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- Reinforcement learning on the EPRI AI-ccelerating Unit Commitment benchmark: diagnosing over-commitment and guiding MILP with learned policies
- Multivariate M-extremiles
- Bias correcting transaction cost models for characteristic function based estimators
- DR-Learners for Generalizing CATEs from a Randomized Controlled Trial
- The Hidden Look-Ahead: Point-in-Time Leakage in Electricity Market Data
- A Distribution-Free Separation Between Learned and Fixed Features
- State Space Modeling of the Ornstein-Uhlenbeck Process with Measurement Error: An Application to Microbiome Data
- Estimating Causal Bounds from Observational Data With Neural Generative Models
- Decision-Target Reversal under Informative Label Missingness
- Robust Direct Preference Optimization under Preference Label-Flip Attacks
- A Splitting Method for SDE Terminal-Law Estimation
- Chopthin-Consensus Power Sampling: A Diversity-Preserving Approach to LLM Decoding
- When is statistical evidence strong enough? Using hypothesis tests to value data collection
- Online detection of distributional changes for time series in metric spaces
- Statistical Methods for Multiple Language Model Comparison on a Shared Evaluation
- Inverse Confounding Analysis: An Exact Method for Quantifying the Significance of Confounding
- Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records
- FairBED: Incorporating Fairness into Bayesian Experimental Design
- Certifying Whether to Adapt: Baseline-Relative PAC-Bayes-MMD Guarantees for Test-Time Adaptation
- Approximation Theory of Laplacian-Based Neural Operators for Reaction-Diffusion System
- Bandit Learning in General Open Multi-agent Systems
- Semi-supervised learning on singular data sets
- Efficient estimation of measures of functional dependence
- Conventional Inference under Nonstationary Heavy Tailed Fractional Processes & Arrays
- Dimension-free comparison inequalities between f-divergences for Gaussian location mixtures