Pekka Parviainen

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 23

Top Topics

Bayesian Networks

Matrix Factorization

Top Venues

Publications

Tuukka Korhonen, Fedor V. Fomin, Pekka Parviainen
Structural perspective on constraint-based learning of Markov networks. AISTATS (2024)
Tuukka Korhonen, Fedor V. Fomin, Pekka Parviainen
Structural perspective on constraint-based learning of Markov networks. CoRR (2024)
Rune D. Kjærsgaard, Pekka Parviainen, Saket Saurabh, Madhumita Kundu, Line H. Clemmensen
Fair Soft Clustering. AISTATS (2024)
Tanmay Inamdar, Madhumita Kundu, Pekka Parviainen, M. S. Ramanujan, Saket Saurabh
Exponential-Time Approximation Schemes via Compression. ITCS (2024)
Hyeongji Kim, Pekka Parviainen, Terje Berge, Ketil Malde
Inspecting class hierarchies in classification-based metric learning models. CoRR (2023)
Brigt Arve Toppe Håvardstun, Cèsar Ferri, José Hernández-Orallo, Pekka Parviainen, Jan Arne Telle
XAI with Machine Teaching When Humans Are (Not) Informed About the Irrelevant Features. ECML/PKDD (3) (2023)
Hyeongji Kim, Pekka Parviainen, Ketil Malde
Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary. NLDL (2023)
Hyeongji Kim, Pekka Parviainen, Ketil Malde
Distance-Ratio-Based Formulation for Metric Learning. CoRR (2022)
Johannes Fiedler, Adrià Salvador Palau, Eivind Kristen Osestad, Pekka Parviainen, Bodil Holst
Realistic mask generation for matter-wave lithography via machine learning. CoRR (2022)
Pierre Gillot, Pekka Parviainen
Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics. AAAI (2022)
Pierre Gillot, Pekka Parviainen
Convergence of Feedback Arc Set-Based Heuristics for Linear Structural Equation Models. PGM (2022)
Pierre Gillot, Pekka Parviainen
Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics. CoRR (2021)
Pierre Gillot, Pekka Parviainen
Scalable Bayesian Network Structure Learning via Maximum Acyclic Subgraph. PGM (2020)
Topi Talvitie, Pekka Parviainen
Learning Bayesian Networks with Cops and Robbers. PGM (2020)
Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, Samuel Kaski
Distributed Bayesian matrix factorization with limited communication. Mach. Learn. 108 (10) (2019)
Pekka Parviainen, Samuel Kaski
Learning structures of Bayesian networks for variable groups. Int. J. Approx. Reason. 88 (2017)
Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, Samuel Kaski
Distributed Bayesian Matrix Factorization with Minimal Communication. CoRR (2017)
Teppo Niinimaki, Pekka Parviainen, Mikko Koivisto
Structure Discovery in Bayesian Networks by Sampling Partial Orders. J. Mach. Learn. Res. 17 (2016)
Andreas Björklund, Thore Husfeldt, Petteri Kaski, Mikko Koivisto, Jesper Nederlof, Pekka Parviainen
Fast Zeta Transforms for Lattices with Few Irreducibles. ACM Trans. Algorithms 12 (1) (2016)
Pekka Parviainen, Samuel Kaski
Bayesian Networks for Variable Groups. Probabilistic Graphical Models (2016)
Pekka Parviainen, Samuel Kaski
Bayesian Networks for Variable Groups. CoRR (2015)
Indre Zliobaite, Michael Mathioudakis, Tuukka Lehtiniemi, Pekka Parviainen, Tomi Janhunen
Accessibility by Public Transport Predicts Residential Real Estate Prices: A Case Study in Helsinki Region. MUD@ICML (2015)
Janne H. Korhonen, Pekka Parviainen
Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number. NIPS (2015)
Pekka Parviainen, Hossein Shahrabi Farahani, Jens Lagergren
Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming. AISTATS (2014)
Pekka Parviainen, Mikko Koivisto
Finding optimal Bayesian networks using precedence constraints. J. Mach. Learn. Res. 14 (1) (2013)
Janne H. Korhonen, Pekka Parviainen
Exact Learning of Bounded Tree-width Bayesian Networks. AISTATS (2013)
Pekka Parviainen, Mikko Koivisto
Exact Structure Discovery in Bayesian Networks with Less Space CoRR (2012)
Teppo Niinimaki, Pekka Parviainen, Mikko Koivisto
Partial Order MCMC for Structure Discovery in Bayesian Networks CoRR (2012)
Teppo Niinimaki, Pekka Parviainen
Local Structure Discovery in Bayesian Networks CoRR (2012)
Teppo Niinimaki, Pekka Parviainen
Local Structure Discovery in Bayesian Networks. UAI (2012)
Andreas Björklund, Mikko Koivisto, Thore Husfeldt, Jesper Nederlof, Petteri Kaski, Pekka Parviainen
Fast zeta transforms for lattices with few irreducibles. SODA (2012)
Teppo Niinimaki, Pekka Parviainen, Mikko Koivisto
Partial Order MCMC for Structure Discovery in Bayesian Networks. UAI (2011)
Pekka Parviainen, Mikko Koivisto
Ancestor Relations in the Presence of Unobserved Variables. ECML/PKDD (2) (2011)
Pekka Parviainen, Mikko Koivisto
Bayesian structure discovery in Bayesian networks with less space. AISTATS (2010)
Mikko Koivisto, Pekka Parviainen
A Space-Time Tradeoff for Permutation Problems. SODA (2010)
Pekka Parviainen, Mikko Koivisto
Exact Structure Discovery in Bayesian Networks with Less Space. UAI (2009)