Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-Based Approach von Tikka, Santtu, Hyttinen, Antti, Karvanen, Juha

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A logical approach to context-specific independence von Corander, Jukka, Hyttinen, Antti, Kontinen, Juha, Pensar, Johan, Väänänen, Jouko

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Discovering causal graphs with cycles and latent confounders: An exact branch-and-bound approach von Rantanen, Kari, Hyttinen, Antti, Järvisalo, Matti

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A constraint optimization approach to causal discovery from subsampled time series data von Hyttinen, Antti, Plis, Sergey, Järvisalo, Matti, Eberhardt, Frederick, Danks, David

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Special feature: advanced methodologies for Bayesian networks 2017 von Suzuki, Joe, Hyttinen, Antti, Malone, Brandon

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Aggregated forecasting of the load control responses using a hybrid model that combines a physically based model with machine learning von Koponen, Pekka, Salmi, Tuukka, Evens, Corentin, Takala, Suvi, Hyttinen, Antti, Brester, Christina, Kolehmainen, Mikko, Niska, Harri

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Evaluating Decision Makers over Selectively Labelled Data: A Causal Modelling Approach von Laine, Riku, Hyttinen, Antti, Mathioudakis, Michael

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Reduced Cost Fixing in MaxSAT von Bacchus, Fahiem, Hyttinen, Antti, Järvisalo, Matti, Saikko, Paul

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A Logical Approach to Context-Specific Independence von Corander, Jukka, Hyttinen, Antti, Kontinen, Juha, Pensar, Johan, Väänänen, Jouko

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Binary Independent Component Analysis: A Non-stationarity-based Approach von Hyttinen, Antti, Barin-Pacela, Vitória, Hyvärinen, Aapo

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Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach von Tikka, Santtu, Hyttinen, Antti, Karvanen, Juha

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Identifying Causal Effects via Context-specific Independence Relations von Tikka, Santtu, Hyttinen, Antti, Karvanen, Juha

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Do-search -- a tool for causal inference and study design with multiple data sources von Karvanen, Juha, Tikka, Santtu, Hyttinen, Antti

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Towards Scalable Bayesian Learning of Causal DAGs von Viinikka, Jussi, Hyttinen, Antti, Pensar, Johan, Koivisto, Mikko

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Binary Independent Component Analysis: A Non-stationarity-based Approach von Hyttinen, Antti, Barin-Pacela, Vitória, Hyvärinen, Aapo

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Identifying Causal Effects via Context-specific Independence Relations von Tikka, Santtu, Hyttinen, Antti, Karvanen, Juha

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Towards Scalable Bayesian Learning of Causal DAGs von Viinikka, Jussi, Hyttinen, Antti, Pensar, Johan, Koivisto, Mikko

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Causal Discovery from Subsampled Time Series Data by Constraint Optimization von Hyttinen, Antti, Plis, Sergey, Järvisalo, Matti, Eberhardt, Frederick, Danks, David

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Bayesian Discovery of Linear Acyclic Causal Models von Hoyer, Patrik O, Hyttinen, Antti

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Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables von Hyttinen, Antti, Eberhardt, Frederick, Hoyer, Patrik O

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