Urner, Ruth

26 publications

ALT 2025 Refining the Sample Complexity of Comparative Learning Sajad Ashkezari, Ruth Urner

COLT 2025 Simplifying Adversarially Robust PAC Learning with Tolerance Hassan Ashtiani, Vinayak Pathak, Ruth Urner

COLT 2024 On the Computability of Robust PAC Learning Pascale Gourdeau, Lechner. Tosca, Ruth Urner

ALT 2023 Adversarially Robust Learning with Tolerance Hassan Ashtiani, Vinayak Pathak, Ruth Urner

NeurIPS 2023 Adversarially Robust Learning with Uncertain Perturbation Sets Tosca Lechner, Vinayak Pathak, Ruth Urner

AISTATS 2023 Precision Recall Cover: A Method for Assessing Generative Models Fasil Cheema, Ruth Urner

ICML 2023 Strategic Classification with Unknown User Manipulations Tosca Lechner, Ruth Urner, Shai Ben-David

AAAI 2022 Learning Losses for Strategic Classification Tosca Lechner, Ruth Urner

UAI 2021 Identifying Regions of Trusted Predictions Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner

COLT 2021 Open Problem: Are All VC-Classes CPAC Learnable? Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner

ICML 2020 Black-Box Certification and Learning Under Adversarial Perturbations Hassan Ashtiani, Vinayak Pathak, Ruth Urner

ALT 2020 On Learnability Wih Computable Learners Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner

COLT 2019 When Can Unlabeled Data Improve the Learning Rate? Christina Göpfert, Shai Ben-David, Olivier Bousquet, Sylvain Gelly, Ilya Tolstikhin, Ruth Urner

NeurIPS 2016 Active Nearest-Neighbor Learning in Metric Spaces Aryeh Kontorovich, Sivan Sabato, Ruth Urner

NeurIPS 2016 Lifelong Learning with Weighted Majority Votes Anastasia Pentina, Ruth Urner

ALT 2016 On Version Space Compression Shai Ben-David, Ruth Urner

ICML 2015 Active Nearest Neighbors in Changing Environments Christopher Berlind, Ruth Urner

COLT 2015 Efficient Learning of Linear Separators Under Bounded Noise Pranjal Awasthi, Maria-Florina Balcan, Nika Haghtalab, Ruth Urner

COLT 2015 Hierarchical Label Queries with Data-Dependent Partitions Samory Kpotufe, Ruth Urner, Shai Ben-David

COLT 2014 The Sample Complexity of Agnostic Learning Under Deterministic Labels Shai Ben-David, Ruth Urner

UAI 2013 Generative Multiple-Instance Learning Models for Quantitative Electromyography Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte

ICML 2013 Monochromatic Bi-Clustering Sharon Wulff, Ruth Urner, Shai Ben-David

COLT 2013 PLAL: Cluster-Based Active Learning Ruth Urner, Sharon Wulff, Shai Ben-David

AISTATS 2012 Learning from Weak Teachers Ruth Urner, Shai Ben David, Ohad Shamir

ALT 2012 On the Hardness of Domain Adaptation and the Utility of Unlabeled Target Samples Shai Ben-David, Ruth Urner

ICML 2011 Access to Unlabeled Data Can Speed up Prediction Time Ruth Urner, Shai Shalev-Shwartz, Shai Ben-David