Bojan Karlas

37 papers A* 6A 5Misc 1Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
Navigating Data Errors in Machine Learning Pipelines: Identify, Debug, and Learn.
ICDE
Bojan Karlas, Babak Salimi, Sebastian Schelter
2025 — conf
Navigating Data Errors in Machine Learning Pipelines: Identify, Debug, and Learn.
SIGMOD Conference Companion
Bojan Karlas, Babak Salimi, Sebastian Schelter
2025 A conf
Scalable Data Debugging for Neighborhood-based Recommendation with Data Shapley Values.
RecSys
Barrie Kersbergen, Olivier Sprangers, Bojan Karlas, Maarten de Rijke, Sebastian Schelter
2024 J jnl
DMLR: Data-centric Machine Learning Research - Past, Present and Future.
J. Data-centric Mach. Learn. Res.
Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2024 A* conf
Data Debugging with Shapley Importance over Machine Learning Pipelines.
ICLR
Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang
2023 J jnl
DMLR: Data-centric Machine Learning Research - Past, Present and Future.
CoRR
Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2023 A* conf
DataPerf: Benchmarks for Data-Centric AI Development.
NeurIPS
Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
2023 — conf
Proactively Screening Machine Learning Pipelines with ARGUSEYES.
SIGMOD Conference Companion
Sebastian Schelter, Stefan Grafberger, Shubha Guha, Bojan Karlas, Ce Zhang
2023 A* conf
RAB: Provable Robustness Against Backdoor Attacks.
SP
Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, Bo Li
2022 J jnl
Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines.
CoRR
Bojan Karlas, David Dao, Matteo Interlandi, Bo Li, Sebastian Schelter, Wentao Wu, Ce Zhang
2022 J jnl
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines.
SIGMOD Rec.
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
2022 — —
Data Systems for Managing and Debugging Machine Learning Workflows.
Bojan Karlas
2022 J jnl
DataPerf: Benchmarks for Data-Centric AI Development.
CoRR
Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
2022 A* conf
Improving Certified Robustness via Statistical Learning with Logical Reasoning.
NeurIPS
Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlas, Ji Liu, Heng Guo, Ce Zhang, Bo Li
2022 A conf
Screening Native Machine Learning Pipelines with ArgusEyes.
CIDR
Sebastian Schelter, Stefan Grafberger, Shubha Guha, Olivier Sprangers, Bojan Karlas, Ce Zhang
2022 — conf
dcbench: a benchmark for data-centric AI systems.
DEEM@SIGMOD
Sabri Eyuboglu, Bojan Karlas, Christopher Ré, Ce Zhang, James Zou
2021 J jnl
A Data Quality-Driven View of MLOps.
CoRR
Cédric Renggli, Luka Rimanic, Nezihe Merve Gürel, Bojan Karlas, Wentao Wu, Ce Zhang
2021 J jnl
A Data Quality-Driven View of MLOps.
IEEE Data Eng. Bull.
Cédric Renggli, Luka Rimanic, Nezihe Merve Gürel, Bojan Karlas, Wentao Wu, Ce Zhang
2021 A conf
Ease.ML: A Lifecycle Management System for Machine Learning.
CIDR
Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang
2021 A conf
Online Active Model Selection for Pre-trained Classifiers.
AISTATS
Mohammad Reza Karimi, Nezihe Merve Gürel, Bojan Karlas, Johannes Rausch, Ce Zhang, Andreas Krause
2020 A* conf
Building Continuous Integration Services for Machine Learning.
KDD
Bojan Karlas, Matteo Interlandi, Cédric Renggli, Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer
2020 J jnl
End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines.
CoRR
Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang
2020 J jnl
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions.
CoRR
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang
2020 J jnl
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions.
Proc. VLDB Endow.
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang
2020 J jnl
Online Active Model Selection for Pre-trained Classifiers.
CoRR
Mohammad Reza Karimi, Nezihe Merve Gürel, Bojan Karlas, Johannes Rausch, Ce Zhang, Andreas Krause
2020 J jnl
RAB: Provable Robustness Against Backdoor Attacks.
CoRR
Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, Bo Li
2019 A conf
AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI.
AISTATS
Chen Yu, Bojan Karlas, Jie Zhong, Ce Zhang, Ji Liu
2019 — conf
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment.
SysML
Cédric Renggli, Bojan Karlas, Bolin Ding, Feng Liu, Kevin Schawinski, Wentao Wu, Ce Zhang
2019 J jnl
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment.
CoRR
Cédric Renggli, Bojan Karlas, Bolin Ding, Feng Liu, Kevin Schawinski, Wentao Wu, Ce Zhang
2019 J jnl
Data Science through the looking glass and what we found there.
CoRR
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer
2019 J jnl
Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization.
Proc. VLDB Endow.
Cédric Renggli, Frances Ann Hubis, Bojan Karlas, Kevin Schawinski, Wentao Wu, Ce Zhang
2019 Misc conf
Is advance knowledge of flow sizes a plausible assumption?
NSDI
Vojislav Dukic, Sangeetha Abdu Jyothi, Bojan Karlas, Muhsen Owaida, Ce Zhang, Ankit Singla
2018 J jnl
Ease.ml in Action: Towards Multi-tenant Declarative Learning Services.
Proc. VLDB Endow.
Bojan Karlas, Ji Liu, Wentao Wu, Ce Zhang
2018 J jnl
Multi-device, Multi-tenant Model Selection with GP-EI.
CoRR
Chen Yu, Bojan Karlas, Jie Zhong, Ce Zhang, Ji Liu
2018 — conf
Network Scheduling in the Dark.
SoCC
Vojislav Dukic, Sangeetha Abdu Jyothi, Bojan Karlas, Muhsen Owaida, Ce Zhang, Ankit Singla
2016 J jnl
The Curious Case of the PDF Converter that Likes Mozart: Dissecting and Mitigating the Privacy Risk of Personal Cloud Apps.
CoRR
Hamza Harkous, Rameez Rahman, Bojan Karlas, Karl Aberer
2016 J jnl
The Curious Case of the PDF Converter that Likes Mozart: Dissecting and Mitigating the Privacy Risk of Personal Cloud Apps.
Proc. Priv. Enhancing Technol.
Hamza Harkous, Rameez Rahman, Bojan Karlas, Karl Aberer