Distributional Preference Alignment of LLMs via Optimal Transport
- Igor Melnyk
- Youssef Mroueh
- et al.
- 2024
- NeurIPS 2024
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56 results for Mikhail Yurochkin
Understanding new tasks through the lens of training data via exponential tilting
- Subha Maity
- Mikhail Yurochkin
- et al.
- 2023
- ICLR 2023
Sampling with Mollified Interaction Energy Descent
- Lingxiao Li
- Qiang Liu
- et al.
- 2023
- ICLR 2023
Learning Proximal Operators to Discover Multiple Optima
- Lingxiao Li
- Noam Aigerman
- et al.
- 2023
- ICLR 2023
On sensitivity of meta-learning to support data
- 2021
- NeurIPS 2021
Post-processing for Individual Fairness
- Felix Petersen
- Debarghya Mukherjee
- et al.
- 2021
- NeurIPS 2021
Does enforcing fairness mitigate biases caused by subpopulation shift?
- Subha Maity
- Debarghya Mukherjee
- et al.
- 2021
- NeurIPS 2021
Outlier-Robust Optimal Transport
- Debarghya Mukherjee
- Aritra Guha
- et al.
- 2021
- ICML 2021
Statistical inference for individual fairness
- Subha Maity
- Songkai Xue
- et al.
- 2021
- ICLR 2021
Individually Fair Gradient Boosting
- Alexander Vargo
- Fan Zhang
- et al.
- 2021
- ICLR 2021