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8782 papers in Statistics
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TITLE
DATE
VIEWS
Learning from Synthetic Data: Limitations of ERM
By Kareem Amin, Alex Bie, Weiwei Kong · ArXiv: 2601.15468
2026-02-02
1
Distributional Balancing for Causal Inference: A Unified Framework via Characteristic Function Distance
By Diptanil Santra, Guanhua Chen, Chan Park · ArXiv: 2601.15449
2026-02-05
0
Robust Machine Learning for Regulatory Sequence Modeling under Biological and Technical Distribution Shifts
By Yiyao Yang · ArXiv: 2601.14969
2026-02-19
0
Tail-Aware Density Forecasting of Locally Explosive Time Series: A Neural Network Approach
By Elena Dumitrescu, Julien Peignon, Arthur Thomas · ArXiv: 2601.14049
2026-02-10
0
Unified Unbiased Variance Estimation for Maximum Mean Discrepancy: Robust Finite-Sample Performance with Imbalanced Data and Exact Acceleration under Null and Alternative Hypotheses
By Shijie Zhong, Yikun Yang, Da Gong · ArXiv: 2601.13874
2026-02-04
0
ChauBoxplot and AdaptiveBoxplot: Two R packages for boxplot-based outlier detection
By Tiejun Tong, Hongmei Lin, Bowen Gang · ArXiv: 2601.13759
2026-03-03
0
Small Gradient Norm Regret for Online Convex Optimization
By Wenzhi Gao, Chang He, Madeleine Udell · ArXiv: 2601.13519
2026-02-09
0
Labels or Preferences? Budget-Constrained Learning with Human Judgments over AI-Generated Outputs
By Zihan Dong, Xiaotian Hou, Ruijia Wu · ArXiv: 2601.13458
2026-02-11
0
Optimal and Unbiased Fluxes from Up-the-Ramp Detectors under Variable Illumination
By Bowen Li, Kevin A. McKinnon, Andrew K. Saydjari · ArXiv: 2601.10878
2026-03-21
0
Contrastive Geometric Learning Unlocks Unified Structure- and Ligand-Based Drug Design
By Lisa Schneckenreiter, Sohvi Luukkonen, Lukas Friedrich · ArXiv: 2601.09693
2026-02-03
0
A Constructive Method to Maximize Entropy under Marginal Constraints
By Pierre Jean-Claude Robert Bertr · ArXiv: 2601.09347
2026-02-06
0
Geometric Stability: The Missing Axis of Representations
By Prashant C. Raju · ArXiv: 2601.09173
2026-02-12
0
Sample Complexity of Composite Quantum Hypothesis Testing
By Jacob Paul Simpson, Efstratios Palias, Sharu Theresa Jose · ArXiv: 2601.08588
2026-02-05
0
A Unified Framework for Debiased Machine Learning: Riesz Representer Fitting under Bregman Divergence
By Masahiro Kato · ArXiv: 2601.07752
2026-02-10
2
Local EGOP for Continuous Index Learning
By Alex Kokot, An, Hemmady · ArXiv: 2601.07061
2026-02-08
0
Empirical Bayes Estimation in Heterogeneous Coefficient Panel Models
By Myunghyun Song, Sokbae Lee, Serena Ng · ArXiv: 2601.07059
2026-02-11
0
The Sample Complexity of Lossless Data Compression
By Terence Viaud, Ioannis Kontoyiannis · ArXiv: 2601.06688
2026-02-19
0
Inference-Time Alignment for Diffusion Models via Variationally Stable Doob's Matching
By Jinyuan Chang, Chenguang Duan, Yuling Jiao · ArXiv: 2601.06514
2026-02-03
0
From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence
By Marc Finzi, Shikai Qiu, Yiding Jiang · ArXiv: 2601.03220
2026-03-16
0
Multi-fidelity graph-based neural networks architectures to learn Navier-Stokes solutions on non-parametrized 2D domains
By Francesco Songia, Raoul Sallé de Chou, Hugues Talbot · ArXiv: 2601.02157
2026-02-06
1
Confounder-robust causal discovery and inference in Perturb-seq using proxy and instrumental variables
By Kwangmoon Park, Hongzhe Li · ArXiv: 2601.01830
2026-02-02
0
Beyond Demand Estimation: Consumer Surplus Evaluation via Cumulative Propensity Weights
By Zeyu Bian, Max Biggs, Ruijiang Gao · ArXiv: 2601.01029
2026-01-03
5
Tessellation Localized Transfer learning for nonparametric regression
By Hélène Halconruy, Benjamin Bobbia, Paul Lejamtel · ArXiv: 2601.00987
2026-03-17
0
Categorical Reparameterization with Denoising Diffusion models
By Samson Gourevitch, Alain Durmus, Eric Moulines · ArXiv: 2601.00781
2026-02-09
0
Modewise Additive Factor Model for Matrix Time Series
By Elynn Chen, Yuefeng Han, Jiayu Li · ArXiv: 2512.25025
2026-02-10
0
The Impact of LLMs on Online News Consumption and Production
By Hangcheng Zhao, Ron Berman · ArXiv: 2512.24968
2026-02-10
0
Diagnosing Heteroskedasticity and Resolving Multicollinearity Paradoxes in Physicochemical Property Prediction
By Malikussaid, Septian Caesar Floresko, Ade Romadhony · ArXiv: 2512.24643
2026-01-01
0
When Does Pairing Seeds Reduce Variance? Evidence from a Multi-Agent Economic Simulation
By Udit Sharma · ArXiv: 2512.24145
2026-01-31
0