Mark Steyvers
12 papers · 2006–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (43) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Trendsetter Combo
(6)
π₯
Mega-Team Β· Squad
π
Keyword Champion
π§
Keyword Pioneer
π
Trend Setter
π
Conference Pioneer
ποΈ
Keyword Collector
(84)
β
The Questioner
(2)
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Core Methods
(8)
Optimization & Theory
(8)
Learning Types
(6)
Natural Language Processing
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Bayesian & Probabilistic Β· Machine Learning
(4)
Core AI
(4)
Data Science & Analytics
(3)
Applications Β· Data Science & Analytics
(3)
Interdisciplinary
(2)
Applications Β· Natural Language Processing
(2)
Generation
(2)
Resources & Methods
(2)
Keywords
bayesian inference
(7)
active learning
(2)
topic modeling
(2)
uncertainty quantification
(2)
markov chain monte carlo
(2)
online learning
(1)
bayesian nonparametrics
(1)
image classification
(1)
latent dirichlet allocation
(1)
few-shot learning
(1)
bayesian learning
(1)
text mining
(1)
in-context learning
(1)
graph structure
(1)
information retrieval
(1)
probabilistic modeling
(1)
document representation
(1)
semantic interpretation
(1)
semi-supervised learning
(1)
unsupervised learning
(1)
Papers
Bayesian Inference for Correlated Human Experts and Classifiers
ICML 2025
Bayesian Online Learning for Consensus Prediction
AISTATS 2024
Perceptions of Linguistic Uncertainty by Language Models and Humans
EMNLP 2024
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
NeurIPS 2023
Active Bayesian Assessment of Black-Box Classifiers
AAAI 2021
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration
NeurIPS 2021
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference
NeurIPS 2020
SAGE: A Hybrid Geopolitical Event Forecasting System
IJCAI 2019
Scoring Workers in Crowdsourcing: How Many Control Questions are Enough?
NeurIPS 2013
Learning concept graphs from text with stick-breaking priors
NeurIPS 2010
The Wisdom of Crowds in the Recollection of Order Information
NeurIPS 2009
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model
NeurIPS 2006