Statistics
8758 papers in Statistics
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TITLE
DATE
VIEWS
Axiomatic Foundations of Counterfactual Explanations
By Leila Amgoud, Martin Cooper · ArXiv: 2602.04028
2026-02-03
0
Group Contrastive Learning for Weakly Paired Multimodal Data
By Aditya Gorla, Hugues Van Assel, Jan-Christian Huetter · ArXiv: 2602.04021
2026-02-03
0
Robust Nonparametric Two-Sample Tests via Mutual Information using Extended Bregman Divergence
By Arijit Pyne · ArXiv: 2602.04010
2026-02-03
0
Doubly-Robust Bayesian Estimation of Optimal Individualized Treatment Rules using Network Meta-Analysis
By Augustine Wigle, Erica E. M. Moodie · ArXiv: 2602.03985
2026-02-03
0
Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors
By Kapilan Balagopalan, Yinan Li, Yao Zhao · ArXiv: 2602.03972
2026-02-18
0
Statistical Guarantees for Reasoning Probes on Looped Boolean Circuits
By Anastasis Kratsios, Giulia Livieri, A. Martina Neuman · ArXiv: 2602.03970
2026-02-09
0
Learning Multi-type heterogeneous interacting particle systems
By Quanjun Lang, Xiong Wang, Fei Lu · ArXiv: 2602.03954
2026-02-03
0
Privacy utility trade offs for parameter estimation in degree heterogeneous higher order networks
By Bibhabasu M, al, Sagnik N · ArXiv: 2602.03948
2026-02-03
0
Tsallis Entropy derived from the Chaitin-Kolmogorov Informational Entropy
By Airton Deppman · ArXiv: 2602.03919
2026-02-03
0
Causal Discovery for Cross-Sectional Data Based on Super-Structure and Divide-and-Conquer
By Wenyu Wang, Yaping Wan · ArXiv: 2602.03914
2026-02-03
0
The Role of Target Update Frequencies in Q-Learning
By Simon Weissmann, Tilman Aach, Benedikt Wille · ArXiv: 2602.03911
2026-02-03
0
GeoIB: Geometry-Aware Information Bottleneck via Statistical-Manifold Compression
By Weiqi Wang, Zhiyi Tian, Chenhan Zhang · ArXiv: 2602.03906
2026-02-03
0
Byzantine Machine Learning: MultiKrum and an optimal notion of robustness
By Gilles Bareilles, Wassim Bouaziz, Julien Fageot · ArXiv: 2602.03899
2026-02-03
0
A Hitchhiker's Guide to Poisson Gradient Estimation
By Michael Ibrahim, Hanqi Zhao, Eli Sennesh · ArXiv: 2602.03896
2026-02-03
0
Transcendental Regularization of Finite Mixtures:Theoretical Guarantees and Practical Limitations
By Ernest Fokoué · ArXiv: 2602.03889
2026-02-03
0
Preference-based Conditional Treatment Effects and Policy Learning
By Dovid Parnas, Mathieu Even, Julie Josse · ArXiv: 2602.03823
2026-02-03
0
Fast Sampling for Flows and Diffusions with Lazy and Point Mass Stochastic Interpolants
By Gabriel Damsholt, Jes Frellsen, Susanne Ditlevsen · ArXiv: 2602.03789
2026-02-03
0
Bayesian variable and hazard structure selection in the General Hazard model
By Yulong Chen, Jim Griffin, Francisco Javier Rubio · ArXiv: 2602.03756
2026-02-03
0
On the compatibility between the spatial moments and the codomain of a real random field
By Xavier Emery, Christian Lantuéjoul · ArXiv: 2602.03740
2026-02-03
0
Efficient Variance-reduced Estimation from Generative EHR Models: The SCOPE and REACH Estimators
By Luke Solo, Matthew B. A. McDermott, William F. Parker · ArXiv: 2602.03730
2026-02-03
0
Anytime Pretraining: Horizon-Free Learning-Rate Schedules with Weight Averaging
By Alex, ru Meterez, Pranav Ajit Nair · ArXiv: 2602.03702
2026-02-03
0
Universal One-third Time Scaling in Learning Peaked Distributions
By Yizhou Liu, Ziming Liu, Cengiz Pehlevan · ArXiv: 2602.03685
2026-02-03
0
Improved Analysis of the Accelerated Noisy Power Method with Applications to Decentralized PCA
By Pierre Aguié, Mathieu Even, Laurent Massoulié · ArXiv: 2602.03682
2026-02-03
0
Simulation-Based Inference via Regression Projection and Batched Discrepancies
By Arya Farahi, Jonah Rose, Paul Torrey · ArXiv: 2602.03613
2026-02-03
0
Generator-based Graph Generation via Heat Diffusion
By Anthony Stephenson, Ian Gallagher, Christopher Nemeth · ArXiv: 2602.03612
2026-02-03
0
Scalable non-separable spatio-temporal Gaussian process models for large-scale short-term weather prediction
By Tim Gyger, Reinhard Furrer, Fabio Sigrist · ArXiv: 2602.03609
2026-02-11
1
Riemannian Neural Optimal Transport
By Aless, ro Micheli, Yueqi Cao · ArXiv: 2602.03566
2026-02-03
0
Optimal neural network approximation of smooth compositional functions on sets with low intrinsic dimension
By Thomas Nagler, Sophie Langer · ArXiv: 2602.03539
2026-02-05
0
A Function-Space Stability Boundary for Generalization in Interpolating Learning Systems
By Ronald Katende · ArXiv: 2602.03514
2026-02-10
0
Kriging for large datasets via penalized neighbor selection
By Francisco Cuevas-Pacheco, Jonathan Acosta · ArXiv: 2602.03483
2026-02-03
0