Ruth Urner
23 papers · 2012–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (8)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π¬
Deep Specialist
(10)
π
Keyword Champion
(4)
ποΈ
Keyword Collector
(81)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(23)
π₯
Unstoppable
(8)
β
The Questioner
(2)
Conferences
COLT (8)
ICML (4)
ALT (3)
NIPS (3)
AISTATS (2)
AAAI (1)
JMLR (1)
UAI (1)
Top co-authors
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