Nezihe Merve Gürel

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 27

Top Topics

Exponential Decay

Data Representation

Nearest Neighbor Classifier

Top Venues

Proc. VLDB Endow.

Publications

Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits. CoRR (2024)
Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits. ICLR (2024)
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)
Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models. CoRR (2024)
Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos E. Nikolakakis, Amin Karbasi, Dionysis S. Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning. CoRR (2023)
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 D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR (2023)
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)
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)
Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic, Ce Zhang, Bo Li
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks. CoRR (2021)
Cédric Renggli, Luka Rimanic, Nezihe Merve Gürel, Bojan Karlas, Wentao Wu, Ce Zhang
A Data Quality-Driven View of MLOps. CoRR (2021)
Mohammad Reza Karimi, Nezihe Merve Gürel, Bojan Karlas, Johannes Rausch, Ce Zhang, Andreas Krause
Online Active Model Selection for Pre-trained Classifiers. AISTATS (2021)
Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic, Ce Zhang, Bo Li
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks. ICML (2021)
Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, 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)
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) (2021)
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) (2020)
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 (2020)
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 (2020)
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 (2020)
Mohammad Reza Karimi, Nezihe Merve Gürel, Bojan Karlas, Johannes Rausch, Ce Zhang, Andreas Krause
Online Active Model Selection for Pre-trained Classifiers. CoRR (2020)
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)
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 (2019)
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) (2019)
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 (2019)
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 (2019)
Nezihe Merve Gürel
Towards More Accurate Radio Telescope Images. CVPR Workshops (2018)
Nezihe Merve Gürel, Kaan Kara, Dan Alistarh, Ce Zhang
Compressive Sensing with Low Precision Data Representation: Radio Astronomy and Beyond. CoRR (2018)
Nezihe Merve Gürel, Paul Hurley, Matthieu Simeoni
Denoising radio interferometric images by subspace clustering. ICIP (2017)