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Robust Optimization

16 directly classified papers

Papers per year

Papers

Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data AAAI 2025
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NIPS 2024
Distributionally Robust Performative Prediction NIPS 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning NIPS 2024
Learning from Noisy Labels via Conditional Distributionally Robust Optimization NIPS 2024
Covariate-Shift Generalization via Random Sample Weighting AAAI 2023
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty AAAI 2023
Robust $\phi$-Divergence MDPs NIPS 2022
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets NIPS 2022
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems NIPS 2021
Neuron Matching in C. elegans With Robust Approximate Linear Regression Without Correspondence WACV 2021
Robust Optimization for Fairness with Noisy Protected Groups NIPS 2020
Distributionally Robust Local Non-parametric Conditional Estimation NIPS 2020
Learning Structured Distributions From Untrusted Batches: Faster and Simpler NIPS 2020
Hierarchically Robust Representation Learning CVPR 2020
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes CVPR 2019