Alexander Ratner
7 papers · 2017–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (12) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
π
Keyword Champion
(2)
π
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(5)
Learning Types Β· Machine Learning
(4)
Artificial Intelligence
(3)
Core Methods
(3)
Core AI
(2)
Deep Learning
(1)
Natural Language Processing
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Learning Types Β· Deep Learning
(1)
Resources & Methods
(1)
Keywords
weak supervision
(3)
dependency structure
(2)
structure learning
(2)
label noise
(1)
generalization error
(1)
robust pca
(1)
matrix completion
(1)
variance regularization
(1)
generative model
(1)
generalization bound
(1)
model ranking
(1)
retrieval-augmented generation
(1)
long context
(1)
unlabeled data
(1)
markov process
(1)
feature averaging
(1)
invariant kernel
(1)
attention calibration
(1)
graph ensemble
(1)
kernel methods
(1)
Papers
Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators
AAAI 2026
Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization
ACL 2024
Creating Training Sets via Weak Indirect Supervision
ICLR 2022
A Kernel Theory of Modern Data Augmentation
ICML 2019
Learning Dependency Structures for Weak Supervision Models
ICML 2019
Training Complex Models with Multi-Task Weak Supervision
AAAI 2019
Learning the Structure of Generative Models without Labeled Data
ICML 2017