Scholar
Juha Harviainen
Google Scholar ID: ftsJV7kAAAAJ
Postdoctoral Researcher, University of Helsinki
Citations & Impact
Citations
45
H-index
4
i10-index
2
Publications
14
Co-authors
0
Publications
Resume
Academic Achievements
- Scaling Up Bayesian DAG Sampling, 2025, arXiv preprint
- Improving Decision Trees through the Lens of Parameterized Local Search, NeurIPS 2025 (to appear)
- Graph Reconstruction with the Connected Components Oracle, 2025, arXiv preprint
- Quantum Speedups for Bayesian Network Structure Learning, UAI 2025
- Optimal Decision Tree Pruning Revisited: Algorithms and Complexity, ICML 2025
- On Tractability of Learning Bayesian Networks with Ancestral Constraints, AISTATS 2025
- Estimating the Permanent by Nesting Importance Sampling, ICML 2024
- Faster Perfect Sampling of Bayesian Network Structures, UAI 2024
- Revisiting Bayesian Network Learning with Small Vertex Cover, UAI 2023
- On Inference and Learning With Probabilistic Generating Circuits, UAI 2023
- A Faster Practical Approximation Scheme for the Permanent, AAAI 2023
- Trustworthy Monte Carlo, NeurIPS 2022
- Approximating the Permanent with Deep Rejection Sampling, NeurIPS 2021
- Software Framework for Data Fault Injection to Test Machine Learning Systems, ISSRE Workshops 2019
Research Experience
- Works as a postdoctoral researcher in the Sums of Products research group.
Education
- Completed his doctoral degree in 2024 under the supervision of Professor Mikko Koivisto at the University of Helsinki.
Background
- Currently a postdoctoral researcher at the University of Helsinki, focusing on parameterized complexity, perfect sampling, and having a broader interest in randomized algorithms, complexity theory, and information theory.
Miscellany
- Created a website called Tie koodariksi for teaching programming in Finnish schools.