Ruth Urner

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 24

Top Venues

CoRR

COLT

ALT

ICML

University of Waterloo, Ontario, Canada (PHD)

Education History

University of Waterloo, Ontario, Canada

PHD

Publications

Pascale Gourdeau, Tosca Lechner, Ruth Urner
On the Computability of Robust PAC Learning. COLT (2024)
Pascale Gourdeau, Tosca Lechner, Ruth Urner
On the Computability of Robust PAC Learning. CoRR (2024)
Hassan Ashtiani, Vinayak Pathak, Ruth Urner
Adversarially Robust Learning with Tolerance. ALT (2023)
Fasil Cheema, Ruth Urner
Precision Recall Cover: A Method For Assessing Generative Models. AISTATS (2023)
Tosca Lechner, Vinayak Pathak, Ruth Urner
Adversarially Robust Learning with Uncertain Perturbation Sets. NeurIPS (2023)
Tosca Lechner, Ruth Urner, Shai Ben-David
Strategic Classification with Unknown User Manipulations. ICML (2023)
Hassan Ashtiani, Vinayak Pathak, Ruth Urner
Adversarially Robust Learning with Tolerance. CoRR (2022)
Tosca Lechner, Ruth Urner
Learning Losses for Strategic Classification. CoRR (2022)
Tosca Lechner, Ruth Urner
Learning Losses for Strategic Classification. AAAI (2022)
Sadia Chowdhury, Ruth Urner
Robustness Should Not Be at Odds with Accuracy. FORC (2022)
Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner
Open Problem: Are all VC-classes CPAC learnable? COLT (2021)
Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner
Identifying regions of trusted predictions. UAI (2021)
Sadia Chowdhury, Ruth Urner
On the (Un-)Avoidability of Adversarial Examples. CoRR (2021)
Hassan Ashtiani, Vinayak Pathak, Ruth Urner
Black-box Certification and Learning under Adversarial Perturbations. CoRR (2020)
Hassan Ashtiani, Vinayak Pathak, Ruth Urner
Black-box Certification and Learning under Adversarial Perturbations. ICML (2020)
Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner
On Learnability wih Computable Learners. ALT (2020)
Christina Göpfert, Shai Ben-David, Olivier Bousquet, Sylvain Gelly, Ilya O. Tolstikhin, Ruth Urner
When can unlabeled data improve the learning rate? CoRR (2019)
Christina Göpfert, Shai Ben-David, Olivier Bousquet, Sylvain Gelly, Ilya O. Tolstikhin, Ruth Urner
When can unlabeled data improve the learning rate? COLT (2019)
Aryeh Kontorovich, Sivan Sabato, Ruth Urner
Active Nearest-Neighbor Learning in Metric Spaces. J. Mach. Learn. Res. 18 (2017)
Anastasia Pentina, Ruth Urner
Lifelong Learning with Weighted Majority Votes. NIPS (2016)
Shai Ben-David, Ruth Urner
On Version Space Compression. ALT (2016)
Maria-Florina Balcan, Shai Ben-David, Ruth Urner, Ulrike von Luxburg
Foundations of Unsupervised Learning (Dagstuhl Seminar 16382). Dagstuhl Reports 6 (9) (2016)
Aryeh Kontorovich, Sivan Sabato, Ruth Urner
Active Nearest-Neighbor Learning in Metric Spaces. CoRR (2016)
Aryeh Kontorovich, Sivan Sabato, Ruth Urner
Active Nearest-Neighbor Learning in Metric Spaces. NIPS (2016)
Pranjal Awasthi, Maria-Florina Balcan, Nika Haghtalab, Ruth Urner
Efficient Learning of Linear Separators under Bounded Noise. CoRR (2015)
Samory Kpotufe, Ruth Urner, Shai Ben-David
Hierarchical Label Queries with Data-Dependent Partitions. COLT (2015)
Christopher Berlind, Ruth Urner
Active Nearest Neighbors in Changing Environments. ICML (2015)
Pranjal Awasthi, Maria-Florina Balcan, Nika Haghtalab, Ruth Urner
Efficient Learning of Linear Separators under Bounded Noise. COLT (2015)
Maria-Florina Balcan, Amit Daniely, Ruta Mehta, Ruth Urner, Vijay V. Vazirani
Learning Economic Parameters from Revealed Preferences. WINE (2014)
Maria-Florina Balcan, Amit Daniely, Ruta Mehta, Ruth Urner, Vijay V. Vazirani
Learning Economic Parameters from Revealed Preferences. CoRR (2014)
Shai Ben-David, Ruth Urner
The sample complexity of agnostic learning under deterministic labels. COLT (2014)
Shai Ben-David, Ruth Urner
Domain adaptation-can quantity compensate for quality? Ann. Math. Artif. Intell. 70 (3) (2014)
Shai Ben-David, Ruth Urner
The sample complexity of agnostic learning with deterministic labels. ISAIM (2014)
Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte
Generative Multiple-Instance Learning Models For Quantitative Electromyography. CoRR (2013)
Sharon Wulff, Ruth Urner, Shai Ben-David
Monochromatic Bi-Clustering. ICML (2) (2013)
Ruth Urner, Sharon Wulff, Shai Ben-David
PLAL: Cluster-based active learning. COLT (2013)
Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte
Generative Multiple-Instance Learning Models For Quantitative Electromyography. UAI (2013)
Shai Ben-David, Ruth Urner
On the Hardness of Domain Adaptation and the Utility of Unlabeled Target Samples. ALT (2012)
Ruth Urner, Shai Ben-David, Ohad Shamir
Learning from Weak Teachers. AISTATS (2012)
Shai Ben-David, Shai Shalev-Shwartz, Ruth Urner
Domain Adaptation--Can Quantity compensate for Quality?. ISAIM (2012)
Ruth Urner, Shai Shalev-Shwartz, Shai Ben-David
Access to Unlabeled Data can Speed up Prediction Time. ICML (2011)
Colleen Swanson, Ruth Urner, Edward Lank
Naïve Security in a Wi-Fi World. IFIPTM (2010)
Haiko Müller, Ruth Urner
On a disparity between relative cliquewidth and relative NLC-width. Discret. Appl. Math. 158 (7) (2010)

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Publication Activity (10 Years)

Top Topics

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Ruth Urner