Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning

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Conditional outlier detection for clinical alerting

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Physiologically Grounded Driver Behavior Classification: SHAP-Driven Elite Feature Selection and Hybrid Gradient Boosting for Multimodal Physiological Signals

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On the Wasserstein Gradient Flow Interpretation of Drifting Models

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On the Hardness of Junking LLMs

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Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior

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How Long Does Infinite Width Last? Signal Propagation in Long-Range Linear Recurrences

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Rollout Pass-Rate Control: Steering Binary-Reward RL Toward Its Most Informative Regime

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Building informative materials datasets beyond targeted objectives

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Unified Framework of Distributional Regret in Multi-Armed Bandits and Reinforcement Learning

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Extremal graphical modeling with latent variables via convex optimization

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Continual Knowledge Updating in LLM Systems: Learning Through Multi-Timescale Memory Dynamics

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A Bayesian Approach for Task-Specific Next-Best-View Selection with Uncertain Geometry

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Proximal Projection for Doubly Sparse Regularized Models

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Gated Multimodal Learning for Interpretable Property Energy Performance Prediction and Retrofit Scenario Analysis

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Optimizing Bit-Labeling of Voronoi Constellations

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Private Contiguous-Block Retrieval

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Deterministic identification for Bernoulli channels and related channels with continuous input

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Private Structured-Subset Retrieval

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Age of Gossip in Ring Networks With Non-Poisson Updates

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