sample average approximation

Non-Asymptotic and Non-Lipschitzian Bounds on Optimal Values in Stochastic Optimization Under Heavy Tails ICML 2025 Learning Fair Policies for Multi-Stage Selection Problems from Observational Data AAAI 2024 Sample Average Approximation for Black-Box Variational Inference UAI 2024 Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data ICML 2024 Statistical Inference for Fisher Market Equilibrium ICLR 2023 Beyond IID: data-driven decision-making in heterogeneous environments NeurIPS 2022 Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability AAAI 2022 Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method IJCAI 2022 Efficient Generalization with Distributionally Robust Learning NeurIPS 2021 Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty IJCAI 2019 XOR-Sampling for Network Design with Correlated Stochastic Events IJCAI 2017 Regret based Robust Solutions for Uncertain Markov Decision Processes NeurIPS 2013