Sharper Bounds for Uniformly Stable Algorithms. - Olivier Bousquet; Yegor Klochkov; Nikita Zhivotovskiy (COLT, 2020)

Robust k-means Clustering for Distributions with Two Moments. - Yegor Klochkov; Alexey Kroshnin; Nikita Zhivotovskiy (CoRR, 2020)

Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$. - Yegor Klochkov; Nikita Zhivotovskiy (NeurIPS, 2021)

Robustifying Markowitz. - Wolfgang Karl Härdle; Yegor Klochkov; Alla Petukhina; Nikita Zhivotovskiy (CoRR, 2022)

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment. - Yang Liu 018; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq; Hang Li 001 (CoRR, 2023)

Deep Concept Removal. - Yegor Klochkov; Jean-Francois Ton; Ruocheng Guo; Yang Liu 018; Hang Li 001 (CoRR, 2023)

Post-hoc bias scoring is optimal for fair classification. - Wenlong Chen; Yegor Klochkov; Yang Liu 018 (ICLR, 2024)

Revisiting inverse Hessian vector products for calculating influence functions. - Yegor Klochkov; Yang Liu (CoRR, 2024)

A mean teacher algorithm for unlearning of language models. - Yegor Klochkov (CoRR, 2025)