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- Balanced Sampling in Stochastic Multi-objective Bandits
- Depth Improves Training-Time Scaling for Difficult Tasks in Deep Linear Networks
- Hierarchical Bayesian Joint Modeling of Athlete Performance Trajectories and Latent Peak Ages
- Prior Predictive Matching for Bayesian LoRA
- A knowledge-driven nonconvex square-root regularization framework for joint group sparsity and structured smoothness
- Homogeneity Pursuit for 3D Point Clouds
- Reducing the Uncertainty in Determining the Origin of Natural Commodities via Earth Embeddings
- Byzantine-Robust Sparse Regression with Missing Covariates
- Beyond Wasserstein Proximity: Finding Better Transfer Sources
- Temporal-Difference Calibration of Black-Box Simulators
- Identities, Not Pairs: Distribution-Free False-Accept Control for Embedding-Based Verification
- Fast Calibration of Generalized Posteriors via Dirichlet Reweighting
- AutoEnergyDesign: An LLM-Driven Agent for Automatic Energy System Design Optimization
- Dynamic conditional density network of wind vectors
- Risk-Aware Output Control Should be the Focus of Machine Unlearning
- Conformal Novelty Detection via Data-enhanced Localization
- Breakdown-Resistant Hierarchical Bayesian Calibration for Multi-Center Clinical Trials
- Accuracy and efficiency of compact foundation models for surface-water mapping during floods
- Cross-vehicle injury spillovers of ADAS functions in two-vehicle rear-end and same-direction sideswipe crashes
- The Noise-Transmission Burden of Diffusion Network: Why Image Prediction Can Outperform Noise Prediction
- Performance Guarantees for Permissionless Lending
- Adaptive Probe Design for Auditing AI Agents
- Designing Customer Feedback for Subscription Boxes
- Intervene, Calibrate, Discover: Learning Causal Structure from Pixels
- Intrinsic Information Rates of Summaries in Simulation-Based Inference