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8800 papers in Statistics
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TITLE
DATE
VIEWS
Adapting Noise to Data: Generative Flows from 1D Processes
By Jannis Chemseddine, Gregor Kornhardt, Richard Duong · ArXiv: 2510.12636
2026-02-10
0
The Living Forecast: Evolving Day-Ahead Predictions into Intraday Reality
By Kutay Bölat, Peter Palensky, Simon Tindemans · ArXiv: 2510.12271
2026-03-13
0
Mamba Can Learn Low-Dimensional Targets In-Context via Test-Time Feature Learning
By Junsoo Oh, Wei Huang, Taiji Suzuki · ArXiv: 2510.12026
2026-02-12
0
Directional replicability: when can the factor of two be omitted
By Vera Djordjilović, Tamar Sofer, Jonathan M. Dreyfuss · ArXiv: 2510.11273
2025-10-13
0
Tight Robustness Certificates and Wasserstein Distributional Attacks for Deep Neural Networks
By Bach C. Le, Tung V. Dao, Binh T. Nguyen · ArXiv: 2510.10000
2026-02-03
0
Myopic Bayesian Decision Theory for Batch Active Learning with Partial Batch Label Sampling
By Kangping Hu, Stephen Mussmann · ArXiv: 2510.09877
2026-01-31
0
A Unified Framework for Lifted Training and Inversion Approaches
By Xiaoyu Wang, Alex, ra Valavanis · ArXiv: 2510.09796
2026-02-06
0
A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization
By Hideaki Kim, Tomoharu Iwata · ArXiv: 2510.08916
2026-02-05
0
Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
By Kevin Rojas, Jiahe Lin, Kashif Rasul · ArXiv: 2510.08554
2026-02-11
0
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