Koivisto, Mikko

44 publications

UAI 2025 Quantum Speedups for Bayesian Network Structure Learning Juha Harviainen, Kseniya Rychkova, Mikko Koivisto

JAIR 2024 Approximate Counting of Linear Extensions in Practice Topi Talvitie, Mikko Koivisto

ICML 2024 Estimating the Permanent by Nesting Importance Sampling Juha Harviainen, Mikko Koivisto

UAI 2024 Faster Perfect Sampling of Bayesian Network Structures Juha Harviainen, Mikko Koivisto

AAAI 2023 A Faster Practical Approximation Scheme for the Permanent Juha Harviainen, Mikko Koivisto

UAI 2023 On Inference and Learning with Probabilistic Generating Circuits Juha Harviainen, Vaidyanathan Peruvemba Ramaswamy, Mikko Koivisto

UAI 2023 Revisiting Bayesian Network Learning with Small Vertex Cover Juha Harviainen, Mikko Koivisto

NeurIPS 2022 Trustworthy Monte Carlo Juha Harviainen, Mikko Koivisto, Petteri Kaski

NeurIPS 2021 Approximating the Permanent with Deep Rejection Sampling Juha Harviainen, Antti Röyskö, Mikko Koivisto

AAAI 2020 A Bayesian Approach for Estimating Causal Effects from Observational Data Johan Pensar, Topi Talvitie, Antti Hyttinen, Mikko Koivisto

AAAI 2020 Error-Correcting and Verifiable Parallel Inference in Graphical Models Negin Karimi, Petteri Kaski, Mikko Koivisto

UAI 2020 Layering-MCMC for Structure Learning in Bayesian Networks Jussi Viinikka, Mikko Koivisto

NeurIPS 2020 Towards Scalable Bayesian Learning of Causal DAGs Jussi Viinikka, Antti Hyttinen, Johan Pensar, Mikko Koivisto

MLJ 2019 Algorithms for Learning Parsimonious Context Trees Ralf Eggeling, Ivo Grosse, Mikko Koivisto

AAAI 2019 Counting and Sampling Markov Equivalent Directed Acyclic Graphs Topi Talvitie, Mikko Koivisto

UAI 2019 Exact Sampling of Directed Acyclic Graphs from Modular Distributions Topi Talvitie, Aleksis Vuoksenmaa, Mikko Koivisto

AISTATS 2019 On Structure Priors for Learning Bayesian Networks Ralf Eggeling, Jussi Viinikka, Aleksis Vuoksenmaa, Mikko Koivisto

IJCAI 2018 A Scalable Scheme for Counting Linear Extensions Topi Talvitie, Kustaa Kangas, Teppo Mikael Niinimäki, Mikko Koivisto

AAAI 2018 Counting Linear Extensions in Practice: MCMC Versus Exponential Monte Carlo Topi Talvitie, Kustaa Kangas, Teppo Mikael Niinimäki, Mikko Koivisto

MLJ 2018 Empirical Hardness of Finding Optimal Bayesian Network Structures: Algorithm Selection and Runtime Prediction Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki

PGM 2018 Finding Optimal Bayesian Networks with Local Structure Topi Talvitie, Ralf Eggeling, Mikko Koivisto

AISTATS 2018 Intersection-Validation: A Method for Evaluating Structure Learning Without Ground Truth Jussi Viinikka, Ralf Eggeling, Mikko Koivisto

IJCAI 2017 The Mixing of Markov Chains on Linear Extensions in Practice Topi Talvitie, Teppo Mikael Niinimäki, Mikko Koivisto

IJCAI 2016 Counting Linear Extensions of Sparse Posets Kustaa Kangas, Teemu Hankala, Teppo Mikael Niinimäki, Mikko Koivisto

UAI 2016 Pruning Rules for Learning Parsimonious Context Trees Ralf Eggeling, Mikko Koivisto

JMLR 2016 Structure Discovery in Bayesian Networks by Sampling Partial Orders Teppo Niinimäki, Pekka Parviainen, Mikko Koivisto

UAI 2015 Averaging of Decomposable Graphs by Dynamic Programming and Sampling Kustaa Kangas, Teppo Mikael Niinimäki, Mikko Koivisto

ICML 2015 Dealing with Small Data: On the Generalization of Context Trees Ralf Eggeling, Mikko Koivisto, Ivo Grosse

NeurIPS 2014 Learning Chordal Markov Networks by Dynamic Programming Kustaa Kangas, Mikko Koivisto, Teppo Niinimäki

AAAI 2014 Predicting the Hardness of Learning Bayesian Networks Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki

IJCAI 2013 Annealed Importance Sampling for Structure Learning in Bayesian Networks Teppo Mikael Niinimäki, Mikko Koivisto

JMLR 2013 Finding Optimal Bayesian Networks Using Precedence Constraints Pekka Parviainen, Mikko Koivisto

UAI 2013 Treedy: A Heuristic for Counting and Sampling Subsets Teppo Niinimaki, Mikko Koivisto

AAAI 2012 On Finding Optimal Polytrees Serge Gaspers, Mikko Koivisto, Mathieu Liedloff, Sebastian Ordyniak, Stefan Szeider

ECML-PKDD 2011 Ancestor Relations in the Presence of Unobserved Variables Pekka Parviainen, Mikko Koivisto

UAI 2011 Partial Order MCMC for Structure Discovery in Bayesian Networks Teppo Niinimaki, Pekka Parviainen, Mikko Koivisto

AISTATS 2010 Bayesian Structure Discovery in Bayesian Networks with Less Space Pekka Parviainen, Mikko Koivisto

UAI 2009 Exact Structure Discovery in Bayesian Networks with Less Space Pekka Parviainen, Mikko Koivisto

UAI 2006 Advances in Exact Bayesian Structure Discovery in Bayesian Networks Mikko Koivisto

ECML-PKDD 2006 Bayesian Learning with Mixtures of Trees Jussi Kollin, Mikko Koivisto

COLT 2006 Parent Assignment Is Hard for the MDL, AIC, and NML Costs Mikko Koivisto

ICML 2005 Computational Aspects of Bayesian Partition Models Mikko Koivisto, Kismat Sood

JMLR 2004 Exact Bayesian Structure Discovery in Bayesian Networks Mikko Koivisto, Kismat Sood

ALT 2004 Hidden Markov Modelling Techniques for Haplotype Analysis Mikko Koivisto, Teemu Kivioja, Heikki Mannila, Pasi Rastas, Esko Ukkonen