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distributionally robust optimization
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distributionally-robust-optimization-9eb3affa·1 events·first seen 47h agoAliases: distributionally robust optimization
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distributed optimizationBayesian OptimizationDivergence Regularized Policy OptimizationBayesian Multiobjective Optimizationadversarial robustnessPareto Optimal Policy Optimizationdifferentiable convex optimizationVector Policy OptimizationPrivate Stochastic Convex OptimizationAccelerated Decentralized Stochastic Gradient Descent for Strongly Convex OptimizationRobust ClassificationGravity-Weighted Direct Preference Optimization
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Distributionally robust optimization framework for probabilistic runtime verification of AI agents
A new arXiv preprint introduces a sound and efficient framework for verifying probabilistic security policies for AI agents operating in complex digital environments, addressing limitations of prior Datalog-based approaches that assumed deterministic policies or predicate independence. The method uses distributionally robust optimization to compute sound upper bounds on policy violation probability without requiring independence assumptions between predicates. Evaluated on benchmarks for terminal and tool-calling agents, the approach outperforms prior art on the security-utility trade-off.