Pekka Parviainen

45 papers A* 3A 11Journal 19Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating Prediction Uncertainty Estimates from BatchEnsemble. CoRR Morten Blørstad, Herman Jangsett Mostein, Nello Blaser, Pekka Parviainen
2026	J	`jnl`	Learning Bayesian and Markov Networks with an Unreliable Oracle. CoRR Juha Harviainen, Pekka Parviainen, Vidya Sagar Sharma
2025	J	`jnl`	Graph Reconstruction with a Connected Components Oracle. CoRR Juha Harviainen, Pekka Parviainen
2025	A	`conf`	On Tractability of Learning Bayesian Networks with Ancestral Constraints. AISTATS Juha Harviainen, Pekka Parviainen
2024	A	`conf`	Discovering Bayesian Networks when Few Variables Matter. ECAI Madhumita Kundu, Pekka Parviainen, Saket Saurabh
2024	A	`conf`	Exponential-Time Approximation Schemes via Compression. ITCS Tanmay Inamdar, Madhumita Kundu, Pekka Parviainen, M. S. Ramanujan, Saket Saurabh
2024	A	`conf`	Fair Soft Clustering. AISTATS Rune D. Kjærsgaard, Pekka Parviainen, Saket Saurabh, Madhumita Kundu, Line H. Clemmensen
2024	—	`conf`	ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation. ECCV Workshops (17) Hyeongji Kim, Changkyu Choi, Michael Kampffmeyer, Terje Berge, Pekka Parviainen, Ketil Malde
2024	A	`conf`	Structural perspective on constraint-based learning of Markov networks. AISTATS Tuukka Korhonen, Fedor V. Fomin, Pekka Parviainen
2024	J	`jnl`	Structural perspective on constraint-based learning of Markov networks. CoRR Tuukka Korhonen, Fedor V. Fomin, Pekka Parviainen
2024	—	`conf`	Time-Approximation Trade-Offs for Learning Bayesian Networks. PGM Madhumita Kundu, Pekka Parviainen, Saket Saurabh
2023	J	`jnl`	Inspecting class hierarchies in classification-based metric learning models. CoRR Hyeongji Kim, Pekka Parviainen, Terje Berge, Ketil Malde
2023	—	`conf`	Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary. NLDL Hyeongji Kim, Pekka Parviainen, Ketil Malde
2023	J	`jnl`	Realistic mask generation for matter-wave lithography via machine learning. Mach. Learn. Sci. Technol. Johannes Fiedler, Adrià Salvador Palau, Eivind Kristen Osestad, Pekka Parviainen, Bodil Holst
2023	—	`conf`	XAI with Machine Teaching When Humans Are (Not) Informed About the Irrelevant Features. ECML/PKDD (3) Brigt Arve Toppe Håvardstun, Cèsar Ferri, José Hernández-Orallo, Pekka Parviainen, Jan Arne Telle
2022	—	`conf`	Convergence of Feedback Arc Set-Based Heuristics for Linear Structural Equation Models. PGM Pierre Gillot, Pekka Parviainen
2022	J	`jnl`	Distance-Ratio-Based Formulation for Metric Learning. CoRR Hyeongji Kim, Pekka Parviainen, Ketil Malde
2022	A*	`conf`	Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics. AAAI Pierre Gillot, Pekka Parviainen
2022	J	`jnl`	Realistic mask generation for matter-wave lithography via machine learning. CoRR Johannes Fiedler, Adrià Salvador Palau, Eivind Kristen Osestad, Pekka Parviainen, Bodil Holst
2021	J	`jnl`	Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics. CoRR Pierre Gillot, Pekka Parviainen
2020	—	`conf`	Learning Bayesian Networks with Cops and Robbers. PGM Topi Talvitie, Pekka Parviainen
2020	—	`conf`	Scalable Bayesian Network Structure Learning via Maximum Acyclic Subgraph. PGM Pierre Gillot, Pekka Parviainen
2019	J	`jnl`	Distributed Bayesian matrix factorization with limited communication. Mach. Learn. Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, Samuel Kaski
2017	J	`jnl`	Distributed Bayesian Matrix Factorization with Minimal Communication. CoRR Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, Samuel Kaski
2017	J	`jnl`	Learning structures of Bayesian networks for variable groups. Int. J. Approx. Reason. Pekka Parviainen, Samuel Kaski
2016	—	`conf`	Bayesian Networks for Variable Groups. Probabilistic Graphical Models Pekka Parviainen, Samuel Kaski
2016	J	`jnl`	Fast Zeta Transforms for Lattices with Few Irreducibles. ACM Trans. Algorithms Andreas Björklund, Thore Husfeldt, Petteri Kaski, Mikko Koivisto, Jesper Nederlof, Pekka Parviainen
2016	J	`jnl`	Structure Discovery in Bayesian Networks by Sampling Partial Orders. J. Mach. Learn. Res. Teppo Niinimaki, Pekka Parviainen, Mikko Koivisto
2015	—	`conf`	Accessibility by Public Transport Predicts Residential Real Estate Prices: A Case Study in Helsinki Region. MUD@ICML Indre Zliobaite, Michael Mathioudakis, Tuukka Lehtiniemi, Pekka Parviainen, Tomi Janhunen
2015	J	`jnl`	Bayesian Networks for Variable Groups. CoRR Pekka Parviainen, Samuel Kaski
2015	—	`conf`	Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number. NIPS Janne H. Korhonen, Pekka Parviainen
2014	A	`conf`	Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming. AISTATS Pekka Parviainen, Hossein Shahrabi Farahani, Jens Lagergren
2013	A	`conf`	Exact Learning of Bounded Tree-width Bayesian Networks. AISTATS Janne H. Korhonen, Pekka Parviainen
2013	J	`jnl`	Finding optimal Bayesian networks using precedence constraints. J. Mach. Learn. Res. Pekka Parviainen, Mikko Koivisto
2012	—	`—`	Algorithms for Exact Structure Discovery in Bayesian Networks. Pekka Parviainen
2012	J	`jnl`	Exact Structure Discovery in Bayesian Networks with Less Space CoRR Pekka Parviainen, Mikko Koivisto
2012	A*	`conf`	Fast zeta transforms for lattices with few irreducibles. SODA Andreas Björklund, Mikko Koivisto, Thore Husfeldt, Jesper Nederlof, Petteri Kaski, Pekka Parviainen
2012	J	`jnl`	Local Structure Discovery in Bayesian Networks CoRR Teppo Niinimaki, Pekka Parviainen
2012	A	`conf`	Local Structure Discovery in Bayesian Networks. UAI Teppo Niinimaki, Pekka Parviainen
2012	J	`jnl`	Partial Order MCMC for Structure Discovery in Bayesian Networks CoRR Teppo Niinimaki, Pekka Parviainen, Mikko Koivisto
2011	—	`conf`	Ancestor Relations in the Presence of Unobserved Variables. ECML/PKDD (2) Pekka Parviainen, Mikko Koivisto
2011	A	`conf`	Partial Order MCMC for Structure Discovery in Bayesian Networks. UAI Teppo Niinimaki, Pekka Parviainen, Mikko Koivisto
2010	A*	`conf`	A Space-Time Tradeoff for Permutation Problems. SODA Mikko Koivisto, Pekka Parviainen
2010	A	`conf`	Bayesian structure discovery in Bayesian networks with less space. AISTATS Pekka Parviainen, Mikko Koivisto
2009	A	`conf`	Exact Structure Discovery in Bayesian Networks with Less Space. UAI Pekka Parviainen, Mikko Koivisto