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- FRESH: Information-Geometric Calibration of Patient-Level Models to Aggregate Evidence
- A Composite Activation Function for Learning Stable Binary Representations
- Bayesian Comparison of Covid Origins Hypotheses
- Perceived vertical and eye level as one orientation process: a closed-form account of the Li-Matin combination rules for egocentric space
- Computing the final epidemic size distributions of a multi-type Galton--Watson process
- Self-normalized Bernstein Inequalities for Regenerative Processes and Applications to Learning Without Independence
- Minimax Optimality of the NPMLE for Gaussian Mixtures in Hellinger Distance
- When Standardization Spreads Factor Variation Across the Spectrum
- When Windowed Anderson Acceleration Converges Faster
- Existence of Minimizers for the Gaussian Mumford-Shah Model via Covariance Floors on the Value Distribution
- Asymmetric Likelihood-Free Hypothesis Testing
- Weighted Risk Aggregation under Long-Memory Dependence: Pathwise Fluctuations of Exposure-Weighted Losses
- Optimally Emulating Smooth Functions for Bayesian Analyses
- Sequential Entropic Optimal Transport for Bayesian Inverse Problems via Multilevel Monte Carlo
- A unified approach for estimation of unnormalized models via Stein operators
- Density-Level Backward Error for Low-NFE Generative Flows
- Time-Uniform Dependent Central Limit Theory
- Third and Fourth Moment Phenomena for Monochromatic Edges and Applications to Graph-Based Two-Sample Tests
- Curvature-Scaled Sharpness-Aware Minimization: Convergence Beyond Smoothness
- A Jump-Modified Wasserstein Gradient Flow for Maximum Mean Discrepancy with Energy Kernels
- Generalised Robust Bayes for Joint Inference of Model and Contamination
- Gaussian Processes with Sample Paths in Reproducing Kernel Banach Spaces
- Adaptive auditing of AI systems with anytime-valid guarantees
- The role of locality and weight sharing in convolutional neural networks
- Mitigating Model Collapse through Dreaming Learning