Teemu Roos
12 papers · 2011–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🏃 Academic Marathon (14) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6)
🧭
Keyword Pioneer
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(14)
🏆
Keyword Champion
(3)
🧬
Topic Evolution
💎
Century Club
(11)
📈
Trend Setter
🗃️
Keyword Collector
(63)
Conferences
JMLR (3)
AAAI (2)
AISTATS (2)
NIPS (2)
ACML (1)
ALT (1)
PGM (1)
Top co-authors
Research topics
Keywords
structure learning
(4)
normalized maximum likelihood
(3)
approximate nearest neighbor
(2)
approximate nearest neighbor search
(2)
nearest neighbor search
(2)
explainable ai
(2)
index structure
(2)
minimax regret
(2)
ai literacy
(2)
partition-based indexing
(2)
dirichlet prior
(2)
multilabel classification
(2)
parameter learning
(1)
stochastic process
(1)
batch learning
(1)
minimax optimality
(1)
bayesian inference
(1)
discriminative learning
(1)
sequential prediction
(1)
mutual information
(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
NIPS 2024
A Multilabel Classification Framework for Approximate Nearest Neighbor Search
NIPS 2022
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures
AISTATS 2018
Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets
ALT 2018
Learning Non-parametric Markov Networks with Mutual Information
PGM 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