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TITLE
DATE
VIEWS
The Global Representativeness Index: A Total Variation Distance Framework for Measuring Demographic Fidelity in Survey Research
By Evan Hadfield, Andrew Konya · ArXiv: 2602.14835
2026-02-19
0
Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities
By Richard D. Paul, Anton Stratmann, Johann F. Jadebeck · ArXiv: 2602.14616
2026-02-16
1
Metabolic cost of information processing in Poisson variational autoencoders
By Hadi Vafaii, Jacob L. Yates · ArXiv: 2602.13421
2026-02-13
1
A new mixture model for spatiotemporal exceedances with flexible tail dependence
By Ryan Li, Emily C. Hector, Brian J. Reich · ArXiv: 2602.13158
2026-02-18
0
Modelling multivariate ordinal time series using pairwise likelihood
By Anna Nalpantidi, Dimitris Karlis · ArXiv: 2602.12702
2026-02-13
0
Flow Matching from Viewpoint of Proximal Operators
By Kenji Fukumizu, Wei Huang, Han Bao · ArXiv: 2602.12683
2026-03-20
0
Conjugating Variational Inference for Large Mixed Multinomial Logit Models and Consumer Choice
By Weiben Zhang, Ruben Loaiza-Maya, Michael Stanley Smith · ArXiv: 2602.12577
2026-02-19
0
Batch-based Bayesian Optimal Experimental Design in Linear Inverse Problems
By Sofia Mäkinen, Andrew B. Duncan, Tapio Helin · ArXiv: 2602.12234
2026-02-12
0
Bayesian inference for the automultinomial model with an application to landcover data
By Maria Paula Duenas-Herrera, Stephen Berg, Murali Haran · ArXiv: 2602.12216
2026-02-12
0
On the Complexity of Offline Reinforcement Learning with $Q^\star$-Approximation and Partial Coverage
By Haolin Liu, Braham Snyder, Chen-Yu Wei · ArXiv: 2602.12107
2026-02-12
0
Empirical Gaussian Processes
By Jihao Andreas Lin, Sebastian Ament, Louis C. Tiao · ArXiv: 2602.12082
2026-02-12
0
Enhanced Forest Inventories for Habitat Mapping: A Case Study in the Sierra Nevada Mountains of California
By Maxime Turgeon, Michael Kieser, Dwight Wolfe · ArXiv: 2602.12072
2026-02-12
0
Improved Inference for CSDID Using the Cluster Jackknife
By Sunny R. Karim, Morten Ørregaard Nielsen, James G. MacKinnon · ArXiv: 2602.12043
2026-02-12
0
Mixed-Integer Programming for Change-point Detection
By Apoorva Narula, Santanu S. Dey, Yao Xie · ArXiv: 2602.11947
2026-02-12
0
Learning Conditional Averages
By Marco Bressan, Nataly Brukhim, Nicolo Cesa-Bianchi · ArXiv: 2602.11920
2026-02-12
0
Temporally resolved aortic 3D shape reconstruction from a limited number of cine 2D MRI slices
By Gloria Wolkerstorfer, Stefano Buoso, Rabea Schlenker · ArXiv: 2602.11873
2026-02-12
0
Aggregate Models, Not Explanations: Improving Feature Importance Estimation
By Joseph Paillard, Angel Reyero Lobo, Denis A. Engemann · ArXiv: 2602.11760
2026-02-12
0
High-Probability Minimax Adaptive Estimation in Besov Spaces via Online-to-Batch
By Paul Liautaud, Pierre Gaillard, Olivier Wintenberger · ArXiv: 2602.11747
2026-02-12
0
PAC-Bayesian Generalization Guarantees for Fairness on Stochastic and Deterministic Classifiers
By Julien Bastian, Benjamin Leblanc, Pascal Germain · ArXiv: 2602.11722
2026-02-12
0
Estimation of instrument and noise parameters for inverse problem based on prior diffusion model
By Jean-François Giovannelli · ArXiv: 2602.11711
2026-02-12
0
Provable Offline Reinforcement Learning for Structured Cyclic MDPs
By Kyungbok Lee, Angelica Cristello Sarteau, Michael R. Kosorok · ArXiv: 2602.11679
2026-02-12
0
Improving the adjusted Benjamini--Hochberg method using e-values in knockoff-assisted variable selection
By Aniket Biswas, Aaditya Ramdas · ArXiv: 2602.11610
2026-02-12
0
Locally Interpretable Individualized Treatment Rules for Black-Box Decision Models
By Yasin Khadem Charvadeh, Katherine S. Panageas, Yuan Chen · ArXiv: 2602.11520
2026-02-12
0
Representation Learning with Blockwise Missingness and Signal Heterogeneity
By Ziqi Liu, Ye Tian, Weijing Tang · ArXiv: 2602.11511
2026-02-12
0
High-Dimensional Mediation Analysis for Generalized Linear Models Using Bayesian Variable Selection Guided by Mediator Correlation
By Youngho Bae, Chanmin Kim, Fenglei Wang · ArXiv: 2602.11496
2026-02-12
0
The Cost of Learning under Multiple Change Points
By Tomer Gafni, Garud Iyengar, Assaf Zeevi · ArXiv: 2602.11406
2026-02-11
0
Who's Winning? Clarifying Estimands Based on Win Statistics in Cluster Randomized Trials
By Kenneth M. Lee, Xi Fang, Fan Li · ArXiv: 2602.11403
2026-02-11
0
Regularized Ensemble Forecasting for Learning Weights from Historical and Current Forecasts
By Han Su, Xiaojia Guo, Xiaoke Zhang · ArXiv: 2602.11379
2026-02-11
0
Bootstrapping-based Regularisation for Reducing Individual Prediction Instability in Clinical Risk Prediction Models
By Sara Matijevic, Christopher Yau · ArXiv: 2602.11360
2026-02-11
0
Cross-Fitting-Free Debiased Machine Learning with Multiway Dependence
By Kaicheng Chen, Harold D. Chiang · ArXiv: 2602.11333
2026-02-11
0
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