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TITLE
DATE
VIEWS
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
Order-Induced Variance in the Moving-Range Sigma Estimator: A Total-Variance Decomposition
By Andrew T. Karl · ArXiv: 2602.20007
2026-03-10
0
Change point analysis of high-dimensional data using random projections
By Yi Xu, Yeonwoo Rho · ArXiv: 2602.19988
2026-03-02
0
On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference
By Moritz A. Zanger, Yijun Wu, Pascal R. Van der Vaart · ArXiv: 2602.19964
2026-02-26
0
A Two-Step Spatio-Temporal Framework for Turbine-Height Wind Estimation at Unmonitored Sites from Sparse Meteorological Data
By Eamonn Organ, Maeve Upton, Denis Allard · ArXiv: 2602.19954
2026-02-23
0
A Bayesian Framework for Post-disruption Travel Time Prediction in Metro Networks
By Shayan Nazemi, Aurélie Labbe, Stefan Steiner · ArXiv: 2602.19952
2026-02-23
0
Transfer Learning with Network Embeddings under Structured Missingness
By Mengyan Li, Xiaoou Li, Kenneth D M · ArXiv: 2602.19922
2026-02-23
0
Rethinking Chronological Causal Discovery with Signal Processing
By Kurt Butler, Damian Machlanski, Panagiotis Dimitrakopoulos · ArXiv: 2602.19903
2026-02-23
0
Generalized Random Direction Newton Algorithms for Stochastic Optimization
By Soumen Pachal, Prashanth L. A., Shalabh Bhatnagar · ArXiv: 2602.19893
2026-02-23
0
Dirichlet Scale Mixture Priors for Bayesian Neural Networks
By August Arnstad, Leiv Rønneberg, Geir Storvik · ArXiv: 2602.19859
2026-02-23
0
Orthogonal Uplift Learning with Permutation-Invariant Representations for Combinatorial Treatments
By Xinyan Su, Jiacan Gao, Mingyuan Ma · ArXiv: 2602.19851
2026-02-23
0
Addressing parity blindness of data-driven Sobolev tests on the hypersphere
By Marcio Reverbel · ArXiv: 2602.19839
2026-02-23
0
Optimality of the Half-Order Exponent in the Turing-Good Identities for Bayes Factors
By Kensuke Okada · ArXiv: 2602.19838
2026-02-23
0
From Asymptotic to Finite-Sample Minimax Robust Hypothesis Testing
By Gökhan Gül · ArXiv: 2602.19803
2026-02-23
0
Path-conditioned training: a principled way to rescale ReLU neural networks
By Arthur Lebeurrier, Titouan Vayer, Rémi Gribonval · ArXiv: 2602.19799
2026-02-23
0
Drift Localization using Conformal Predictions
By Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf · ArXiv: 2602.19790
2026-02-23
0
Unsupervised Anomaly Detection in NSL-KDD Using $β$-VAE: A Latent Space and Reconstruction Error Approach
By Dylan Baptiste, Ramla Saddem, Alex · ArXiv: 2602.19785
2026-02-23
0
Spatio-temporal modeling of urban extreme rainfall events at high resolution
By Chloé Serre-Combe, Nicolas Meyer, Thomas Opitz · ArXiv: 2602.19774
2026-02-23
0
Ensemble Machine Learning and Statistical Procedures for Dynamic Predictions of Time-to-Event Outcomes
By Nina van Gerwen, Sten Willemsen, Bettina E. Hansen · ArXiv: 2602.19761
2026-02-23
0
Volatility Spillovers in China's Real Estate Crisis: A Network Approach
By Julia Manso · ArXiv: 2602.19740
2026-02-23
0
Individualized Causal Effects under Network Interference with Combinatorial Treatments
By Yunping Lu, Haoang Chi, Qirui Hu · ArXiv: 2602.19738
2026-02-23
0
On Expectation Propagation and the Probabilistic Editor in some simple mixture problems
By Nils Lid Hjort, Mike Titterington · ArXiv: 2602.19709
2026-02-23
0
Testing Effect Homogeneity and Confounding in High-Dimensional Experimental and Observational Studies
By Ana Armendariz, Martin Huber · ArXiv: 2602.19703
2026-02-23
0
Smoothness Adaptivity in Constant-Depth Neural Networks: Optimal Rates via Smooth Activations
By Yuhao Liu, Zilin Wang, Lei Wu · ArXiv: 2602.19691
2026-02-28
0
The impact of class imbalance in logistic regression models for low-default portfolios in credit risk
By Willem D. Schutte, Charl Pretorius, Neill Smit · ArXiv: 2602.19663
2026-02-23
1
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