Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
- Hao Wang
- Luxi He
- et al.
- 2023
- NeurIPS 2023
Publications
893 results for Trustworthy AI
Model Sparsity Can Simplify Machine Unlearning
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2023
- NeurIPS 2023
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
- Ilias Diakonikolas
- Daniel Kane
- et al.
- 2023
- NeurIPS 2023
Post-processing Private Synthetic Data for Improving Utility on Selected Measures
- 2023
- NeurIPS 2023
AlphaFold Distillation for Protein Design
- Igor Melnyk
- Aurelie Lozano
- et al.
- 2023
- NeurIPS 2023
Symbolic Learning for Material Discovery
- Daniel Cunnington
- Flaviu Cipcigan
- et al.
- 2023
- NeurIPS 2023
Estimating Fréchet bounds for validating programmatic weak supervision
- Felipe Maia Polo
- Mikhail Yurochkin
- et al.
- 2023
- NeurIPS 2023
Workshop version: How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
- David Mayo
- Jesse Cummings
- et al.
- 2023
- NeurIPS 2023
Influence Based Approaches to Algorithmic Fairness: A Closer Look
- Soumya Ghosh
- Prasanna Sattigeri
- et al.
- 2023
- NeurIPS 2023
Explaining knock-on effects of bias mitigation
- Svetoslav Nizhnichenkov
- Rahul Nair
- et al.
- 2023
- NeurIPS 2023