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stochastic programming

6 papers

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Co-occurring keywords · papers mentioning both

constrained optimization (2) multistage stochastic optimization (1) stagewise decomposition (1) anderson mixing (1) multistage stochastic programming (1) transformer-based method (1) stochastic dual dynamic programming (1) task-based learning (1) treatment effect bound (1) large language model (1)

Papers

LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing EMNLP 2025 Stochastic Causal Programming for Bounding Treatment Effects CLeaR 2023 Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization ICML 2023 A Variant of Anderson Mixing with Minimal Memory Size NeurIPS 2022 Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming UAI 2022 Task-based End-to-end Model Learning in Stochastic Optimization NeurIPS 2017