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ORCIDNezihe Merve Gürel
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- affiliation: ETH Zürich, Switzerland
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2020 – today
- 2024
[c11]Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li:
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits. ICLR 2024- [c10]Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos E. Nikolakakis, Amin Karbasi, Dionysios S. Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas:
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning. ICLR 2024 - [c9]Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li:
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models. ICML 2024 - [i14]Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li:
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models. CoRR abs/2402.03181 (2024) - [i13]Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li:
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits. CoRR abs/2403.11348 (2024) - [i12]Haoyuan Li, Mathias Funk, Nezihe Merve Gürel, Aaqib Saeed:
Collaboratively Learning Federated Models from Noisy Decentralized Data. CoRR abs/2409.02189 (2024) - 2023
- [i11]Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos E. Nikolakakis, Amin Karbasi, Dionysios S. Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas:
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning. CoRR abs/2305.18424 (2023) - [i10]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 D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson:
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR abs/2311.13028 (2023) - 2022
- [b1]Nezihe Merve Gürel:
Advancing Cost Efficiency and Robustness of Machine Learning through the Lens of Data. ETH Zurich, Zürich, Switzerland, 2022 - 2021
- [j4]Cédric Renggli, Luka Rimanic, Nezihe Merve Gürel, Bojan Karlas, Wentao Wu, Ce Zhang:
A Data Quality-Driven View of MLOps. IEEE Data Eng. Bull. 44(1): 11-23 (2021) - [c8]Mohammad Reza Karimi, Nezihe Merve Gürel, Bojan Karlas, Johannes Rausch, Ce Zhang, Andreas Krause:
Online Active Model Selection for Pre-trained Classifiers. AISTATS 2021: 307-315 - [c7]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:
Ease.ML: A Lifecycle Management System for Machine Learning. CIDR 2021 - [c6]Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic, Ce Zhang, Bo Li:
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks. ICML 2021: 3976-3987 - [c5]Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao
, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang:
DeGNN: Improving Graph Neural Networks with Graph Decomposition. KDD 2021: 1223-1233 - [c4]Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou:
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. KDD 2021: 3795-3805 - [i9]Cédric Renggli, Luka Rimanic, Nezihe Merve Gürel, Bojan Karlas, Wentao Wu, Ce Zhang:
A Data Quality-Driven View of MLOps. CoRR abs/2102.07750 (2021) - [i8]Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic, Ce Zhang, Bo Li:
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks. CoRR abs/2106.06235 (2021) - 2020
- [j3]Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang:
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. Proc. VLDB Endow. 14(3): 255-267 (2020) - [j2]Nezihe Merve Gürel, Kaan Kara, Alen Stojanov, Tyler M. Smith, Thomas Lemmin, Dan Alistarh, Markus Püschel, Ce Zhang:
Compressive Sensing Using Iterative Hard Thresholding With Low Precision Data Representation: Theory and Applications. IEEE Trans. Signal Process. 68: 4268-4282 (2020) - [i7]Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang:
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. CoRR abs/2005.05117 (2020) - [i6]Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou:
Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph. CoRR abs/2007.14573 (2020) - [i5]Mohammad Reza Karimi, Nezihe Merve Gürel, Bojan Karlas, Johannes Rausch, Ce Zhang, Andreas Krause:
Online Active Model Selection for Pre-trained Classifiers. CoRR abs/2010.09818 (2020)
2010 – 2019
- 2019
- [j1]Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song:
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms. Proc. VLDB Endow. 12(11): 1610-1623 (2019) - [c3]Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos:
Towards Efficient Data Valuation Based on the Shapley Value. AISTATS 2019: 1167-1176 - [i4]Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos:
Towards Efficient Data Valuation Based on the Shapley Value. CoRR abs/1902.10275 (2019) - [i3]Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song:
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms. CoRR abs/1908.08619 (2019) - [i2]Nezihe Merve Gürel, Hansheng Ren, Yujing Wang, Hui Xue, Yaming Yang, Ce Zhang:
An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation. CoRR abs/1910.04499 (2019) - 2018
- [c2]Nezihe Merve Gürel:
Towards More Accurate Radio Telescope Images. CVPR Workshops 2018: 1902-1904 - [i1]Nezihe Merve Gürel, Kaan Kara, Dan Alistarh, Ce Zhang:
Compressive Sensing with Low Precision Data Representation: Radio Astronomy and Beyond. CoRR abs/1802.04907 (2018) - 2017
- [c1]Nezihe Merve Gürel, Paul Hurley, Matthieu Simeoni:
Denoising radio interferometric images by subspace clustering. ICIP 2017: 2134-2138
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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