Roos, Teemu

16 publications

AAAI 2025 An XAI Social Media Platform for Teaching K-12 Students AI-Driven Profiling, Clustering, and Engagement-Based Recommending Nicolas Pope, Juho Kahila, Henriikka Vartiainen, Mohammed Saqr, Sonsoles López-Pernas, Teemu Roos, Jari Laru, Matti Tedre

JMLR 2024 A Multilabel Classification Framework for Approximate Nearest Neighbor Search Ville Hyvönen, Elias Jääsaari, Teemu Roos

NeurIPS 2024 LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search Elias Jääsaari, Ville Hyvönen, Teemu Roos

NeurIPS 2022 A Multilabel Classification Framework for Approximate Nearest Neighbor Search Ville Hyvönen, Elias Jääsaari, Teemu Roos

PGM 2018 Learning Non-Parametric Markov Networks with Mutual Information Janne Leppä-Aho, Santeri Räisänen, Xiao Yang, Teemu Roos

ALT 2018 Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets Elias Jääsaari, Janne Leppä-aho, Tomi Silander, Teemu Roos

AISTATS 2018 Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures Tomi Silander, Janne Leppä-aho, Elias Jääsaari, Teemu Roos

JMLR 2015 Achievability of Asymptotic Minimax Regret by Horizon-Dependent and Horizon-Independent Strategies Kazuho Watanabe, Teemu Roos

AISTATS 2014 Robust Learning of Inhomogeneous PMMs Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse

ACML 2013 Achievability of Asymptotic Minimax Regret in Online and Batch Prediction Kazuho Watanabe, Teemu Roos, Petri Myllymäki

JMLR 2011 Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood Alexandra M. Carvalho, Teemu Roos, Arlindo L. Oliveira, Petri Myllymäki

AISTATS 2009 Locally Minimax Optimal Predictive Modeling with Bayesian Networks Tomi Silander, Teemu Roos, Petri Myllymäki

NeurIPS 2005 Generalization to Unseen Cases Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri

MLJ 2005 On Discriminative Bayesian Network Classifiers and Logistic Regression Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri

AISTATS 2005 On the Behavior of MDL Denoising Teemu Roos, Petri Myllymäki, Henry Tirri

IJCAI 2003 When Discriminative Learning of Bayesian Network Parameters Is Easy Hannes Wettig, Peter Grünwald, Teemu Roos, Petri Myllymäki, Henry Tirri