Juha Harviainen

20 papers A* 5A 5Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
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 J jnl
Identifying all snarls and superbubbles in linear-time, via a unified SPQR-tree framework.
CoRR
Francisco Sena, Aleksandr Politov, Corentin Moumard, Manuel Cáceres, Sebastian Schmidt, Juha Harviainen, Alexandru I. Tomescu
2025 J jnl
Improving Decision Trees through the Lens of Parameterized Local Search.
CoRR
Juha Harviainen, Frank Sommer, Manuel Sorge
2025 A conf
On Tractability of Learning Bayesian Networks with Ancestral Constraints.
AISTATS
Juha Harviainen, Pekka Parviainen
2025 A* conf
Optimal Decision Tree Pruning Revisited: Algorithms and Complexity.
ICML
Juha Harviainen, Frank Sommer, Manuel Sorge, Stefan Szeider
2025 J jnl
Optimal Decision Tree Pruning Revisited: Algorithms and Complexity.
CoRR
Juha Harviainen, Frank Sommer, Manuel Sorge, Stefan Szeider
2025 A conf
Quantum Speedups for Bayesian Network Structure Learning.
UAI
Juha Harviainen, Kseniya Rychkova, Mikko Koivisto
2025 J jnl
Scaling Up Bayesian DAG Sampling.
CoRR
Daniele Nikzad, Alexander Zhilkin, Juha Harviainen, Jack Kuipers, Giusi Moffa, Mikko Koivisto
2024 — —
Advances in Sampling and Counting Bipartite Matchings and Directed Acyclic Graphs.
Juha Harviainen
2024 A* conf
Estimating the Permanent by Nesting Importance Sampling.
ICML
Juha Harviainen, Mikko Koivisto
2024 A conf
Faster Perfect Sampling of Bayesian Network Structures.
UAI
Juha Harviainen, Mikko Koivisto
2023 A* conf
A Faster Practical Approximation Scheme for the Permanent.
AAAI
Juha Harviainen, Mikko Koivisto
2023 A conf
On inference and learning with probabilistic generating circuits.
UAI
Juha Harviainen, Vaidyanathan Peruvemba Ramaswamy, Mikko Koivisto
2023 J jnl
Quantum Speedups for Bayesian Network Structure Learning.
CoRR
Juha Harviainen, Kseniya Rychkova, Mikko Koivisto
2023 A conf
Revisiting Bayesian network learning with small vertex cover.
UAI
Juha Harviainen, Mikko Koivisto
2022 A* conf
Trustworthy Monte Carlo.
NeurIPS
Juha Harviainen, Mikko Koivisto, Petteri Kaski
2021 A* conf
Approximating the Permanent with Deep Rejection Sampling.
NeurIPS
Juha Harviainen, Antti Röyskö, Mikko Koivisto
2021 J jnl
Approximating the Permanent with Deep Rejection Sampling.
CoRR
Juha Harviainen, Antti Röyskö, Mikko Koivisto
2019 — conf
Software Framework for Data Fault Injection to Test Machine Learning Systems.
ISSRE Workshops
Jukka K. Nurminen, Tuomas Halvari, Juha Harviainen, Juha Mylläri, Antti Röyskö, Juuso Silvennoinen, Tommi Mikkonen