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8841 papers in Statistics
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Complexity of normalized stochastic first-order methods with momentum under heavy-tailed noise
By Chuan He, Zhaosong Lu, Defeng Sun · ArXiv: 2506.11214
2026-02-11
0
A composition of simplified physics-based model with neural operator for trajectory-level seismic response predictions of structural systems
By Jungho Kim, Sang-ri Yi, Ziqi Wang · ArXiv: 2506.10569
2025-10-31
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Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
By Ruiyang Lin, Yongyi Guo, Kyra Gan · ArXiv: 2506.09871
2026-02-05
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Scaling Laws for Uncertainty in Deep Learning
By Mattia Rosso, Simone Rossi, Giulio Franzese · ArXiv: 2506.09648
2026-02-09
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Diffusion Models under Alternative Noise: Simplified Analysis and Sensitivity
By Juhyeok Choi, Chenglin Fan · ArXiv: 2506.08337
2026-01-29
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Efficient and Robust Block Designs for Order-of-Addition Experiments
By Chang-Yun Lin · ArXiv: 2506.07096
2026-02-03
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Graph Persistence goes Spectral
By Mattie Ji, Amauri H. Souza, Vikas Garg · ArXiv: 2506.06571
2026-02-04
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Tokenization Multiplicity Leads to Arbitrary Price Variation in LLM-as-a-service
By Ivi Chatzi, Nina Corvelo Benz, Stratis Tsirtsis · ArXiv: 2506.06446
2026-01-30
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Antithetic Noise in Diffusion Models
By Jing Jia, Sifan Liu, Bowen Song · ArXiv: 2506.06185
2026-01-30
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Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows
By Francesca R. Crucinio, Sahani Pathiraja · ArXiv: 2506.05905
2026-02-10
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Analyzing the retraining frequency of global forecasting models: towards more stable forecasting systems
By Marco Zanotti · ArXiv: 2506.05776
2026-02-10
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Lions and Muons: Optimization via Stochastic Frank-Wolfe
By Maria-Eleni Sfyraki, Jun-Kun Wang · ArXiv: 2506.04192
2026-01-31
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Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models
By Benjamin Dupuis, Dario Shariatian, Maxime Haddouche · ArXiv: 2506.03849
2026-02-09
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Two-Phase Treatment with Noncompliance: Identifying the Cumulative Average Treatment Effect via Multisite Instrumental Variables
By Guanglei Hong, Xu Qin, Zhengyan Xu · ArXiv: 2506.03104
2026-01-30
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Safely Learning Controlled Stochastic Dynamics
By Luc Brogat-Motte, Aless, ro Rudi · ArXiv: 2506.02754
2026-02-02
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Generalized Gradient Norm Clipping & Non-Euclidean $(L_0,L_1)$-Smoothness
By Thomas Pethick, Wanyun Xie, Mete Erdogan · ArXiv: 2506.01913
2026-02-04
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Bayes optimal learning of attention-indexed models
By Fabrizio Boncoraglio, Emanuele Troiani, Vittorio Erba · ArXiv: 2506.01582
2026-02-02
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Assessing Honey Bee Colony Health Using Temperature Time Series
By Karina Arias-Calluari, Theotime Colin, Tanya Latty · ArXiv: 2506.00602
2025-05-31
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Generalization Dynamics of Linear Diffusion Models
By Claudia Merger, Sebastian Goldt · ArXiv: 2505.24769
2026-01-30
0
Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation
By Alessio Giorl, ino, Sebastian Goldt · ArXiv: 2505.24333
2026-02-09
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On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks
By Mingze Wang, Weinan E · ArXiv: 2505.24205
2026-02-18
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On Transferring Transferability: Towards a Theory for Size Generalization
By Eitan Levin, Yuxin Ma, Mateo Díaz · ArXiv: 2505.23599
2026-02-11
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Position: Epistemic uncertainty estimation methods are fundamentally incomplete
By Sebastián Jiménez, Mira Jürgens, Willem Waegeman · ArXiv: 2505.23506
2026-02-06
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A Computational Approach to Improving Fairness in K-means Clustering
By Guancheng Zhou, Haiping Xu, Hongkang Xu · ArXiv: 2505.22984
2025-05-31
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IGNIS: A Robust Neural Network Framework for Constrained Parameter Estimation in Archimedean Copulas
By Agnideep Aich · ArXiv: 2505.22518
2026-02-02
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PolarGrad: A Class of Matrix-Gradient Optimizers from a Unifying Preconditioning Perspective
By Tim Tsz-Kit Lau, Qi Long, Weijie Su · ArXiv: 2505.21799
2026-02-05
0
Input Convex Kolmogorov Arnold Networks
By Thomas Deschatre, Xavier Warin · ArXiv: 2505.21208
2026-02-10
0
Performance of prior event rate ratio method in the presence of differential mortality or dropout
By Yin Bun Cheung, Xiangmei Ma · ArXiv: 2505.20757
2026-02-02
0
SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
By Michael Kirchhof, Luca Füger, Adam Goliński · ArXiv: 2505.20295
2026-02-05
0
Model Agnostic Differentially Private Causal Inference
By Christian Janos Lebeda, Mathieu Even, Aurélien Bellet · ArXiv: 2505.19589
2026-01-30
0