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Penalty-Based First-Order Methods for Bilevel Optimization with Minimax and Constrained Lower-Level Problems
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STEPS: A Temporal Smooth Error Propagation Solver on the Manifolds for Test-Time Adaptation in Time Series Forecasting
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Graph-Structured Hyperdimensional Computing for Data-Efficient and Explainable Process-Structure-Property Prediction
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Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors
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Tool Calling is Linearly Readable and Steerable in Language Models
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Where's the Plan? Locating Latent Planning in Language Models with Lightweight Mechanistic Interventions
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Susceptibilities and Patterning: A Primer on Linear Response in Bayesian Learning
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Self-Play Enhancement via Advantage-Weighted Refinement in Online Federated LLM Fine-Tuning with Real-Time Feedback
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It Just Takes Two: Scaling Amortized Inference to Large Sets
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ELF: Embedded Language Flows
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Variational Inference for Lévy Process-Driven SDEs via Neural Tilting
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DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices
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Quantifying Concentration Phenomena of Mean-Field Transformers in the Low-Temperature Regime
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Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning
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Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis
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Revisiting Policy Gradients for Restricted Policy Classes: Escaping Myopic Local Optima with $k$-step Policy Gradients
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DataMaster: Towards Autonomous Data Engineering for Machine Learning
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Beyond Red-Teaming: Formal Guarantees of LLM Guardrail Classifiers
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RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards
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V4FinBench: Benchmarking Tabular Foundation Models, LLMs, and Standard Methods on Corporate Bankruptcy Prediction
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