An entropic proximal scheme addresses the non-convex discrete Schrödinger bridge problem with incomplete marginal information, yielding duality results, optimal solution characterizations, and an observability condition for uniqueness, validated on laboratory water network contamination tracking.
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A water-filling token allocation policy optimally distributes output tokens across sequential LLM agents to maximize reliability under latency and cost constraints.
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A proximal approach to the Schr\"odinger bridge problem with incomplete information and application to contamination tracking in water networks
An entropic proximal scheme addresses the non-convex discrete Schrödinger bridge problem with incomplete marginal information, yielding duality results, optimal solution characterizations, and an observability condition for uniqueness, validated on laboratory water network contamination tracking.
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Toward Reliable Design of LLM-Enabled Agentic Workflows: Optimizing Latency-Reliability-Cost Tradeoffs
A water-filling token allocation policy optimally distributes output tokens across sequential LLM agents to maximize reliability under latency and cost constraints.