Teemu Roos
13 papers · 2005–2026 · 7 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 ↓+6 more ↓ Show less ↑
🗺️ Taxonomy Completionist (23) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(3)
🧬
Topic Evolution
📈
Trend Setter
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
🗃️
Keyword Collector
(64)
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(6)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Computer Science
(2)
Data Science & Analytics
(2)
Mathematics & Optimization
(2)
Applications · Computer Science
(2)
Applications · Data Science & Analytics
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Core AI
(2)
Interdisciplinary
(1)
Application Areas
(1)
Education
(1)
Keywords
structure learning
(4)
normalized maximum likelihood
(3)
explainable ai
(2)
approximate nearest neighbor search
(2)
multi-label classification
(2)
approximate nearest neighbor
(2)
minimax regret
(2)
index structure
(2)
ai literacy
(2)
partition-based indexing
(2)
dirichlet prior
(2)
nearest neighbor search
(2)
stochastic process
(1)
batch learning
(1)
minimax optimality
(1)
discriminative learning
(1)
bayesian inference
(1)
mutual information
(1)
robust learning
(1)
asymptotic analysis
(1)
Papers
Breakable Machine: A K–12 Classroom Game for Transformative AI Literacy Through Spoofing and eXplainable AI (XAI)
AAAI 2026
An XAI Social Media Platform for Teaching K-12 Students AI-Driven Profiling, Clustering, and Engagement-Based Recommending
AAAI 2025
A Multilabel Classification Framework for Approximate Nearest Neighbor Search
JMLR 2024
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search
NeurIPS 2024
A Multilabel Classification Framework for Approximate Nearest Neighbor Search
NeurIPS 2022
Learning Non-parametric Markov Networks with Mutual Information
PGM 2018
Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets
ALT 2018
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures
AISTATS 2018
Achievability of Asymptotic Minimax Regret by Horizon-Dependent and Horizon-Independent Strategies
JMLR 2015
Robust learning of inhomogeneous PMMs
AISTATS 2014
Achievability of Asymptotic Minimax Regret in Online and Batch Prediction
ACML 2013
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood
JMLR 2011
Locally Minimax Optimal Predictive Modeling with Bayesian Networks
AISTATS 2005