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← Optimization & Theory
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Optimization & Theory
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Robustness
13 directly classified papers
Papers per year
2012: 1
2018: 1
2019: 2
2020: 3
2021: 1
2022: 1
2023: 2
2024: 1
2025: 1
Papers
Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport
AAAI 2025
If You Want to Be Robust, Be Wary of Initialization
NIPS 2024
Pulling Out All The Full Stops: Punctuation Sensitivity in Neural Machine Translation and Evaluation
ACL 2023
Robust Mean Estimation Without Moments for Symmetric Distributions
NIPS 2023
Robust Streaming PCA
NIPS 2022
Evaluating model performance under worst-case subpopulations
NIPS 2021
Attribute Noise Robust Binary Classification (Student Abstract)
AAAI 2020
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization
NIPS 2020
How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?
NIPS 2020
Outlier-robust estimation of a sparse linear model using $\ell_1$-penalized Huber's $M$-estimator
NIPS 2019
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
NIPS 2019
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution
NIPS 2018
A Polynomial-time Form of Robust Regression
NIPS 2012
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