Nezihe Merve Gürel

According to our database, Nezihe Merve Gürel authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

All models are wrong, some are useful: Model Selection with Limited Labels.

Patrik Okanovic, Andreas Kirsch, Jannes Kasper, Torsten Hoefler, Andreas Krause, Nezihe Merve Gürel

CoRR, 2024

Collaboratively Learning Federated Models from Noisy Decentralized Data.

Haoyuan Li, Mathias Funk, Nezihe Merve Gürel, Aaqib Saeed

CoRR, 2024

C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models.

Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning.

Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos E. Nikolakakis, Amin Karbasi, Dionysios S. Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas

Proceedings of the Twelfth International Conference on Learning Representations, 2024

COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits.

Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

DMLR: Data-centric Machine Learning Research - Past, Present and Future.

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

CoRR, 2023

2022

Advancing Cost Efficiency and Robustness of Machine Learning through the Lens of Data.

Nezihe Merve Gürel

PhD thesis, 2022

2021

A Data Quality-Driven View of MLOps.

Cédric Renggli, Luka Rimanic, Nezihe Merve Gürel, Bojan Karlas, Wentao Wu, Ce Zhang

IEEE Data Eng. Bull., 2021

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data.

Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DeGNN: Improving Graph Neural Networks with Graph Decomposition.

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks.

Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic, Ce Zhang, Bo Li

Proceedings of the 38th International Conference on Machine Learning, 2021

Ease.ML: A Lifecycle Management System for Machine Learning.

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

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

Online Active Model Selection for Pre-trained Classifiers.

Mohammad Reza Karimi, Nezihe Merve Gürel, Bojan Karlas, Johannes Rausch, Ce Zhang, Andreas Krause

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Compressive Sensing Using Iterative Hard Thresholding With Low Precision Data Representation: Theory and Applications.

Nezihe Merve Gürel, Kaan Kara, Alen Stojanov, Tyler M. Smith, Thomas Lemmin, Dan Alistarh, Markus Püschel, Ce Zhang

IEEE Trans. Signal Process., 2020

Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions.

Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang

Proc. VLDB Endow., 2020

Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph.

Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou

CoRR, 2020

2019

Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms.

Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song

Proc. VLDB Endow., 2019

An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation.

Nezihe Merve Gürel, Hansheng Ren, Yujing Wang, Hui Xue, Yaming Yang, Ce Zhang

CoRR, 2019

Towards Efficient Data Valuation Based on the Shapley Value.

Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Compressive Sensing with Low Precision Data Representation: Radio Astronomy and Beyond.

Nezihe Merve Gürel, Kaan Kara, Dan Alistarh, Ce Zhang

CoRR, 2018

Towards More Accurate Radio Telescope Images.

Nezihe Merve Gürel

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Denoising radio interferometric images by subspace clustering.

Nezihe Merve Gürel, Paul Hurley, Matthieu Simeoni

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017