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Yegor Klochkov
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2020 – today
- 2024
- [c3]Wenlong Chen, Yegor Klochkov, Yang Liu:
Post-hoc bias scoring is optimal for fair classification. ICLR 2024 - 2023
- [i7]Yang Liu, Yuanshun Yao, Jean-Francois Ton, Xiaoying Zhang, Ruocheng Guo, Hao Cheng, Yegor Klochkov, Muhammad Faaiz Taufiq, Hang Li:
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment. CoRR abs/2308.05374 (2023) - [i6]Wenlong Chen, Yegor Klochkov, Yang Liu:
Post-hoc Bias Scoring Is Optimal For Fair Classification. CoRR abs/2310.05725 (2023) - [i5]Yegor Klochkov, Jean-Francois Ton, Ruocheng Guo, Yang Liu, Hang Li:
Deep Concept Removal. CoRR abs/2310.05755 (2023) - 2022
- [i4]Wolfgang Karl Härdle, Yegor Klochkov, Alla Petukhina, Nikita Zhivotovskiy:
Robustifying Markowitz. CoRR abs/2212.13996 (2022) - 2021
- [c2]Yegor Klochkov, Nikita Zhivotovskiy:
Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$. NeurIPS 2021: 5065-5076 - [i3]Yegor Klochkov, Nikita Zhivotovskiy:
Stability and Deviation Optimal Risk Bounds with Convergence Rate O(1/n). CoRR abs/2103.12024 (2021) - 2020
- [c1]Olivier Bousquet, Yegor Klochkov, Nikita Zhivotovskiy:
Sharper Bounds for Uniformly Stable Algorithms. COLT 2020: 610-626 - [i2]Yegor Klochkov, Alexey Kroshnin, Nikita Zhivotovskiy:
Robust k-means Clustering for Distributions with Two Moments. CoRR abs/2002.02339 (2020)
2010 – 2019
- 2019
- [i1]Olivier Bousquet, Yegor Klochkov, Nikita Zhivotovskiy:
Sharper bounds for uniformly stable algorithms. CoRR abs/1910.07833 (2019)
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