Andrei Paleyes

Computer Science · Physical Sciences

7h-index686citations30works0.62yr avg
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Research Topics

Software Engineering Research(9), Software System Performance and Reliability(7), Advanced Software Engineering Methodologies(6), Advanced Multi-Objective Optimization Algorithms(6), Machine Learning and Data Classification(6)

Publications30 total

Optimising for Energy Efficiency and Performance in Machine Learning
arXiv (Cornell University)·2026Open Access
Optimising for Energy Efficiency and Performance in Machine Learning
ArXiv.org·2026Open Access
Surrogate-Based Differentiable Pipeline for Shape Optimization
arXiv (Cornell University)·2025Open Access
Machine Learning Systems: A Survey from a Data-Oriented Perspective
ACM Computing Surveys·2025· 2 citedOpen Access
Automated Discovery of Trade-Off Between Utility, Privacy and Fairness in Machine Learning Models
Communications in computer and information science·2025· 1 cited
Self-sustaining Software Systems (S4): Towards Improved Interpretability and Adaptation
2024· 2 citedOpen Access
Can causality accelerate experimentation in software systems?
2024Open Access
Self-sustaining Software Systems (S4): Towards Improved Interpretability and Adaptation
arXiv (Cornell University)·2024Open Access
Automated discovery of trade-off between utility, privacy and fairness in machine learning models
arXiv (Cornell University)·2023· 2 citedOpen Access
Causal fault localisation in dataflow systems
2023· 2 citedOpen Access
Dataflow graphs as complete causal graphs
2023· 3 cited
Causal fault localisation in dataflow systems
arXiv (Cornell University)·2023Open Access
Dataflow graphs as complete causal graphs
arXiv (Cornell University)·2023Open Access
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
arXiv (Cornell University)·2023· 20 citedOpen Access
Machine Learning Systems: A Survey from a Data-Oriented Perspective
arXiv (Cornell University)·2023· 1 citedOpen Access
Emukit: A Python toolkit for decision making under uncertainty
Proceedings of the Python in Science Conferences·2023· 14 citedOpen Access
Desiderata for next generation of ML model serving
arXiv (Cornell University)·2022· 5 citedOpen Access
A penalisation method for batch multi-objective Bayesian optimisation with application in heat exchanger design
arXiv (Cornell University)·2022· 1 citedOpen Access
An empirical evaluation of flow based programming in the machine learning deployment context
2022· 5 citedOpen Access
Challenges in Deploying Machine Learning: A Survey of Case Studies
ACM Computing Surveys·2022· 507 citedOpen Access
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Frequent Co-authors

Neil D. Lawrence(18), Christian Cabrera(8), Javier González(6), Maren Mahsereci(2), Eero Siivola(2), Aki Vehtari(2), Victor Picheny(2), Henry B. Moss(2), Brendan Avent(2), Tom Diethe(2), Borja Balle(2), Siyuan Guo(2), Bernhard Schölkopf(2), Pierre Thodoroff(2), Bogdan Ficiu(2), Emile Dos Santos Ferreira(2), Neil D. Lawrence(2), Raoul-Gabriel Urma(1), Mark Pullin(1), Cliff McCollum(1)