Mykola Pechenizkiy
Technische Universiteit Eindhoven
H-index: 50
Europe-Netherlands
Top articles of Mykola Pechenizkiy
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Can fairness be automated? Guidelines and opportunities for fairness-aware AutoML | Journal of Artificial Intelligence Research | Hilde Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Edward Bergman | 2024/2/17 |
COOM: A Game Benchmark for Continual Reinforcement Learning | NeurIPS 2023: Advances in Neural Information Processing Systems | Tristan Tomilin Meng Fang Yudi Zhang Mykola Pechenizkiy | 2024/2/13 |
Interpretable reward redistribution in reinforcement learning: A causal approach | NeurIPS 2023: Advances in Neural Information Processing Systems | Yudi Zhang Yali Du Biwei Huang Ziyan Wang Jun Wang | 2024/2/13 |
Fal-cur: fair active learning using uncertainty and representativeness on fair clustering | Expert Systems with Applications | Ricky Maulana Fajri Akrati Saxena Yulong Pei Mykola Pechenizkiy | 2024/5/15 |
Large Language Models Are Neurosymbolic Reasoners | arXiv preprint arXiv:2401.09334 | Meng Fang Shilong Deng Yudi Zhang Zijing Shi Ling Chen | 2024/1/17 |
Fairsna: Algorithmic fairness in social network analysis | Akrati Saxena George Fletcher Mykola Pechenizkiy | 2022/9/4 | |
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning | arXiv preprint arXiv:2312.15339 | Bram Grooten Tristan Tomilin Gautham Vasan Matthew E Taylor A Rupam Mahmood | 2023/12/23 |
Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking | arXiv preprint arXiv:2404.08006 | Igor G Smit Zaharah Bukhsh Mykola Pechenizkiy Kostas Alogariastos Kasper Hendriks | 2024/4/9 |
A Structural-Clustering Based Active Learning for Graph Neural Networks | IDA 2024; arXiv preprint arXiv:2312.04307 | Ricky Maulana Fajri Yulong Pei Lu Yin Mykola Pechenizkiy | 2024 |
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning | arXiv preprint arXiv:2302.06548 | Bram Grooten Ghada Sokar Shibhansh Dohare Elena Mocanu Matthew E Taylor | 2023/2/13 |
GRD: A Generative Approach for Interpretable Reward Redistribution in Reinforcement Learning | Yudi Zhang Yali Du Biwei Huang Ziyan Wang Jun Wang | 2023/5/28 | |
Are Large Kernels Better Teachers than Transformers for ConvNets? | Tianjin Huang Lu Yin Zhenyu Zhang Li Shen Meng Fang | 2023/4/24 | |
Towards a framework for the detection of representation bias | BTEM Pustjens M Pechenizkiy HJP Weerts | 2023/7/14 | |
Provably Efficient Exploration in Constrained Reinforcement Learning: Posterior Sampling Is All You Need | arXiv preprint arXiv:2309.15737 | Danil Provodin Pratik Gajane Mykola Pechenizkiy Maurits Kaptein | 2023/9/27 |
Gptbias: A comprehensive framework for evaluating bias in large language models | arXiv preprint arXiv:2312.06315 | Jiaxu Zhao Meng Fang Shirui Pan Wenpeng Yin Mykola Pechenizkiy | 2023/12/11 |
KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering | arXiv preprint arXiv:2310.19650 | Iftitahu Ni'mah Samaneh Khoshrou Vlado Menkovski Mykola Pechenizkiy | 2023/10/30 |
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models | arXiv preprint arXiv:2305.11262 | Jiaxu Zhao Meng Fang Zijing Shi Yitong Li Ling Chen | 2023/5/18 |
Automatic Curriculum for Unsupervised Reinforcement Learning | Yucheng Yang Tianyi Zhou Tianhong Dai Meng Fang Mykola Pechenizkiy | 2023/2/1 | |
FALL: A Modular Adaptive Learning Platform for Streaming Data | Ben Halstead Yun Sing Koh Patricia Riddle Mykola Pechenizkiy Albert Bifet | 2023/4/3 | |
Department of Mathematics and Computer Science | Matthijs Daniël Keep Mykola Pechenizkiy Decebal Constantin Mocanu Zahra Atashgahi Ghada Sokar | 2023/8/9 |
Co-Authors
