← Authors

Ruth Urner

23 papers · 2012–2025 · 8 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (8) πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion (4) πŸ—ƒοΈ Keyword Collector (81) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (23) πŸ”₯ Unstoppable (8) ❓ The Questioner (2)

Conferences

COLT (8) ICML (4) ALT (3) NIPS (3) AISTATS (2) AAAI (1) JMLR (1) UAI (1)

Top co-authors

Shai Ben-David (9) Tosca Lechner (6) Vinayak Pathak (4) Nivasini Ananthakrishnan (3) Hassan Ashtiani (3) Sivan Sabato (2) Sushant Agarwal (2) Aryeh Kontorovich (2) Sharon Wulff (2) Christina GΓΆpfert (1)

Keywords

active learning (7) robust learning (4) pac learning (4) nearest neighbor (4) sample complexity (3) semi-supervised learning (3) label complexity (3) adversarial robustness (2) strategic classification (2) metric space (2) perturbation set (2) vc dimension (2) nearest neighbor classifier (2) sample compression (2) hierarchical clustering (1) conformal prediction (1) margin-based learning (1) representation learning (1) uncertainty quantification (1) covariate shift (1)

Papers

Refining the Sample Complexity of Comparative Learning ALT 2025
Simplifying Adversarially Robust PAC Learning With Tolerance COLT 2025
On the Computability of Robust PAC Learning COLT 2024
Adversarially Robust Learning with Uncertain Perturbation Sets NIPS 2023
Precision Recall Cover: A Method For Assessing Generative Models AISTATS 2023
Strategic Classification with Unknown User Manipulations ICML 2023
Adversarially Robust Learning with Tolerance ALT 2023
Learning Losses for Strategic Classification AAAI 2022
Open Problem: Are all VC-classes CPAC learnable? COLT 2021
Identifying regions of trusted predictions UAI 2021
Black-box Certification and Learning under Adversarial Perturbations ICML 2020
On Learnability wih Computable Learners ALT 2020
When can unlabeled data improve the learning rate? COLT 2019
Active Nearest-Neighbor Learning in Metric Spaces JMLR 2018
Active Nearest-Neighbor Learning in Metric Spaces NIPS 2016
Lifelong Learning with Weighted Majority Votes NIPS 2016
Efficient Learning of Linear Separators under Bounded Noise COLT 2015
Active Nearest Neighbors in Changing Environments ICML 2015
Hierarchical Label Queries with Data-Dependent Partitions COLT 2015
The sample complexity of agnostic learning under deterministic labels COLT 2014
Monochromatic Bi-Clustering ICML 2013
PLAL: Cluster-based active learning COLT 2013
Learning from Weak Teachers AISTATS 2012