vix.ing · top · new · best · stats · spec
  1. Estimating dynamic models by matching random features
    2026/07/24 by Michael Wieck-Sosa, Cosma Rohilla Shalizi · 1 voice
    #stat.ME #math.ST #nlin.CD #physics.data-an #stat.TH
  2. Unified theory of classical and quantum semiparametric efficiency
    2026/07/23 by Mankei Tsang · 1 voice
    #quant-ph #math.ST
  3. Lipschitzian SLLNs for random functions
    2026/07/22 by Lai Tian, Johannes O. Royset · 1 voice
    #math.OC #cs.LG #math.ST #stat.TH
  4. Denoising Subordinated Probabilistic Models: Diffusion with a Tempered-Stable Volatility Clock, and What the Noise Mechanism Actually Controls
    2026/07/21 by Junchi Shen, Helin Zhao · 1 voice
    #q-fin.MF #math.ST #stat.TH
  5. Gaffke's confidence interval for the mean of bounded data is inadmissible but asymptotically efficient
    2026/07/21 by Jiahao Ming, Aaditya Ramdas, Yi Shen +2 · 3 citations
    #math.ST #cs.IT #eess.SP #math.IT #math.PR #stat.ME #stat.TH
  6. How Fast Do Signatures Learn? Statistical Theory and Applications for Path Regression
    2026/07/20 by Blanka Horvath, Wen Su, Wu Su +2 · 1 citation
    #math.ST #stat.ME #stat.ML #stat.TH
  7. Spectral Concentration and Recovery in Sparse High-Dimensional Random Geometric Graphs
    2026/07/15 by Manuel Fernandez V, Yizhe Zhu · 1 citation
    #stat.ML #cs.LG #math.PR #math.ST #stat.TH
  8. Causal Graphs, Markov Properties and Do-calculus for Stochastic Differential Equations
    2026/07/13 by Philip Boeken, Joris M. Mooij · 1 citation
    #math.ST #stat.ML #stat.TH
  9. Towards a Geometric Characterization of Multiverse Analysis
    2026/07/13 by Giovanni Saraceno, Antonio Calcagnì · 2 voices
    #stat.ME #math.ST #stat.AP
  10. Deep Gaussian Processes on Directed Acyclic Graphs
    2026/07/10 by Federico L. Perlino, Oliver Hamelijnck, Adam M. Johansen +1 · 1 voice
    #stat.ML #cs.LG #math.ST #stat.CO #stat.ME
  11. Evidence-Aware MapReduce for Forkable Compute
    2026/06/17 by Yossi Eliaz · 1 voice
    #cs.AI #math.PR #math.ST #stat.TH
  12. Formalization of the generalized Pareto principle and structural typicality of the 20/80-rule
    2026/02/11 by Antti Hippeläinen · 1 voice
    Physics and Astronomy · Mathematics · #physics.soc-ph #math.ST
  13. AI4SLT: Empirical Processes in Lean 4 for Formal Statistical Learning Theory
    2026/02/02 by Yuanhe Zhang, Jason D. Lee, Fanghui Liu · 1 voice · 1 citation
    #cs.LG #cs.CL #math.ST
  14. A transport approach to the cutoff phenomenon
    2025/09/10 by Francesco Pedrotti, Pedrotti, Francesco, Justin Salez +1 · 1 voice · 1 citation
    #math.PR #math.AP #math.ST #stat.ML
  15. Think before you fit: parameter identifiability, sensitivity and uncertainty in systems biology models
    2025/08/26 by Simon P. Preston, Preston, Simon P., Richard D. Wilkinson +7 · 3 voices · 5 citations
    #stat.ME #math.ST #q-bio.QM #stat.AP
  16. Simple and Sharp Generalization Bounds via Lifting
    2025/08/26 by Jingbo Liu, Liu, Jingbo · 1 voice · 2 citations
    #math.ST
  17. Dimension-Free Bounds for Generalized First-Order Methods via Gaussian Coupling
    2025/08/14 by Galen Reeves, Reeves, Galen · 1 voice · 2 citations
    #stat.ML #math.PR #math.ST
  18. Estimating the size of a set using cascading exclusion
    2025/08/07 by Sourav Chatterjee, Chatterjee, Sourav, Persi Diaconis +3 · 2 voices · 1 citation
    #math.ST #cs.IT #math.PR #stat.ML
  19. False discovery rate control with compound p-values
    2025/07/29 by Rina Foygel Barber, Richard J Samworth, Barber, Rina Foygel +1 · 1 voice · 1 citation
    #math.ST #stat.ME
  20. Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives
    2025/06/23 by Sivaraman Balakrishnan, Balakrishnan, Sivaraman, Tudor Manole +3 · 1 voice · 1 citation
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST) #cs.AI #cs.LG #math.ST #stat.ME #stat.ML
  21. Gaussian Processes and Reproducing Kernels: Connections and Equivalences
    2025/06/20 by Motonobu Kanagawa, Kanagawa, Motonobu, Philipp Hennig +5 · 3 voices · 4 citations
    #stat.ML #cs.LG #math.NA #math.PR #math.ST
  22. The Strong, Weak and Benign Goodhart's law. An independence-free and paradigm-agnostic formalisation
    2025/05/29 by Adrien Majka, Majka, Adrien, El-Mahdi El-Mhamdi +1 · 1 voice · 2 citations
    Computer Science · Social Sciences · #Computational and Text Analysis Methods #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #cs.LG #math.ST #stat.ML
  23. A new measure of dependence: Integrated R2
    2025/05/23 by Mona Azadkia, Pouya Roudaki, Azadkia, Mona +1 · 1 voice · 4 citations
    Computer Science · Mathematics · #62H15 #62H20 #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Methodology (stat.ME) #Probability (math.PR) #Statistics Theory (math.ST) #cs.IT #math.PR #math.ST #stat.ME
  24. PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
    2025/05/13 by Abhineet Agarwal, Agarwal, Abhineet, Fange Xiao +9 · 3 citations
    #stat.ML #cs.LG #math.ST #stat.ME #stat.TH
  25. Foundations of locally-balanced Markov processes
    2025/04/17 by Samuel Livingstone, Giorgos Vasdekis, Livingstone, Samuel +3 · 1 voice · 1 citation
    #math.PR #math.ST
  26. Query Complexity of Classical and Quantum Channel Discrimination
    2025/04/17 by Theshani Nuradha, Nuradha, Theshani, Mark M. Wilde +1 · 1 voice · 2 citations
    Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Quantum Physics (quant-ph) #Statistics Theory (math.ST) #cs.IT #cs.LG #math.ST #quant-ph
  27. Rebalancing Markov jump processes for non-reversible continuous-time sampling
    2025/04/16 by Erik Jansson, Jansson, Erik, Moritz Schauer +5 · 2 voices
    Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Target Tracking and Data Fusion in Sensor Networks #math.ST #stat.CO
  28. Unifying Different Theories of Conformal Prediction
    2025/04/03 by Rina Foygel Barber, Ryan J. Tibshirani, Barber, Rina Foygel +1 · 1 voice · 3 citations
    #math.ST
  29. Empirical Measures and Strong Laws of Large Numbers in Categorical Probability
    2025/03/27 by Tobias Fritz, Tomáš Gonda, Fritz, Tobias +7 · 1 voice · 3 citations
    #math.PR #cs.LO #math.CT #math.ST
  30. Nonparametric Factor Analysis and Beyond
    2025/03/21 by Yujia Zheng, Zheng, Yujia, Yang Liu +7 · 1 voice · 2 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST) #cs.LG #math.ST #stat.ML

more