Gürel, Nezihe Merve

9 publications

AISTATS 2025 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

ICLRW 2025 DeltaMoE: Memory-Efficient Inference for Merged Mixture of Experts with Delta Compression Boyko Borisov, Xiaozhe Yao, Nezihe Merve Gürel, Ana Klimovic

ICML 2024 C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li

ICLR 2024 COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li

DMLR 2024 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 A 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 Karlaš, Ahmed Alaa, Adji Bousso Dieng, Natasha Noy, Vijay Janapa Reddi, James Zou, Praveen Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson

ICLR 2024 Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos Nikolakakis, Amin Karbasi, Dionysios Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas

ICML 2021 Knowledge Enhanced Machine Learning Pipeline Against Diverse Adversarial Attacks Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic, Ce Zhang, Bo Li

AISTATS 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

CVPRW 2018 Towards More Accurate Radio Telescope Images Nezihe Merve Gürel