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- Wasserstein Bounds for Euler and Randomized Midpoint Langevin Sampling with Noisy Gradients
- Universal Short-Time Fourier Transform: Data-Adaptive Window-Length Selection for Time-Frequency Analysis
- Anchored multiple testing: a transparent use of e-closure to improve FDR procedures
- Combining Multiple Incomplete Astronomical Surveys to Estimate Galaxy Flux Distributions
- A flexible approach to high-dimensional clustering and classification using mixtures of finite mutually repulsive mixtures
- Practical Guidelines for Goodness-of-Fit Testing for Right-Censored Data
- QD-PINN:A Physics-Informed Neural Network Approach to Bayesian Quickest Detection in High-Dimensional Diffusions
- Graph Representation Learning via Adaptive Expectile Aggregation
- LinMix: Data Mixing as Linear Domain Attribution
- Bayesian Ordinal Analysis of Cereal Growth Stage Data from Oat Trials in Western Australia
- Cost-based variable selection for prediction models
- Personal preference or system role? Battery swapping among UK electric vehicle users
- Penalized Cause-Specific Hazard Regression under Competing Risks: An Elastic Net Approach Using SANAD Trial Data
- Efficient Bootstrap Calibration of Generalized Posteriors with Importance Reweighting
- Doubly Robust Deep Kernel Tests for Structured Outcomes
- Estimation and Inference for One-pass Streaming Function-on-Function Regression
- An Application of Geometric Riemannian Pricing Algorithm for Valuing Catastrophe Bonds in Incomplete Markets: Market-Consistent Financial Entropy and the Split of Frequency and Severity Risk Premia
- Is Your LLM Relay Serving What It Claims? A low-cost and high-power test for LLM Relay Auditing
- Analysis of Uncertain GARCH Model with the application of crude oil future prices
- Online gas classification at the edge
- Intrinsic Information-Theoretic Analysis of ReLU Nets
- LLM knowledge for improved Out-of-Distribution Tabular Prediction - A Cross-Validated Regularisation Approach
- Bayesian Treed Vecchia Gaussian Process Emulation via Sequential Monte Carlo
- Conservative Dueling Bandits: Preference Learning under Baseline Constraints
- Bias-Aware Guardrail Selection Under Network Interference