Model fusion with kullback-leibler divergence
- Sebastian Claici
- Mikhail Yurochkin
- et al.
- 2020
- ICML 2020
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35 results at ICML 2020
Is there a trade-off between fairness and accuracy? A perspective using mismatched hypothesis testing
- Sanghamitra Dutta
- Dennis Wei
- et al.
- 2020
- ICML 2020
Min-max optimization without gradients: Convergence and applications to black-box evasion and poisoning attacks
- Sijia Liu
- Songtao Lu
- et al.
- 2020
- ICML 2020
Enhancing simple models by exploiting what they already know
- Amit Dhurandhar
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness
- Michael Hind
- Dennis Wei
- et al.
- 2020
- ICML 2020
Do You Sign Your Model?
- Omid Aramoon
- Pin-Yu Chen
- et al.
- 2020
- ICML 2020
Leveraging Simple Model Predictions for Enhancing its Performance
- Amit Dhurandhar
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
Chi-square Information for Invariant Learning
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2020
- ICML 2020
Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys
- Girmaw Abebe Tadesse
- Celia Cintas
- et al.
- 2020
- ICML 2020
On the Equivalence of Bi-Level Optimization and Game-Theoretic Formulations of Invariant Risk Minimization
- Kartik Ahuja
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020