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8727 papers in Statistics
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TITLE
DATE
VIEWS
On the optimization dynamics of RLVR: Gradient gap and step size thresholds
By Joe Suk, Yaqi Duan · ArXiv: 2510.08539
2026-02-11
0
Dimension-free Bounds for Covariance Estimation with Tensor-Train Structure
By Artsiom Patarusau, Nikita Puchkin, Maxim Rakhuba · ArXiv: 2510.08174
2026-02-10
0
metabeta -- A fast neural model for Bayesian mixed-effects regression
By Alex Kipnis, Marcel Binz, Eric Schulz · ArXiv: 2510.07473
2026-02-04
0
Beyond the Oracle Property: Adaptive LASSO in Cointegrating Regressions with Local-to-Unity Regressors
By Karsten Reichold, Ulrike Schneider · ArXiv: 2510.07204
2026-03-12
0
Geometric Model Selection for Latent Space Network Models: Hypothesis Testing via Multidimensional Scaling and Resampling Techniques
By Jieyun Wang, Anna L. Smith · ArXiv: 2510.06136
2026-02-04
0
Generalization of Gibbs and Langevin Monte Carlo Algorithms in the Interpolation Regime
By Andreas Maurer, Erfan Mirzaei, Massimiliano Pontil · ArXiv: 2510.06028
2026-02-12
0
Out-of-Distribution Detection from Small Training Sets using Bayesian Neural Network Classifiers
By Kevin Raina, Tanya Schmah · ArXiv: 2510.06025
2025-10-07
0
Sample complexity for divergence regularized optimal transport with radial cost
By Ruiyu Han, Johannes Wiesel · ArXiv: 2510.05685
2026-03-20
0
When Do Credal Sets Stabilize? Fixed-Point Theorems for Credal Set Updates
By Michele Caprio, Siu Lun Chau, Krikamol Mu · ArXiv: 2510.04769
2026-02-04
0
Domain Generalization Under Posterior Drift
By Yilun Zhu, Naihao Deng, Naichen Shi · ArXiv: 2510.04441
2026-02-04
0
Long-Term Mapping of the Douro River Plume with Multi-Agent Reinforcement Learning
By Nicolò Dal Fabbro, Milad Mesbahi, Renato Mendes · ArXiv: 2510.03534
2026-02-10
0
Learning a distance measure from the information-estimation geometry of data
By Guy Ohayon, Pierre-Etienne H. Fiquet, Florentin Guth · ArXiv: 2510.02514
2026-02-06
0
Flatness-Aware Stochastic Gradient Langevin Dynamics
By Stefano Bruno, Youngsik Hwang, Jaehyeon An · ArXiv: 2510.02174
2026-02-02
0
Predictively Oriented Posteriors
By Yann McLatchie, Badr-Eddine Cherief-Abdellatif, David T. Frazier · ArXiv: 2510.01915
2026-02-20
0
Optimal smoothing parameter in Eilers-Whittaker smoother
By Roberto Bernal-Arencibia, Karel Garcia Medina, Ernesto Estevez-Rams · ArXiv: 2510.01798
2026-02-09
0
AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees
By Hongyi Zhou, Jin Zhu, Pingfan Su · ArXiv: 2510.01268
2026-02-01
0
Bayesian Neural Networks for Functional ANOVA model
By Seokhun Park, Choeun Kim, Jihu Lee · ArXiv: 2510.00545
2026-02-20
0
A universal compression theory for lottery ticket hypothesis and neural scaling laws
By Hong-Yi Wang, Di Luo, Tomaso Poggio · ArXiv: 2510.00504
2026-03-02
0
On the Adversarial Robustness of Learning-based Conformal Novelty Detection
By Daofu Zhang, Mehrdad Pournaderi, Hanne M. Clifford · ArXiv: 2510.00463
2026-02-20
0
Lipschitz Bandits with Stochastic Delayed Feedback
By Zhongxuan Liu, Yue Kang, Thomas C. M. Lee · ArXiv: 2510.00309
2026-02-11
0
EVODiff: Entropy-aware Variance Optimized Diffusion Inference
By Shigui Li, Wei Chen, Delu Zeng · ArXiv: 2509.26096
2026-02-03
0
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields
By Rui-Yang Zhang, Henry B. Moss, Lachlan Astfalck · ArXiv: 2509.26005
2026-02-02
0
Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State Access
By Daniel Ebi, Gaspard Lambrechts, Damien Ernst · ArXiv: 2509.26000
2026-02-05
0
Sharpness of Minima in Deep Matrix Factorization
By Anil Kamber, Rahul Parhi · ArXiv: 2509.25783
2026-02-04
0
Gradient Descent with Large Step Sizes: Chaos and Fractal Convergence Region
By Shuang Liang, Guido Montúfar · ArXiv: 2509.25351
2026-02-08
1
GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models
By Peter Holderrieth, Uriel Singer, Tommi Jaakkola · ArXiv: 2509.25170
2026-02-11
0
Single-Head Attention in High Dimensions: A Theory of Generalization, Weights Spectra, and Scaling Laws
By Fabrizio Boncoraglio, Vittorio Erba, Emanuele Troiani · ArXiv: 2509.24914
2026-02-02
0
Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime
By Leonardo Defilippis, Yizhou Xu, Julius Girardin · ArXiv: 2509.24882
2025-09-29
0
Singleton-Optimized Conformal Prediction
By Tao Wang, Yan Sun, Edgar Dobriban · ArXiv: 2509.24095
2026-02-03
0
Dense associative memory for Gaussian distributions
By Ch, an Tankala, Krishnakumar Balasubramanian · ArXiv: 2509.23162
2026-01-31
0