Ruth Urner
23 papers · 2012–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (28) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π¬
Deep Specialist
(12)
π§
Keyword Pioneer
π
Conference Pioneer
π
Trend Setter
β
The Questioner
(2)
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(93)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(22)
Learning Types
(16)
Optimization & Theory
(14)
Core Methods
(8)
Artificial Intelligence
(7)
Core AI
(6)
Learning Paradigms
(3)
Mathematics & Optimization
(2)
Application Areas
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Applications
(1)
Mathematics
(1)
Models
(1)
Optimization
(1)
Keywords
active learning
(7)
sample complexity
(5)
nearest neighbor
(4)
pac learning
(4)
robust learning
(4)
vc dimension
(3)
semi-supervised learning
(3)
label complexity
(3)
adversarial robustness
(2)
strategic classification
(2)
perturbation set
(2)
nearest neighbor classifier
(2)
sample compression
(2)
metric space
(2)
model selection
(1)
margin-based learning
(1)
uncertainty quantification
(1)
representation learning
(1)
game theory
(1)
domain adaptation
(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 Tolerance
ALT 2023
Adversarially Robust Learning with Uncertain Perturbation Sets
NeurIPS 2023
Precision Recall Cover: A Method For Assessing Generative Models
AISTATS 2023
Strategic Classification with Unknown User Manipulations
ICML 2023
Learning Losses for Strategic Classification
AAAI 2022
Identifying regions of trusted predictions
UAI 2021
Open Problem: Are all VC-classes CPAC learnable?
COLT 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
NeurIPS 2016
Lifelong Learning with Weighted Majority Votes
NeurIPS 2016
Active Nearest Neighbors in Changing Environments
ICML 2015
Efficient Learning of Linear Separators under Bounded Noise
COLT 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