Ruth Urner

According to our database, Ruth Urner authored at least 38 papers between 2010 and 2024.

Collaborative distances:

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

2024

Calibration through the Lens of Interpretability.

Alireza Torabian, Ruth Urner

CoRR, 2024

Investigating Calibrated Classification Scores Through the Lens of Interpretability.

Alireza Torabian, Ruth Urner

Proceedings of the Explainable Artificial Intelligence, 2024

An Axiomatic Perspective on Anomaly Detection.

Chester Wyke, Ruth Urner

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

On the Computability of Robust PAC Learning.

Pascale Gourdeau, Tosca Lechner, Ruth Urner

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Adversarially Robust Learning with Uncertain Perturbation Sets.

Tosca Lechner, Vinayak Pathak, Ruth Urner

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Strategic Classification with Unknown User Manipulations.

Tosca Lechner, Ruth Urner, Shai Ben-David

Proceedings of the International Conference on Machine Learning, 2023

Adversarially Robust Learning with Tolerance.

Hassan Ashtiani, Vinayak Pathak, Ruth Urner

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

Precision Recall Cover: A Method For Assessing Generative Models.

Fasil Cheema, Ruth Urner

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Robustness Should Not Be at Odds with Accuracy.

Sadia Chowdhury, Ruth Urner

Proceedings of the 3rd Symposium on Foundations of Responsible Computing, 2022

Learning Losses for Strategic Classification.

Tosca Lechner, Ruth Urner

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

On the (Un-)Avoidability of Adversarial Examples.

Sadia Chowdhury, Ruth Urner

CoRR, 2021

Identifying regions of trusted predictions.

Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Open Problem: Are all VC-classes CPAC learnable?

Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner

Proceedings of the Conference on Learning Theory, 2021

2020

Black-box Certification and Learning under Adversarial Perturbations.

Hassan Ashtiani, Vinayak Pathak, Ruth Urner

Proceedings of the 37th International Conference on Machine Learning, 2020

On Learnability wih Computable Learners.

Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner

Proceedings of the Algorithmic Learning Theory, 2020

2019

When can unlabeled data improve the learning rate?

Christina Göpfert, Shai Ben-David, Olivier Bousquet, Sylvain Gelly, Ilya O. Tolstikhin, Ruth Urner

Proceedings of the Conference on Learning Theory, 2019

2017

Active Nearest-Neighbor Learning in Metric Spaces.

Aryeh Kontorovich, Sivan Sabato, Ruth Urner

J. Mach. Learn. Res., 2017

2016

Active Learning - Modern Learning Theory.

Maria-Florina Balcan, Ruth Urner

Encyclopedia of Algorithms, 2016

Foundations of Unsupervised Learning (Dagstuhl Seminar 16382).

Maria-Florina Balcan, Shai Ben-David, Ruth Urner, Ulrike von Luxburg

Dagstuhl Reports, 2016

Lifelong Learning with Weighted Majority Votes.

Anastasia Pentina, Ruth Urner

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

On Version Space Compression.

Shai Ben-David, Ruth Urner

Proceedings of the Algorithmic Learning Theory - 27th International Conference, 2016

2015

Active Nearest Neighbors in Changing Environments.

Christopher Berlind, Ruth Urner

Proceedings of the 32nd International Conference on Machine Learning, 2015

Hierarchical Label Queries with Data-Dependent Partitions.

Samory Kpotufe, Ruth Urner, Shai Ben-David

Proceedings of The 28th Conference on Learning Theory, 2015

Efficient Learning of Linear Separators under Bounded Noise.

Pranjal Awasthi, Maria-Florina Balcan, Nika Haghtalab, Ruth Urner

Proceedings of The 28th Conference on Learning Theory, 2015

2014

Domain adaptation-can quantity compensate for quality?

Shai Ben-David, Ruth Urner

Ann. Math. Artif. Intell., 2014

Learning Economic Parameters from Revealed Preferences.

Maria-Florina Balcan, Amit Daniely, Ruta Mehta, Ruth Urner, Vijay V. Vazirani

Proceedings of the Web and Internet Economics - 10th International Conference, 2014

The sample complexity of agnostic learning with deterministic labels.

Shai Ben-David, Ruth Urner

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2014

The sample complexity of agnostic learning under deterministic labels.

Shai Ben-David, Ruth Urner

Proceedings of The 27th Conference on Learning Theory, 2014

2013

Learning with non-Standard Supervision.

Ruth Urner

PhD thesis, 2013

Generative Multiple-Instance Learning Models For Quantitative Electromyography.

Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Monochromatic Bi-Clustering.

Sharon Wulff, Ruth Urner, Shai Ben-David

Proceedings of the 30th International Conference on Machine Learning, 2013

PLAL: Cluster-based active learning.

Ruth Urner, Sharon Wulff, Shai Ben-David

Proceedings of the COLT 2013, 2013

2012

Learning from Weak Teachers.

Ruth Urner, Shai Ben-David, Ohad Shamir

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Domain Adaptation--Can Quantity compensate for Quality?.

Shai Ben-David, Shai Shalev-Shwartz, Ruth Urner

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2012

On the Hardness of Domain Adaptation and the Utility of Unlabeled Target Samples.

Shai Ben-David, Ruth Urner

Proceedings of the Algorithmic Learning Theory - 23rd International Conference, 2012

2011

Access to Unlabeled Data can Speed up Prediction Time.

Ruth Urner, Shai Shalev-Shwartz, Shai Ben-David

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

On a disparity between relative cliquewidth and relative NLC-width.

Haiko Müller, Ruth Urner

Discret. Appl. Math., 2010

Naïve Security in a Wi-Fi World.

Colleen Swanson, Ruth Urner, Edward Lank

Proceedings of the Trust Management IV - 4th IFIP WG 11.11 International Conference, 2010