001 On-Policy and Off-Policy Learning for Large Action Spaces arXiv Paper Imad Aouali Yesterday 002 Windowed thinning and query complexity for the bouncy particle and Zigzag samplers arXiv Paper Jianfeng Lu et al. Yesterday 003 Chaos Is a LADDER: Domain Generalization Beyond Invariance via Reweighting arXiv Paper Yuhang Jiang, Fengchuan Zhang et al. 2 days ago 004 Feature Bagging Provides Stability arXiv Paper Yuheng Ma, Qiang Sun 2 days ago 005 Denoising growth complexity: Data geometry and certified schedules for diffusion sampling arXiv Paper Martin J. Wainwright 3 days ago 006 Debiased Machine Learning: Identification, Estimation, and Shape Constraints arXiv Paper Qihui Chen, Ka Yan Cheng et al. 4 days ago 007 Minimax Lower Bounds of Kernel Discrepancy Estimation: MMD, HSIC, KSD arXiv Paper Jose Cribeiro-Ramallo, Florian Kalinke et al. 4 days ago 008 The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ arXiv Paper Apratim Dey 4 days ago 009 The Zero Pattern of a Design Matrix Drives Multiple Descent in Over-parameterized Regression arXiv Paper Kevin Han Huang, Haoyu Ye et al. 4 days ago 010 A Statistical Difference between Single-Layer Learning and Hierarchical Learning in Wide Neural Networks arXiv Paper Sumio Watanabe 5 days ago 011 Learning switched non-linear dynamical systems from a single trajectory arXiv Paper S. G. Wang, Hemant Tyagi 5 days ago 012 Recovery of latent inner products from an anisotropic Gaussian random geometric graph arXiv Paper Cheng Mao, Vidya Muthukumar 5 days ago 013 Beyond ICA: Identifiability by Symmetry Breaking arXiv Paper Pengzhou (Abel) Wu 6 days ago 014 From Score Learning to Discretized Sampling: An End-to-End Generalization Analysis of Diffusion Models arXiv Paper Jinshu Huang, Yiming Jiang et al. 6 days ago 015 On the Order-Conditional Optimality of Gaffke's Bound arXiv Paper G. Bissias, E. Learned-Miller 6 days ago 016 Beyond Negative-Ridge Endpoints: Mixed-Sign Spectral Regularization via Negative-Shifted Gradient Descent arXiv Paper Peng Zhao 7 days ago 017 The V-fold jackknife for semiparametric inference: variance estimation, confidence intervals, and simultaneous confidence bands arXiv Paper Yi Li, Ashkan Ertefaie et al. 7 days ago 018 Optimal use of a black-box learner in semiparametric estimation arXiv Paper Yihong Gu Jul 23 019 Fisher Widths: Local Learning Geometry and Anisotropic Recovery arXiv Paper V. Ky Jul 22 020 Lipschitzian SLLNs for random functions arXiv Paper Lai Tian, J. Royset Jul 22 021 Statistical Inference for Rank Allocation in Low-Rank Adaptation arXiv Paper Yihang Gao, Vincent Y. F. Tan Jul 22 022 Boundary-Adapted PINNs for Elliptic Dirichlet Problems: $H^2(Ω)$ A Priori Error Bounds with Application to Mean Escape Time Computation arXiv Paper Nathanael Tepakbong, Jun Fan et al. Jul 21 023 Fundamental limits of distributed multiclass classification from simple binary decisions arXiv Paper I. Papageorgiou, Srinivas Nomula et al. Jul 21 024 Some cautionary tales about Bayesian predictive inference arXiv Paper E. Dreassi, Fabrizio Leisen et al. Jul 21 025 The Tractability Landscape of Sampling with Inexact Scores arXiv Paper Anming Gu, K. Tian et al. Jul 21 026 A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing arXiv Paper Yi-Ping Chen, Ying-Kuan Tsai et al. Jul 20 027 Calibrating Semantic Uncertainty from Observable Language-Model Probabilities arXiv Paper Matthew F. Dixon Jul 20 028 How Fast Do Signatures Learn? Statistical Theory and Applications for Path Regression arXiv Paper Blanka Horvath, Wenzhuo Su et al. Jul 20 029 Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics arXiv Paper Vignesh Tirukkonda, Gautam Dasarathy Jul 20 030 Unveiling Invariant and Transferable Latent Factors Across Heterogeneous Environments via ATLAS arXiv Paper Yihong Gu, Katherine P. Liao et al. Jul 20 031 Vector Search As Nearest Neighbor Matching: RAG-based Policy Learning in Causal Inference arXiv Paper Masahiro Kato, Takahide Kato Jul 20 032 Econometrics with Pre-Trained Embeddings for Unstructured Data arXiv Paper Yuya Shimizu Jul 19 033 The Resolution of Causal Heterogeneity arXiv Paper Yuki Ohnishi, Fan Li Jul 19 034 De-floored Principal Component Regression: When Rank Selection Alone Is Insufficient for Prediction arXiv Paper Peng Zhao Jul 18 035 Honest Physical-Support Inference after Latent Dictionary Learning: Collision Singularities and Minimax Resolution arXiv Paper Guan-Ju Peng Jul 18 036 The Value of Depth in Message Passing on Sparse Graphs: A Kesten-Stigum Dichotomy arXiv Paper Aseem Baranwal Jul 18 037 Tight Sample Bounds for Renyi and Min-Entropy Estimation arXiv Paper Arman Adibi, Piotr Krysta Jul 18 038 Aggregation of Statistical Evidence under Exchangeability arXiv Paper Antonin Schrab, Rajen D. Shah et al. Jul 17 039 Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator arXiv Paper Felix Gnettner, Hye-Eun Yeon et al. Jul 17 040 On the Role of Normalization in Binary Iterative Hard Thresholding for 1-bit Compressed Sensing arXiv Paper Arya Mazumdar, Prateeti Mukherjee Jul 17 041 Projective Maximum Entropy: Universality and Acceptance-Region Calibration arXiv Paper H. Hino Jul 17 042 Measuring Spatial Clustering via Metropolis-Hastings Diffusion Distance arXiv Paper Thomas Weighill, Chidinma Williams Jul 16 043 Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection arXiv Paper Dhia-Elhaq Ouerfelli, Sylvain Arlot et al. Jul 16 044 Precise sample covariance spectral norm error -- an RDT view arXiv Paper M. Stojnic Jul 16 045 Prediction-Only Distillation in Linear and Logistic Regression arXiv Paper Hien Dang, Pratik Patil et al. Jul 16 046 Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression arXiv Paper Soham Jana Jul 15 047 Partially Correlated Verifier Cascades in LLM Harnesses: Concave Log-Odds, Polynomial Reliability, and Blind-Spot Ceilings arXiv Paper Jian-guo Han Jul 15 048 Spectral Concentration and Recovery in Sparse High-Dimensional Random Geometric Graphs arXiv Paper V. ManuelFernandez, Yizhe Zhu Jul 15 049 ANGLE: Angular Neural Generative Learning via Engression arXiv Paper Rajdeep Pathak, Archi Roy et al. Jul 14 050 Accelerated Mixing Time of Randomized Hamiltonian Monte Carlo arXiv Paper Siddharth Mitra, Vishwak Srinivasan et al. Jul 14 051 MixCIT: A Kernel Based Local-Polynomial Debiased Test for Conditional Independence on Mixed-Type Data arXiv Paper Mengxiao Gao, Kyra Gan et al. Jul 14 052 Causal Graphs, Markov Properties and Do-calculus for Stochastic Differential Equations arXiv Paper P. Boeken, J. Mooij Jul 13 053 The Benjamini--Hochberg Procedure Can Fail to Control the FDR for Correlated Two-Sided Gaussian Tests arXiv Paper Edgar Dobriban Jul 13 054 Achieving Almost Exact Recovery in Almost Quadratic Time: Rank-Based Graph Matching via Local Tree Correlation Tests arXiv Paper Jiale Cheng et al. Jul 10 055 Deep Gaussian Processes on Directed Acyclic Graphs arXiv Paper Federico L Perlino, Oliver Hamelijnck et al. Jul 10 056 Geometric mean-based pairwise comparison method with the reference values -- statistical approach arXiv Paper Konrad Kulakowski, J. Szybowski Jul 10 057 High-Dimensional Interpolators Can Be Fragile: Heavy Tails and High-Dimensional Large Deviations arXiv Paper Youheng Zhu et al. Jul 10 058 Near-optimal node-private community estimation in polynomial-time arXiv Paper Laurentiu Marchis et al. Jul 10 059 Group Invariant Spectral Embedding arXiv Paper Yeari Vigder, Paulina Hoyos et al. Jul 9 060 High-Dimensional Procrustes Matching via Tree Counts arXiv Paper Xiaochun Niu, T. Schramm et al. Jul 9