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- Certified computation of Buehler confidence limits for system reliability
- Estimating Average Treatment Effects with Projected Instrumental Variables
- ALDER: A Single-Loop Augmented-Lagrangian Damped Extragradient Method for Nonconvex--Concave Minimax Problems with Nonlinear Coupled Constraints
- The Statistical Geometry of Latent Recovery in Hidden Markov Models
- Sharp Design-based Inference for Quantiles of Individual Treatment Effects
- Non-asymptotic analysis of SGLD with discontinuous stochastic gradients: a new route to portfolio CVaR minimization
- Unconstrained support points can leave a convex support
- Mutual Information Estimation via Triangular Transport Maps: Finite Sample Guarantees and Sample Allocation
- Optimistic Gradient Algorithms with Randomized Coordinate and Variance Reduction Strategies for Composite Inclusions
- Model Collapse Is Avoidable Even as Real Data Vanishes: A Sharp Criterion for Iterative Gaussian Estimation
- ProLand: A New Infeasible Manifold Optimization Method for LoRA Fine-Tuning
- The Prior-Force Family of Implicit Denoiser Priors and Its Decisions in Linear Inverse Problems
- Inference in an interactive multi-type branching network
- Kernel Ridge Regression over Hölder Classes: Function and Derivative Losses
- Reinforcement Learning with Markov Risk Measures and Multipattern Risk Approximation
- How Does Chain-of-Thought Supervision Teach Models to Reason? A Theoretical Analysis
- Variational learning of energy-stable macroscopic flow equations from microscopic laws
- Addressing threats to validity in large dataset research
- Computing Approximate Solutions of Inconsistent Max-Min Fuzzy Relational Equations by Mixed-Integer Programming
- Lithologic Period Predicts Yttrium Enrichment in Western United States Stream Sediments
- Advancing Evidence Generation in Small, Diverse, Understudied Population
- Sample size determination for randomized decentralized clinical trials with longitudinal outcomes
- Offline Deep Q* Estimation with Diffusion Models
- Dynamic Multi-Pair Trading Strategy in Cryptocurrency Markets with Deep Reinforcement Learning
- Online Bayesian Calibration under Gradual and Abrupt System Changes