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- Let Them Peek: Group Sequential Designs for A/B Testing
- Data-Driven Learning of Directed Acyclic Graphs in Gaussian Linear Structural Equation Models with Latent Variables
- Beyond the Mean: A Two-Stage GAMLSS Framework for Physical Activity Bout Patterns and Survival in COPD
- Robust and Sparse Personalized Federated Learning via Gamma-Divergence
- Variance estimation for generalized linear regression with binary outcome when using case-cohort data
- Rerandomization and high-dimensional adjustment with assignment-dependent auxiliary variables under network interference
- Practical Advantages of Online Conformal Prediction for Data Streams
- Pattern Intelligence: Unsupervised, LLM-Interpreted Discovery of Systematic Underpayment and Denial Patterns in Healthcare Revenue Cycle Management
- Divide-and-Conquer Neural Bayes Estimation for Spatial and Spatiotemporal Point Process Models
- Functional meta-analysis of survival curves across reporting formats and time points
- From POMDP Theory to Deep RL with Particle Filters
- Bayesian Neural Networks via Dirichlet Process Priors on the Data-Generating Distribution for Randomized Value Functions in Deep Reinforcement Learning
- Active Pilot Sampling for Multi-fidelity Estimation in Stochastic Optimization
- What Moved the Alarm Score? Causal Attribution with Exact Computation and Scarce-Incident Estimation
- MiCLA: Mixture-to-Constituent Latent Alignment for Polyphonic Audio Representation Learning
- Beyond Scalar Leaderboards: Adaptive Sampling for Pareto Frontier Identification in Multi-Objective LLM Arenas
- A Bayesian machine learning approach to direct and spillover effects in cluster-randomized trials with noncompliance
- Mixture of Censored Partially Linear Experts Models for Symmetric or Asymmetric Data with or without Outlying Observations: A novel approach with two-piece scale-mixture of normal distributions
- Structural equation modelling--based meta-analytic model for diagnostic test accuracy studies
- A Simple and General Approach to top-k Selection
- Selecting the Best Few with Human Evaluators: Adaptively Combining Ratings and Pairwise Comparisons
- Truncate or Not? A Scaling Study of Looped Transformers with Truncated Backpropagation
- Nash Equilibrium Individualized Treatment Regimes under Network Interference
- Measuring Variable Importance Using Proportional Inclusive Marginal Effects
- Overlapped We Stand, Separated We Fall: Software Approaches to Diagnosing Separation Phenomena in Categorical Response Models