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8588 papers in Statistics
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DATE
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Sparse Bayesian Deep Functional Learning with Structured Region Selection
By Xiaoxian Zhu, Yingmeng Li, Shuangge Ma · ArXiv: 2602.20651
2026-03-02
0
On the Convergence of Stochastic Gradient Descent with Perturbed Forward-Backward Passes
By Boao Kong, Hengrui Zhang, Kun Yuan · ArXiv: 2602.20646
2026-02-24
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Scalable multitask Gaussian processes for complex mechanical systems with functional covariates
By Razak Christophe Sabi Gninkou, Andrés F. López-Lopera, Franck Massa · ArXiv: 2602.20640
2026-03-09
0
Amortized Bayesian inference for actigraph time sheet data from mobile devices
By Daniel Zhou, Sudipto Banerjee · ArXiv: 2602.20611
2026-02-24
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Characterizing Online and Private Learnability under Distributional Constraints via Generalized Smoothness
By Moïse Blanchard, Abhishek Shetty, Alex · ArXiv: 2602.20585
2026-02-24
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Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets
By Yiyang Lu, Haresh Jadav, Mohammad Pedramfar · ArXiv: 2602.20578
2026-02-24
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Local Fréchet regression with toroidal predictors
By Chang Jun Im, Jeong Min Jeon · ArXiv: 2602.20572
2026-02-24
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Stability and Generalization of Push-Sum Based Decentralized Optimization over Directed Graphs
By Yifei Liang, Yan Sun, Xiaochun Cao · ArXiv: 2602.20567
2026-02-24
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Standard Transformers Achieve the Minimax Rate in Nonparametric Regression with $C^{s,λ}$ Targets
By Yanming Lai, Defeng Sun · ArXiv: 2602.20555
2026-02-24
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Sample-efficient evidence estimation of score based priors for model selection
By Frederic Wang, Katherine L. Bouman · ArXiv: 2602.20549
2026-02-24
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Error-Controlled Borrowing from External Data Using Wasserstein Ambiguity Sets
By Yui Kimura, Shu Tamano · ArXiv: 2602.20503
2026-02-25
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Oracle-Robust Online Alignment for Large Language Models
By Zimeng Li, Mudit Gaur, Vaneet Aggarwal · ArXiv: 2602.20457
2026-02-24
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Posterior Mode Guided Dimension Reduction for Bayesian Model Averaging in Heavy-Tailed Linear Regression
By Shamriddha De, Joyee Ghosh · ArXiv: 2602.20448
2026-02-24
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Wasserstein Distributionally Robust Online Learning
By Guixian Chen, Salar Fattahi, Soroosh Shafiee · ArXiv: 2602.20403
2026-02-23
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cc-Shapley: Measuring Multivariate Feature Importance Needs Causal Context
By Jörg Martin, Stefan Haufe · ArXiv: 2602.20396
2026-03-27
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Selecting Optimal Variable Order in Autoregressive Ising Models
By Shiba Biswal, Marc Vuffray, Andrey Y. Lokhov · ArXiv: 2602.20394
2026-03-02
0
Detecting and Mitigating Group Bias in Heterogeneous Treatment Effects
By Joel Persson, Jurriën Bakker, Dennis Bohle · ArXiv: 2602.20383
2026-02-23
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Semi-parametric Bayesian inference under Neyman orthogonality
By Magid Sabbagh, David A. Stephens · ArXiv: 2602.20371
2026-02-23
0
Gap-Dependent Bounds for Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
By Haochen Zhang, Zhong Zheng, Lingzhou Xue · ArXiv: 2602.20297
2026-02-23
0
Discrete Diffusion with Sample-Efficient Estimators for Conditionals
By Karthik Elamvazhuthi, Abhijith Jayakumar, Andrey Y. Lokhov · ArXiv: 2602.20293
2026-02-27
0
Uncertainty-Aware Delivery Delay Duration Prediction via Multi-Task Deep Learning
By Stefan Faulkner, Reza Z, ehshahvar · ArXiv: 2602.20271
2026-02-23
0
Multiple Poisson-Dirichlet diffusions on generalized Kingman simplices
By Cristina Costantini, Matteo Ruggiero · ArXiv: 2602.20266
2026-02-23
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JUCAL: Jointly Calibrating Aleatoric and Epistemic Uncertainty in Classification Tasks
By Jakob Heiss, Sören Lambrecht, Jakob Weissteiner · ArXiv: 2602.20153
2026-02-23
0
Behavior Learning (BL): Learning Hierarchical Optimization Structures from Data
By Zhenyao Ma, Yue Liang, Dongxu Li · ArXiv: 2602.20152
2026-02-23
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Conformal Risk Control for Non-Monotonic Losses
By Anastasios N. Angelopoulos · ArXiv: 2602.20151
2026-02-23
0
Improving the Power of Bonferroni Adjustments under Joint Normality and Exchangeability
By Caleb Hiltunen, Yeonwoo Rho · ArXiv: 2602.20118
2026-02-23
0
Compound decisions and empirical Bayes via Bayesian nonparametrics
By Nikolaos Ignatiadis, Sid Kankanala · ArXiv: 2602.20115
2026-02-23
0
Estimators of different delta coefficients based on the unbiased estimator of the expected proportions of agreements
By A. Martín Andrés, M. Álvarez Hernández · ArXiv: 2602.20071
2026-02-23
0
A Theory of How Pretraining Shapes Inductive Bias in Fine-Tuning
By Nicolas Anguita, Francesco Locatello, Andrew M. Saxe · ArXiv: 2602.20062
2026-02-23
0
Covariance estimation for derivatives of functional data using an additive penalty in P-splines
By Yueyun Zhu, Steven Golovkine, Norma Bargary · ArXiv: 2602.20029
2026-02-23
0