Empirical or Invariant Risk Minimization? A Sample Complexity Perspective
- Kartik Ahuja
- Jun Wang
- et al.
- 2021
- ICLR 2021
Publications
80 results for Amit Dhurandhar
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions
- Kartik Ahuja
- Karthikeyan Shanmugam
- et al.
- 2021
- AISTATS 2021
Anomaly Attribution with Likelihood Compensation
- 2021
- AAAI 2021
Learning Global Transparent Models consistent with Local Contrastive Explanations
- Tejaswini Pedapati
- Avinash Balakrishnan
- et al.
- 2020
- NeurIPS 2020
Model Agnostic Multilevel Explanations
- Karthikeyan Natesan Ramamurthy
- Bhanukiran Vinzamuri
- et al.
- 2020
- NeurIPS 2020
Model Agnostic Learning of Multilevel Explanations
- Karthikeyan Natesan Ramamurthy
- Bhanu Vinzamuri
- et al.
- 2020
- NeurIPS 2020
Classifier invariant approach to learn from positive-unlabeled data
- Amit Dhurandhar
- Karthik S. Gurumoorthy
- 2020
- ICDM 2020
Human Cognitive Biases in Interpreting Machine Learning
- Charvi Rastogi
- Yunfeng Zhang
- et al.
- 2020
- INFORMS 2020
Tutorial on Human-Centered Explainability for Healthcare
- Prithwish Chakraborty
- Bum Chul Kwon
- et al.
- 2020
- KDD 2020
Enhancing simple models by exploiting what they already know
- Amit Dhurandhar
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020