Jordan T. Ash
9 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (27) π Conference Pioneer
π
Renaissance Researcher
(6)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Core AI
(5)
Learning Types
(5)
Deep Learning
(4)
Optimization & Theory
(4)
Natural Language Processing
(2)
Architectures
(2)
Computer Science
(1)
Computer Vision
(1)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic
(1)
Clinical
(1)
Core Methods
(1)
Keywords
deep neural network
(2)
large language model
(2)
batch active learning
(2)
reinforcement learning
(1)
medical imaging
(1)
minimax optimality
(1)
uncertainty quantification
(1)
reinforcement learning from human feedback
(1)
exploration-exploitation tradeoff
(1)
gene expression
(1)
uncertainty sampling
(1)
convolutional neural network
(1)
regret bound
(1)
streaming algorithm
(1)
neural network optimization
(1)
continual learning
(1)
algorithmic reasoning
(1)
plasticity loss
(1)
supervised fine-tuning
(1)
active learning
(1)
Papers
On the Query Complexity of Verifier-Assisted Language Generation
ICML 2025
Self-Improvement in Language Models: The Sharpening Mechanism
ICLR 2025
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning
NeurIPS 2024
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
ICLR 2024
Streaming Active Learning with Deep Neural Networks
ICML 2023
Transformers Learn Shortcuts to Automata
ICLR 2023
Anti-Concentrated Confidence Bonuses For Scalable Exploration
ICLR 2022
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
ICLR 2020
End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations
UAI 2019