Empirical or Invariant Risk Minimization? A Sample Complexity Perspective
- Kartik Ahuja
- Jun Wang
- et al.
- 2021
- ICLR 2021
Publications
Date
Featured collections
Popular topics
135 results for Kush R. Varshney
Is there a trade-off between fairness and accuracy? A perspective using mismatched hypothesis testing
- Sanghamitra Dutta
- Dennis Wei
- et al.
- 2020
- ICML 2020
Invariant Risk Minimization Games
- Kartik Ahuja
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence
- Zhenhuan Yang
- Yan Lok Ko
- et al.
- 2023
- AAAI 2023
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2022
- NeurIPS 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
- Dennis Wei
- Rahul Nair
- et al.
- 2022
- NeurIPS 2022
Event-driven continuous time bayesian networks
- Debarun Bhattacharjya
- Karthikeyan Shanmugam
- et al.
- 2020
- AAAI 2020
Topological data analysis of decision boundaries with application to model selection
- Karthikeyan Natesan Ramamurthy
- Kush R. Varshney
- et al.
- 2019
- ICML 2019
Optimized pre-processing for discrimination prevention
- Flavio Du Pin Calmon
- Dennis Wei
- et al.
- 2017
- NeurIPS 2017
Scalable demand-aware recommendation
- Jinfeng Yi
- Cho-Jui Hsieh
- et al.
- 2017
- NeurIPS 2017