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- Fast rates for the classification of Ornstein-Uhlenbeck paths
- Variational Bayes for Variable Selection with Adaptive Sharing across Populations and Responses
- Formalizing the Intrinsic Dimension of Objective Landscapes by a Generalized Notion of Co-dimension
- Emergence of the transformer architecture as the score of entropic laws of random measures
- Non-Asymptotic Confidence Regions for Separable Nonlinear Models
- Conic-Lifting for Learning-rate-free Convex Optimization
- Safe Multi-Objective Reinforcement Learning: Zero Constraint Violation and Primal-Averaging Convergence
- Self-normalised change point tests that remain pivotal under non-stationarity
- Optimal fiber comparisons for random tensors
- There Is No Free Lunch in RLVR: Every pass@1 Gain Has a pass@k Price
- Bregman projections and partition design for accelerating finite Markov chains
- On the median of the beta distribution in relation to the median of the gamma distribution
- Adaptive Bayesian Estimation of Conditional Densities Based on Orthogonal Polynomials
- The German Tank Problem & Navigating by Scent
- Flow Matching for Fast Posterior Sampling in Bayesian Inverse Problems
- A Functional Central Limit Theorem for Locally Stationary Time Series in Banach Spaces
- Iterative Calibration and Learning: Mitigating Teacher Bias in LLM Distillation without Target-Domain Reward Feedback
- An approximate zero bias transformation for random sums: Applications to sampling with outliers, auto insurance, and generative AI
- Activation-Keyed Momentum: An Anisotropic Momentum Update via the Delta Rule
- Gaussian Approximation and Multiplier Bootstrap for Federated Linear Stochastic Approximation
- Random Matching Between Distinct Distributions in Two Dimensions
- posterior-landscape: morphological feature finding in two-dimensional probability densities
- Beyond χ2: Ensemble null tests for reliable scientific discovery
- Sequince: a modular sequential Monte Carlo toolkit
- Connecting Quantum Tomography and Quantum Retrodiction