Måns Magnusson
10 papers · 2017–2025 · 6 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
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (26) 🏆 Keyword Champion (2)
🧬
Topic Evolution
🗃️
Keyword Collector
(52)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Natural Language Processing
(4)
Resources & Methods
(3)
Computer Science
(2)
Deep Learning
(2)
Applications · Computer Science
(2)
Applications · Natural Language Processing
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Core AI
(2)
Core Methods
(2)
Learning Types
(2)
Mathematics & Optimization
(1)
Keywords
named entity recognition
(2)
legal text
(2)
probabilistic programming
(2)
posterior approximation
(2)
bayesian inference
(2)
topic model
(2)
leave-one-out cross-validation
(2)
bayesian model comparison
(2)
text classification
(1)
model evaluation
(1)
approximate inference
(1)
topic modeling
(1)
corpus linguistics
(1)
markov chain monte carlo
(1)
information extraction
(1)
variational inference
(1)
sparse optimization
(1)
text mining
(1)
hierarchical dirichlet process
(1)
posterior distribution
(1)
Papers
Detecting Legal Citations in United Kingdom Court Judgments
EMNLP 2025
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms
AISTATS 2025
The Swedish Parliament Corpus 1867 – 2022
COLING 2024
The Cambridge Law Corpus: A Dataset for Legal AI Research
NeurIPS 2023
Leave-One-Out Cross-Validation for Bayesian Model Comparison in Large Data
AISTATS 2020
Robust, Accurate Stochastic Optimization for Variational Inference
NeurIPS 2020
Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models
EMNLP 2020
Bayesian leave-one-out cross-validation for large data
ICML 2019
Interpretable Word Embeddings via Informative Priors
EMNLP 2019
Pulling Out the Stops: Rethinking Stopword Removal for Topic Models
EACL 2017