Harviainen, Juha

11 publications

NeurIPS 2025 Improving Decision Trees Through the Lens of Parameterized Local Search Juha Harviainen, Frank Sommer, Manuel Sorge

AISTATS 2025 On Tractability of Learning Bayesian Networks with Ancestral Constraints Juha Harviainen, Pekka Parviainen

ICML 2025 Optimal Decision Tree Pruning Revisited: Algorithms and Complexity Juha Harviainen, Frank Sommer, Manuel Sorge, Stefan Szeider

UAI 2025 Quantum Speedups for Bayesian Network Structure Learning Juha Harviainen, Kseniya Rychkova, Mikko Koivisto

ICML 2024 Estimating the Permanent by Nesting Importance Sampling Juha Harviainen, Mikko Koivisto

UAI 2024 Faster Perfect Sampling of Bayesian Network Structures Juha Harviainen, Mikko Koivisto

AAAI 2023 A Faster Practical Approximation Scheme for the Permanent Juha Harviainen, Mikko Koivisto

UAI 2023 On Inference and Learning with Probabilistic Generating Circuits Juha Harviainen, Vaidyanathan Peruvemba Ramaswamy, Mikko Koivisto

UAI 2023 Revisiting Bayesian Network Learning with Small Vertex Cover Juha Harviainen, Mikko Koivisto

NeurIPS 2022 Trustworthy Monte Carlo Juha Harviainen, Mikko Koivisto, Petteri Kaski

NeurIPS 2021 Approximating the Permanent with Deep Rejection Sampling Juha Harviainen, Antti Röyskö, Mikko Koivisto