Pekka Parviainen

According to our database, Pekka Parviainen authored at least 31 papers between 2009 and 2024.

Collaborative distances:

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

2024

Exponential-Time Approximation Schemes via Compression.

Tanmay Inamdar, Madhumita Kundu, Pekka Parviainen, M. S. Ramanujan, Saket Saurabh

Proceedings of the 15th Innovations in Theoretical Computer Science Conference, 2024

Discovering Bayesian Networks when Few Variables Matter.

Madhumita Kundu, Pekka Parviainen, Saket Saurabh

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Structural perspective on constraint-based learning of Markov networks.

Tuukka Korhonen, Fedor V. Fomin, Pekka Parviainen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Fair Soft Clustering.

Rune D. Kjærsgaard, Pekka Parviainen, Saket Saurabh, Madhumita Kundu, Line H. Clemmensen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Inspecting class hierarchies in classification-based metric learning models.

Hyeongji Kim, Pekka Parviainen, Terje Berge, Ketil Malde

CoRR, 2023

XAI with Machine Teaching When Humans Are (Not) Informed About the Irrelevant Features.

Brigt Arve Toppe Håvardstun, Cèsar Ferri, José Hernández-Orallo, Pekka Parviainen, Jan Arne Telle

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary.

Hyeongji Kim, Pekka Parviainen, Ketil Malde

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

2022

Realistic mask generation for matter-wave lithography via machine learning.

Johannes Fiedler, Adrià Salvador Palau, Eivind Kristen Osestad, Pekka Parviainen, Bodil Holst

CoRR, 2022

Distance-Ratio-Based Formulation for Metric Learning.

Hyeongji Kim, Pekka Parviainen, Ketil Malde

CoRR, 2022

Convergence of Feedback Arc Set-Based Heuristics for Linear Structural Equation Models.

Pierre Gillot, Pekka Parviainen

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics.

Pierre Gillot, Pekka Parviainen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Learning Bayesian Networks with Cops and Robbers.

Topi Talvitie, Pekka Parviainen

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Scalable Bayesian Network Structure Learning via Maximum Acyclic Subgraph.

Pierre Gillot, Pekka Parviainen

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019

Distributed Bayesian matrix factorization with limited communication.

Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, Samuel Kaski

Mach. Learn., 2019

2017

Learning structures of Bayesian networks for variable groups.

Pekka Parviainen, Samuel Kaski

Int. J. Approx. Reason., 2017

Distributed Bayesian Matrix Factorization with Minimal Communication.

Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, Samuel Kaski

CoRR, 2017

2016

Fast Zeta Transforms for Lattices with Few Irreducibles.

Andreas Björklund, Thore Husfeldt, Petteri Kaski, Mikko Koivisto, Jesper Nederlof, Pekka Parviainen

ACM Trans. Algorithms, 2016

Structure Discovery in Bayesian Networks by Sampling Partial Orders.

Teppo Niinimaki, Pekka Parviainen, Mikko Koivisto

J. Mach. Learn. Res., 2016

Bayesian Networks for Variable Groups.

Pekka Parviainen, Samuel Kaski

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

2015

Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number.

Janne H. Korhonen, Pekka Parviainen

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Accessibility by Public Transport Predicts Residential Real Estate Prices: A Case Study in Helsinki Region.

Indre Zliobaite, Michael Mathioudakis, Tuukka Lehtiniemi, Pekka Parviainen, Tomi Janhunen

Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

2014

Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming.

Pekka Parviainen, Hossein Shahrabi Farahani, Jens Lagergren

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Finding optimal Bayesian networks using precedence constraints.

Pekka Parviainen, Mikko Koivisto

J. Mach. Learn. Res., 2013

Exact Learning of Bounded Tree-width Bayesian Networks.

Janne H. Korhonen, Pekka Parviainen

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Algorithms for Exact Structure Discovery in Bayesian Networks.

Pekka Parviainen

PhD thesis, 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

Ancestor Relations in the Presence of Unobserved Variables.

Pekka Parviainen, Mikko Koivisto

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Bayesian structure discovery in Bayesian networks with less space.

Pekka Parviainen, Mikko Koivisto

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

A Space-Time Tradeoff for Permutation Problems.

Mikko Koivisto, Pekka Parviainen

Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010

2009

Exact Structure Discovery in Bayesian Networks with Less Space.

Pekka Parviainen, Mikko Koivisto

Proceedings of the UAI 2009, 2009