SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
- Mikhail Yurochkin
- Yuekai Sun
- 2021
- ICLR 2021
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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54 results for Mikhail Yurochkin
Continuous Regularized Wasserstein Barycenters
- Lingxiao Li
- Aude Genevay
- et al.
- 2020
- NeurIPS 2020
Model fusion with kullback-leibler divergence
- Sebastian Claici
- Mikhail Yurochkin
- et al.
- 2020
- ICML 2020
Two simple ways to learn individual fairness metrics from data
- Debarghya Mukherjee
- Mikhail Yurochkin
- et al.
- 2020
- ICML 2020
Training individually fair ML models with sensitive subspace robustness
- Mikhail Yurochkin
- Amanda Bower
- et al.
- 2020
- ICLR 2020
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
Asymmetry in Low-Rank Adapters of Foundation Models
- Jiacheng Zhu
- Kristjan Greenewald
- et al.
- 2024
- ICML 2024
Risk Aware Benchmarking of Large Language Models
- Apoorva Nitsure
- Youssef Mroueh
- et al.
- 2024
- ICML 2024
Uncertainty Quantification via Stable Distribution Propagation
- Felix Petersen
- Aashwin Mishra
- et al.
- 2024
- ICLR 2024