Bojan Karlaš
Bojan Karlaš
PhD Student, ETH Zürich
Verified email at inf.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Is advance knowledge of flow sizes a plausible assumption?
V Ğukić, SA Jyothi, B Karlaš, M Owaida, C Zhang, A Singla
16th {USENIX} Symposium on Networked Systems Design and Implementation …, 2019
192019
Continuous integration of machine learning models with ease. ml/ci: Towards a rigorous yet practical treatment
C Renggli, B Karlaš, B Ding, F Liu, K Schawinski, W Wu, C Zhang
arXiv preprint arXiv:1903.00278, 2019
132019
The curious case of the PDF converter that likes Mozart: Dissecting and mitigating the privacy risk of personal cloud apps
H Harkous, R Rahman, B Karlas, K Aberer
Proceedings on Privacy Enhancing Technologies 2016 (4), 123-143, 2016
92016
RAB: Provable Robustness Against Backdoor Attacks
M Weber, X Xu, B Karlas, C Zhang, B Li
arXiv preprint arXiv:2003.08904, 2020
62020
Data Science through the looking glass and what we found there
F Psallidas, Y Zhu, B Karlas, M Interlandi, A Floratou, K Karanasos, W Wu, ...
arXiv preprint arXiv:1912.09536, 2019
52019
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions
B Karlaš, P Li, R Wu, NM Gürel, X Chu, W Wu, C Zhang
arXiv preprint arXiv:2005.05117, 2020
32020
ease.ml/ci and ease.ml/meter in action: towards data management for statistical generalization
C Renggli, FA Hubis, B Karlaš, K Schawinski, W Wu, C Zhang
Proceedings of the VLDB Endowment 12 (12), 1962-1965, 2019
32019
ease.ml in action: towards multi-tenant declarative learning services
B Karlaš, J Liu, W Wu, C Zhang
Proceedings of the VLDB Endowment 11 (12), 2054-2057, 2018
32018
Building Continuous Integration Services for Machine Learning
B Karlaš, M Interlandi, C Renggli, W Wu, C Zhang, ...
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
22020
AutoML from Service Provider’s Perspective: Multi-device, Multi-tenant Model Selection with GP-EI
C Yu, B Karlaš, J Zhong, C Zhang, J Liu
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
2*2019
End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines
Z Yang, Z Zhao, H Pei, B Wang, B Karlas, J Liu, H Guo, B Li, C Zhang
arXiv preprint arXiv:2003.00120, 2020
12020
Online Active Model Selection for Pre-trained Classifiers
MR Karimi, NM Gürel, B Karlaš, J Rausch, C Zhang, A Krause
arXiv preprint arXiv:2010.09818, 2020
2020
Network Scheduling in the Dark
V Đukić, SA Jyothi, B Karlaš, M Owaida, C Zhang, A Singla
Proceedings of the ACM Symposium on Cloud Computing, 516-516, 2018
2018
Ease. ML: A Lifecycle Management System for Machine Learning
L Aguilar, D Dao, S Gan, NM Gurel, N Hollenstein, J Jiang, B Karlas, ...
AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI Download PDF
C Yu, B Karlaš, J Zhong, C Zhang, J Liu
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