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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
On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes
NIPS 2023
Max-Min Grouped Bandits
AAAI 2022
Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise
AAAI 2022
RID-Noise: Towards Robust Inverse Design under Noisy Environments
AAAI 2022
Robust Tests in Online Decision-Making
AAAI 2022
Regret Bounds for Risk-Sensitive Reinforcement Learning
NIPS 2022
Global Convergence of Direct Policy Search for State-Feedback $\mathcal{H}_\infty$ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential
NIPS 2022
Coresets for Wasserstein Distributionally Robust Optimization Problems
NIPS 2022
Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees
NIPS 2022
Distributed Distributionally Robust Optimization with Non-Convex Objectives
NIPS 2022
Learning to Solve Routing Problems via Distributionally Robust Optimization
AAAI 2022
Active Learning for Distributionally Robust Level-Set Estimation
ICML 2021
Neuron Matching in C. elegans With Robust Approximate Linear Regression Without Correspondence
WACV 2021
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems
L4DC 2021
Fast Algorithms for $L_\infty$-constrained S-rectangular Robust MDPs
NIPS 2021
Correlation Robust Influence Maximization
NIPS 2020
Distributionally Robust Parametric Maximum Likelihood Estimation
NIPS 2020
Large-Scale Methods for Distributionally Robust Optimization
NIPS 2020
Distributionally Robust Local Non-parametric Conditional Estimation
NIPS 2020
One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers
NIPS 2020
Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits
ICML 2020
Hierarchically Robust Representation Learning
CVPR 2020
Distributionally Robust Counterfactual Risk Minimization
AAAI 2020
Distributionally Robust Bayesian Quadrature Optimization
AISTATS 2020
Learning Robust Options by Conditional Value at Risk Optimization
NIPS 2019
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