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- Asymptotic Bayes Optimality Under Sparsity of the Gavrilov-Benjamini-Sarkar Step-Down Testing Procedure
- Sharp minimax risks and phase transitions in sparse submatrix detection
- When is early stopping beneficial under label noise? A phase diagram for kernel gradient flow
- Resource competition and survival for random walkers on complex networks
- Task-Directed Spectral Design for Local Quantum Tomography
- Multisource Remote Sensing and Geospatial Analysis of Vineyard Wildfire Impacts and Exposure: The 2019 Kincade Fire
- Entangled Merged Pairs: The Observation-Boundary Principle
- Performance d'insertion des centres de formation d'apprentis en France : une analyse économétrique à partir des données InserJeunes
- From Fairness to Efficiency in Repeated Bilateral Trade
- Privacy-accuracy trade-off optimization in sensitive surveys through regression estimation
- Neural Simulation-Based Inference for space-time Gaussian processes
- Causal Inference Without Control Groups: Six Field Procedures of the Kuriyama Protocol
- A multi-predictor nonparametric local linear generalized Poisson regression model for overdispersed count data.
- A Framework for Constructing, Estimating, and Validating the Bivariate Generalized Log-Gamma Distribution
- Dual-Corrected Stochastic Block Model (DC2SBM): A Generalized Structure Detection Method for Attributed Networks
- Federated deep learning for privacy-preserving cardiovascular disease risk prediction
- The kernel mean embedding of a random probability distribution and its principal components
- Robust bootstrap methods for meta-analyses of diagnostic test accuracy studies
- Informative inference on the average treatment effect with instrumental variables
- Self-thresholding angular-radial models of extremal dependence
- Smoothing splines with some discontinuities
- A Measure-Geometric Theory of Robustness in Machine Learning
- CAQ: Clustered Asymptotically Anytime-Valid Quantile Treatment Effects for Online Experiments
- Analytically Optimal Sample Allocations for Nested Multivariate Multifidelity Control Variate Estimators
- When Are Nesterov Trajectories Eventually Locally Minimizing?