Teppo Niinimaki

According to our database, Teppo Niinimaki authored at least 12 papers between 2011 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

Representation transfer for differentially private drug sensitivity prediction.

Teppo Mikael Niinimäki, Mikko A. Heikkilä, Antti Honkela, Samuel Kaski

Bioinform., 2019

2018

A Scalable Scheme for Counting Linear Extensions.

Topi Talvitie, Kustaa Kangas, Teppo Mikael Niinimäki, Mikko Koivisto

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Counting Linear Extensions in Practice: MCMC Versus Exponential Monte Carlo.

Topi Talvitie, Kustaa Kangas, Teppo Mikael Niinimäki, Mikko Koivisto

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

The Mixing of Markov Chains on Linear Extensions in Practice.

Topi Talvitie, Teppo Mikael Niinimäki, Mikko Koivisto

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Structure Discovery in Bayesian Networks by Sampling Partial Orders.

Teppo Niinimaki, Pekka Parviainen, Mikko Koivisto

J. Mach. Learn. Res., 2016

Counting Linear Extensions of Sparse Posets.

Kustaa Kangas, Teemu Hankala, Teppo Mikael Niinimäki, Mikko Koivisto

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Averaging of Decomposable Graphs by Dynamic Programming and Sampling.

Kustaa Kangas, Teppo Mikael Niinimäki, Mikko Koivisto

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2014

Learning Chordal Markov Networks by Dynamic Programming.

Kustaa Kangas, Mikko Koivisto, Teppo Mikael Niinimäki

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Treedy: A Heuristic for Counting and Sampling Subsets.

Teppo Niinimaki, Mikko Koivisto

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Annealed Importance Sampling for Structure Learning in Bayesian Networks.

Teppo Mikael Niinimäki, Mikko Koivisto

Proceedings of the IJCAI 2013, 2013

2012

Local Structure Discovery in Bayesian Networks.

Teppo Niinimaki, Pekka Parviainen

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2011

Partial Order MCMC for Structure Discovery in Bayesian Networks.

Teppo Niinimaki, Pekka Parviainen, Mikko Koivisto

Proceedings of the UAI 2011, 2011