decision making under uncertainty

Potential Outcome Rankings for Counterfactual Decision Making AAAI 2026 What Capable Agents Must Know: Selection Theorems for Robust Decision-Making under Uncertainty UAI 2026 DeFine: Decision-Making with Analogical Reasoning over Factor Profiles ACL 2025 Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize AAAI 2024 Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models NeurIPS 2023 Learning to Optimize with Stochastic Dominance Constraints AISTATS 2023 Neur2SP: Neural Two-Stage Stochastic Programming NeurIPS 2022 A Universal 2-state n-action Adaptive Management Solver AAAI 2021 Stein Variational Model Predictive Control CoRL 2020 Learning Deep Stochastic Optimal Control Policies Using Forward-Backward SDEs RSS 2019 Probabilistic Logic Programming with Beta-Distributed Random Variables AAAI 2019 Real-Time Planning as Decision-Making under Uncertainty AAAI 2019 Algorithmic Social Intervention IJCAI 2018 Decision-Making Under Uncertainty in Multi-Agent and Multi-Robot Systems: Planning and Learning IJCAI 2018 Learning and Communicating the Latent States of Human-Machine Collaboration IJCAI 2018 Sample Complexity Bounds for Iterative Stochastic Policy Optimization NeurIPS 2015 Improving Existing Fault Recovery Policies NeurIPS 2009