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- Convergence of Large-Stepsize SGD for the Cross-entropy Loss via Stochastic Lyapunov Stability
- Early learning in large residual networks
- Reliable AI-Assisted Decisions via Selective Auditing
- Volatility-Corrected Prediction Intervals: Locally Adaptive Uncertainty Quantification for Probabilistic Time-Series Forecasting
- A Subjective Bayesian Approach to Address Unchecked Assumptions in a Causal Analysis
- More efficient transportation of causal effects using mediators
- When to Follow the Teacher: Advantage-Based On-Policy Distillation
- Diffusion Language Models for Perplexity-Aware Black-Box Attacks
- Causal inference in staggered adoption panels: The correct comparison set depends on your intervention
- A Physically-Motivated Stochastic Model of Tropical Cyclone Dynamic Wind Fields
- Generalized Infinite Hidden Markov Models
- On the Calibration of Isotonic Distributional Regression
- Local Discrimination of Binary Classifiers via Localized AUC Functional
- Prediction Uncertainty Controlled Computer Model Calibration
- What Comes Next and Why: Interpretable Next-Event Prediction with Neuro-Symbolic Rules
- Transformers with CoT Discover Heavy-Ball Acceleration Through Training
- Bayes Factor Testing of Linear and Nonlinear Effects in Additive Gaussian Process Regression
- Random Projections for Spectral Algorithms: Optimal Rates in Sobolev Norms
- Continuous-depth Deep Gaussian Processes
- xVGAE: A Hierarchical Variational Graph Autoencoder for Exchangeable Graphs
- Estimating Group Average Treatment Effects in High-Risk Populations with Unobserved Target Membership
- Robust M-Estimation for Spliced Power-Law Models Under Cusp-Type Non-Regularity
- DagFlow AI: Agentic Synthetic Data Generation for Personalized Statistics Learning
- Lifetime-valid decisions by continually evolving AI analysts
- Rematching Estimators for Average Treatment Effects