Delphi.science

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1,244 records

Weak Poincaré inequalities for two-component Deterministic-scan Metropolis-within-Gibbs samplers
Mengxi Gao, Gareth O. Roberts, Andi Q. Wang
arXiv Source: arxiv.orgFeb 16, 2026stat.COscore 0
Block Empirical Likelihood Inference for Longitudinal Generalized Partially Linear Single-Index Models
Tianni Zhang, Yuyao Wang, Yu Lu, Mengfei Ran
arXiv Source: arxiv.orgFeb 16, 2026stat.MEscore 0
Why Self-Training Helps and Hurts: Denoising vs. Signal Forgetting
Mingqi Wu, Archer Y. Yang, Qiang Sun
arXiv Source: arxiv.orgFeb 15, 2026stat.MLscore 0
MPL-HMC: A Tunable Parameterized Leapfrog Framework for Robust Hamiltonian Monte Carlo
Sourabh Bhattacharya
arXiv Source: arxiv.orgFeb 15, 2026stat.COscore 0
Estimation and Inference of the Win Ratio for Two Hierarchical Endpoints Subject to Censoring and Missing Data
Yi Liu, Huiman Barnhart, Sean O'Brien, Yuliya Lokhnygina, Roland A. Matsouaka
arXiv Source: arxiv.orgFeb 14, 2026stat.MEscore 0
Linear Regression with Unknown Truncation Beyond Gaussian Features
Alexandros Kouridakis, Anay Mehrotra, Alkis Kalavasis, Constantine Caramanis
arXiv Source: arxiv.orgFeb 13, 2026stat.MLscore 0
Some bivariate distributions on a discrete torus with application to wind direction datasets
Brajesh Kumar Dhakad, Jayant Jha, Debepsita Mukherjee
arXiv Source: arxiv.orgFeb 13, 2026stat.MEscore 0
A unified testing approach for log-symmetry using Fourier methods
Ganesh Vishnu Avhad, Sudheesh K. Kattumannil
arXiv Source: arxiv.orgFeb 13, 2026stat.MEscore 0
Stratified Sampling for Model-Assisted Estimation with Surrogate Outcomes
Reagan Mozer, Nicole E. Pashley, Luke Miratrix
arXiv Source: arxiv.orgFeb 13, 2026stat.MEscore 0
Random Forests as Statistical Procedures: Design, Variance, and Dependence
Nathaniel S. O'Connell
arXiv Source: arxiv.orgFeb 13, 2026stat.MLscore 0
AdaGrad-Diff: A New Version of the Adaptive Gradient Algorithm
Matia Bojovic, Saverio Salzo, Massimiliano Pontil
arXiv Source: arxiv.orgFeb 13, 2026stat.MLscore 0
Detecting Parameter Instabilities in Functional Concurrent Linear Regression
Rupsa Basu, Sven Otto
arXiv Source: arxiv.orgFeb 13, 2026stat.MEscore 0
Representation Learning with Blockwise Missingness and Signal Heterogeneity
Ziqi Liu, Ye Tian, Weijing Tang
arXiv Source: arxiv.orgFeb 12, 2026stat.MEscore 0
Improving the adjusted Benjamini--Hochberg method using e-values in knockoff-assisted variable selection
Aniket Biswas, Aaditya Ramdas
arXiv Source: arxiv.orgFeb 12, 2026stat.MEscore 0
Provable Offline Reinforcement Learning for Structured Cyclic MDPs
Kyungbok Lee, Angelica Cristello Sarteau, Michael R. Kosorok
arXiv Source: arxiv.orgFeb 12, 2026stat.MLscore 0
Estimation of instrument and noise parameters for inverse problem based on prior diffusion model
Jean-François Giovannelli
arXiv Source: arxiv.orgFeb 12, 2026stat.MLscore 0
Batch-based Bayesian Optimal Experimental Design in Linear Inverse Problems
Sofia Mäkinen, Andrew B. Duncan, Tapio Helin
arXiv Source: arxiv.orgFeb 12, 2026stat.MEscore 0
Generalized Robust Adaptive-Bandwidth Multi-View Manifold Learning in High Dimensions with Noise
Xiucai Ding, Chao Shen, Hau-Tieng Wu
arXiv Source: arxiv.orgFeb 11, 2026stat.MLscore 0
From Collapse to Improvement: Statistical Perspectives on the Evolutionary Dynamics of Iterative Training on Contaminated Sources
Soham Bakshi, Sunrit Chakraborty
arXiv Source: arxiv.orgFeb 11, 2026stat.MLscore 0
Statistical Inference and Learning for Shapley Additive Explanations (SHAP)
Justin Whitehouse, Ayush Sawarni, Vasilis Syrgkanis
arXiv Source: arxiv.orgFeb 11, 2026stat.MLscore 0
Robust Assortment Optimization from Observational Data
Miao Lu, Yuxuan Han, Han Zhong, Zhengyuan Zhou, Jose Blanchet
arXiv Source: arxiv.orgFeb 11, 2026stat.MLscore 0
A closed form solution for Bayesian analysis of a simple linear mixed model
Hilde Vinje, Lars Erik Gangsei
arXiv Source: arxiv.orgFeb 11, 2026stat.MEscore 0
Optimal Initialization in Depth: Lyapunov Initialization and Limit Theorems for Deep Leaky ReLU Networks
Constantin Kogler, Tassilo Schwarz, Samuel Kittle
arXiv Source: arxiv.orgFeb 11, 2026stat.MLscore 0
Constrained Fiducial Inference for Gaussian Models
Hank Flury, Jan Hannig, Richard Smith
arXiv Source: arxiv.orgFeb 11, 2026stat.MEscore 0
Large Scale High-Dimensional Reduced-Rank Linear Discriminant Analysis
Jocelyn T. Chi
arXiv Source: arxiv.orgFeb 11, 2026stat.COscore 0
Is Memorization Helpful or Harmful? Prior Information Sets the Threshold
Chen Cheng, Rina Foygel Barber
arXiv Source: arxiv.orgFeb 10, 2026stat.MLscore 0
The Catastrophic Failure of The k-Means Algorithm in High Dimensions, and How Hartigan's Algorithm Avoids It
Roy R. Lederman, David Silva-Sánchez, Ziling Chen, Gilles Mordant, Amnon Balanov, Tamir Bendory
arXiv Source: arxiv.orgFeb 10, 2026stat.MLscore 0
Online Selective Conformal Prediction with Asymmetric Rules: A Permutation Test Approach
Mingyi Zheng, Ying Jin
arXiv Source: arxiv.orgFeb 10, 2026stat.MEscore 0
Estimating the Shannon Entropy Using the Pitman--Yor Process
Takato Hashino, Koji Tsukuda
arXiv Source: arxiv.orgFeb 9, 2026stat.MEscore 0
Schrödinger bridge problem via empirical risk minimization
Denis Belomestny, Alexey Naumov, Nikita Puchkin, Denis Suchkov
arXiv Source: arxiv.orgFeb 9, 2026stat.MLscore 0
Stochastic EM Estimation and Inference for Zero-Inflated Beta-Binomial Mixed Models for Longitudinal Count Data
John Barrera, Ana Arribas-Gil, Dae-Jin Lee, Cristian Meza
arXiv Source: arxiv.orgFeb 9, 2026stat.MEscore 0
Fast Model Selection and Stable Optimization for Softmax-Gated Multinomial-Logistic Mixture of Experts Models
TrungKhang Tran, TrungTin Nguyen, Md Abul Bashar, Nhat Ho, Richi Nayak, Christopher Drovandi
arXiv Source: arxiv.orgFeb 8, 2026stat.MLscore 0
Coherent Information Deletion: Bayesian, Generalized Bayesian and Possibilistic Unlearning
Hans Montcho, Håvard Rue, Maurizio Filippone
arXiv Source: arxiv.orgFeb 8, 2026stat.MEscore 0
Adaptive Experimental Design Using Shrinkage Estimators
Evan T. R. Rosenman, Kristen B. Hunter
arXiv Source: arxiv.orgFeb 7, 2026stat.MEscore 0
Finite-Particle Rates for Regularized Stein Variational Gradient Descent
Ye He, Krishnakumar Balasubramanian, Sayan Banerjee, Promit Ghosal
arXiv Source: arxiv.orgFeb 5, 2026stat.MLscore 0
Total Variation Rates for Riemannian Flow Matching
Yunrui Guan, Krishnakumar Balasubramanian, Shiqian Ma
arXiv Source: arxiv.orgFeb 5, 2026stat.MLscore 0
Radon--Wasserstein Gradient Flows for Interacting-Particle Sampling in High Dimensions
Elias Hess-Childs, Dejan Slepčev, Lantian Xu
arXiv Source: arxiv.orgFeb 5, 2026stat.MLscore 0
Logarithmic-time Schedules for Scaling Language Models with Momentum
Damien Ferbach, Courtney Paquette, Gauthier Gidel, Katie Everett, Elliot Paquette
arXiv Source: arxiv.orgFeb 5, 2026stat.MLscore 0
A Flexible Modeling of Extremes in the Presence of Inliers
Shivshankar Nila, Ishapathik Das, N. Balakrishna
arXiv Source: arxiv.orgFeb 5, 2026stat.MEscore 0
Piecewise Deterministic Markov Processes for Bayesian Inference of PDE Coefficients
Leon Riccius, Iuri B. C. M. Rocha, Joris Bierkens, Hanne Kekkonen, Frans P. van der Meer
arXiv Source: arxiv.orgFeb 5, 2026stat.COscore 0
Fast Rates for Nonstationary Weighted Risk Minimization
Tobias Brock, Thomas Nagler
arXiv Source: arxiv.orgFeb 5, 2026stat.MLscore 0
Distribution-free two-sample testing with blurred total variation distance
Rohan Hore, Rina Foygel Barber
arXiv Source: arxiv.orgFeb 5, 2026stat.MLscore 0
Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity
Hengrui Luo, Anna Ma, Ludovic Stephan, Yizhe Zhu
arXiv Source: arxiv.orgFeb 5, 2026stat.MLscore 0
Diffusion Model's Generalization Can Be Characterized by Inductive Biases toward a Data-Dependent Ridge Manifold
Ye He, Yitong Qiu, Molei Tao
arXiv Source: arxiv.orgFeb 5, 2026stat.MLscore 0
Robustness Verification of Polynomial Neural Networks
Yulia Alexandr, Hao Duan, Guido Montúfar
arXiv Source: arxiv.orgFeb 5, 2026stat.MLscore 0
Accurate and Efficient Approximation of the Null Distribution of Rao's Spacing Test
Yoshiki Kinoshita, Aya Shinozaki, Toshinari Kamakura
arXiv Source: arxiv.orgFeb 4, 2026stat.MEscore 0
Unit Shiha Distribution and its Applications to Engineering and Medical Data
F. A. Shiha
arXiv Source: arxiv.orgFeb 4, 2026stat.MEscore 0
Performative Learning Theory
Julian Rodemann, Unai Fischer-Abaigar, James Bailie, Krikamol Muandet
arXiv Source: arxiv.orgFeb 4, 2026stat.MLscore 0
Bayesian Methods for the Navier-Stokes Equations
Nicholas Polson, Vadim Sokolov
arXiv Source: arxiv.orgFeb 3, 2026stat.COscore 0
Unified Inference Framework for Single and Multi-Player Performative Prediction: Method and Asymptotic Optimality
Zhixian Zhang, Xiaotian Hou, Linjun Zhang
arXiv Source: arxiv.orgFeb 3, 2026stat.MLscore 0