Heterogeneity Adjustment |
Yinrui Sun and Yin Xia
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| Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance Estimation |
Yanhao Jin, Krishnakumar Balasubramanian and Debashis Paul
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| Inferring diffusivity from killed diffusion |
Richard Nickl and Fanny Seizilles
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| No-Regret Generative Modeling via Parabolic Monge-Ampère PDE |
Nabarun Deb and Tengyuan Liang
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| Fast convergence rates for estimating the stationary density in SDEs driven by a fractional Brownian motion with semi-contractive drift |
Chiara Amorino, Eulalia Nualart, Fabien Panloup and Julian Sieber
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| Gaussian and non-Gaussian Universality of Data Augmentation |
Kevin Han Huang, Peter Orbanz and Morgane Austern
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| Data assimilation with the $2D$ Navier-Stokes equations: Optimal Gaussian asymptotics for the posterior measure |
Dimitri Konen and Richard Nickl
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| Active Subsampling for Measurement-Constrained M-Estimation of Individualized Thresholds with High-Dimensional Data |
Jingyi Duan, Lehao Fu and Yang Ning
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| Granulometric Smoothing on Manifolds |
Diego Bolón, Rosa María Crujeiras and Alberto Rodríguez-Casal
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| Consistent Infill Estimability of the Regression Slope Between Gaussian Random Fields Under Spatial Confounding |
Abhirup Datta and Michael L. Stein
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| Consistent Bayesian Spatial Domain Partitioning Using Predictive Spanning Tree Methods |
Kun Huang and Huiyan Sang
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| Local minima of the empirical risk in high dimension: General theorems and convex examples |
Kiana Asgari, Andrea Montanari and Basil Saeed
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| Nuisance Function Tuning and Sample Splitting for Optimally Estimating a Doubly Robust Functional |
Sean McGrath and Rajarshi Mukherjee
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| Spectral Asymptotics of Neural Network Jacobians: Convergency, Universality, and Phase Transition |
Huiqin Li, Guangming Pan and Yanqing Yin
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| SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals |
Jianqing Fan, Yingying Fan, Jinchi Lv and Fan Yang
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| Alignment and matching tests for high-dimensional tensor signals via tensor contraction |
Ruihan Liu, Zhenggang Wang and Jianfeng Yao
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| Power properties of the two-sample test based on the nearest neighbors graph |
Rahul Raphael Kanekar
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| On importance sampling and independent Metropolis-Hastings with an unbounded weight function |
Pierre Etienne Jacob
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| Fast Wasserstein rates for estimating probability distributions of probabilistic graphical models |
Daniel Bartl and Stephan Eckstein
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| Ridge-Regularized Largest Root Test For High-Dimensional General Linear Hypotheses |
Haoran Li
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| Smooth Flow Matching |
Jianbin Tan and Anru Zhang
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| Minmax Trend Filtering: Generalizations of Total Variation Denoising via a Local Minmax/Maxmin Formula |
Sabyasachi Chatterjee
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| Principled Analysis of Crossover Designs: Causal Effects, Efficient Estimation, and Robust Inference |
Peng Ding and Zhichao Jiang
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| Generalized Robust Adaptive-Bandwidth Multi-View Manifold Learning in High Dimensions with Noise |
Xiucai Ding, Chao Shen and Hau-Tieng Wu
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| Revisiting mean estimation over lp balls: Is the MLE optimal? |
Liviu Aolaritei, Michael Jordan, Reese Pathak and Annie Ulichney
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| Functional linear regression from sparse to dense designs: a pooling-ridge method and minimax optimality |
Shunxing Yan and Fang Yao
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