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← Optimization
Mathematics & Optimization
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Optimization
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Robust Optimization
70 directly classified papers
Papers per year
2010: 1
2012: 1
2013: 3
2015: 1
2017: 3
2018: 4
2019: 8
2020: 9
2021: 4
2022: 10
2023: 6
2024: 13
2025: 7
Papers
Toward Robust Neural Reconstruction from Sparse Point Sets
CVPR 2025
Scenario-Based Robust Optimization of Tree Structures
AAAI 2025
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes
AAAI 2025
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient
AAAI 2025
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data
AAAI 2025
Online MDP with Prototypes Information: A Robust Adaptive Approach
AAAI 2025
Hyperparametric Robust and Dynamic Influence Maximization
AAAI 2025
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization
AAAI 2024
Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret
AAAI 2024
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning
AAAI 2024
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML
NIPS 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms
NIPS 2024
Distributionally Robust Performative Prediction
NIPS 2024
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
NIPS 2024
Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport
NIPS 2024
Time-Constrained Robust MDPs
NIPS 2024
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning
NIPS 2024
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty
NIPS 2024
A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion
CVPR 2024
Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms
NIPS 2024
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty
AAAI 2023
On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes
NIPS 2023
Covariate-Shift Generalization via Random Sample Weighting
AAAI 2023
Tighter Robust Upper Bounds for Options via No-Regret Learning
AAAI 2023
Wasserstein distributional robustness of neural networks
NIPS 2023
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