Training individually fair ML models with sensitive subspace robustness
- Mikhail Yurochkin
- Amanda Bower
- et al.
- 2020
- ICLR 2020
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26 results for Yuekai Sun
Federated Learning with Matched Averaging
- Hongyi Wang
- Mikhail Yurochkin
- et al.
- 2020
- ICLR 2020
tinyBenchmarks: evaluating LLMs with fewer examples
- Felipe Maia Polo
- Lucas Weber
- et al.
- 2024
- ICML 2024
Fusing Models with Complementary Expertise
- Hongyi Wang
- Felipe Maia Polo
- et al.
- 2024
- ICLR 2024
An Investigation of Representation and Allocation Harms in Contrastive Learning
- Subha Maity
- Mayank Agarwal
- et al.
- 2024
- ICLR 2024
Simple Disentanglement of Style and Content in Visual Representations
- Lilian Ngweta
- Subha Maity
- et al.
- 2023
- ICML 2023
Domain Adaptation meets Individual Fairness. And they get along.
- Debarghya Mukherjee
- Felix Petersen
- et al.
- 2022
- NeurIPS 2022
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees
- Songkai Xue
- Yuekai Sun
- et al.
- 2022
- NeurIPS 2022
Dirichlet simplex nest and geometric inference
- Mikhail Yurochkin
- Aritra Guha
- et al.
- 2019
- ICML 2019
tinyBenchmarks: evaluating LLMs with fewer examples
- Felipe Maia Polo
- Lucas Weber
- et al.
- 2024
- ICLR 2024