Antti Hyttinen

发表

Development of a Multi-constellation Augmentation Service Based on EGNOS and Galileo Simulation

Yuwei Chen, Ruizhi Chen, Terry Moore, 2007 .

Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach pdf

Santtu Tikka, Juha Karvanen, Antti Hyttinen, 2019, J. Stat. Softw..

Do-calculus when the True Graph Is Unknown

Frederick Eberhardt, Matti Järvisalo, Antti Hyttinen, 2015, UAI.

Towards Scalable Bayesian Learning of Causal DAGs pdf

Mikko Koivisto, Jussi Viinikka, Antti Hyttinen, 2020, NeurIPS.

Causal Discovery from Subsampled Time Series Data by Constraint Optimization

Sergey M. Plis, Frederick Eberhardt, David Danks, 2016, Probabilistic Graphical Models.

Structure Learning for Bayesian Networks over Labeled DAGs

Jukka Corander, Juha Kontinen, Johan Pensar, 2018, PGM.

A Core-Guided Approach to Learning Optimal Causal Graphs

Matti Järvisalo, Antti Hyttinen, Paul Saikko, 2017, IJCAI.

Development of the EGNOS Pseudolite System

Yuwei Chen, Ruizhi Chen, Antti Hyttinen, 2007 .

Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables

Frederick Eberhardt, Patrik O. Hoyer, Antti Hyttinen, 2012, UAI.

Reduced Cost Fixing in MaxSAT

Fahiem Bacchus, Matti Järvisalo, Antti Hyttinen, 2017, CP.

Experiment selection for causal discovery

Frederick Eberhardt, Patrik O. Hoyer, Antti Hyttinen, 2013, J. Mach. Learn. Res..

A Bayesian Approach for Estimating Causal Effects from Observational Data

Mikko Koivisto, Johan Pensar, Topi Talvitie, 2020, AAAI.

A Logical Approach to Context-Specific Independence

Jukka Corander, Juha Kontinen, Johan Pensar, 2016, WoLLIC.

Special feature: advanced methodologies for Bayesian networks 2017

Joe Suzuki, Antti Hyttinen, Brandon Malone, 2018 .

Identifying Causal Effects via Context-specific Independence Relations

Santtu Tikka, Antti Hyttinen, Juha Karvanen, 2020, NeurIPS.

Applications of MaxSAT in Data Analysis

Matti Järvisalo, Jeremias Berg, Antti Hyttinen, 2019, POS@SAT.

Discovering Causal Relations in the Presence of Latent Confounders

Antti Hyttinen, Antti Hyttinen, 2013 .

Aggregated forecasting of the load control responses using a hybrid model that combines a physically based model with machine learning

Pekka Koponen, Mikko Kolehmainen, Harri Niska, 2020, CIRED - Open Access Proceedings Journal.

Learning Chordal Markov Networks via Branch and Bound

Matti Järvisalo, Antti Hyttinen, Kari Rantanen, 2017, NIPS.

Learning Chordal Markov Networks via Stochastic Local Search

Matti Järvisalo, Antti Hyttinen, Kari Rantanen, 2020, ECAI.

Reduced Cost Fixing for Maximum Satisfiability

Fahiem Bacchus, Matti Järvisalo, Antti Hyttinen, 2018, IJCAI.

Learning Optimal Cyclic Causal Graphs from Interventional Data

Matti Järvisalo, Antti Hyttinen, Kari Rantanen, 2020, PGM.

Bayesian Discovery of Linear Acyclic Causal Models pdf

Patrik O. Hoyer, Antti Hyttinen, P. Hoyer, 2009, UAI.

Learning Optimal Causal Graphs with Exact Search

Matti Järvisalo, Antti Hyttinen, Kari Rantanen, 2018, PGM.

UAI 2014 Workshop Causal Inference: Learning and Prediction

Joris M. Mooij, Tom Claassen, Dominik Janzing, 2014 .

Discovering causal graphs with cycles and latent confounders: An exact branch-and-bound approach

Matti Järvisalo, Antti Hyttinen, Kari Rantanen, 2020, Int. J. Approx. Reason..

A constraint optimization approach to causal discovery from subsampled time series data

Sergey M. Plis, Frederick Eberhardt, David Danks, 2017, Int. J. Approx. Reason..

Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure pdf

Frederick Eberhardt, Patrik O. Hoyer, Matti Järvisalo, 2013, UAI.

Learning Optimal Chain Graphs with Answer Set Programming

Matti Järvisalo, José M. Peña, Antti Hyttinen, 2015, UAI.

Evaluating Decision Makers over Selectively Labelled Data: A Causal Modelling Approach

Antti Hyttinen, Michael Mathioudakis, Riku Laine, 2020, DS.

A Logical Approach to Context-Specific Independence

Jukka Corander, Juha Kontinen, Johan Pensar, 2016, WoLLIC.

Constraint-based Causal Discovery: Conflict Resolution with Answer Set Programming

Frederick Eberhardt, Matti Järvisalo, Antti Hyttinen, 2014, UAI.

Do-search -- a tool for causal inference and study design with multiple data sources

Santtu Tikka, Juha Karvanen, Antti Hyttinen, 2020 .

Learning linear cyclic causal models with latent variables

Frederick Eberhardt, Patrik O. Hoyer, Antti Hyttinen, 2012, J. Mach. Learn. Res..

Multi-Constellation Augmentation Based on EGNOS and Galileo Simulation

Ruizhi Chen, Yuwei Chen, Pengfei Cheng, 2007 .

Causal discovery for linear cyclic models with latent variables

Frederick Eberhardt, Patrik O. Hoyer, Antti Hyttinen, 2010 .

Noisy-OR Models with Latent Confounding pdf

Frederick Eberhardt, Patrik O. Hoyer, Antti Hyttinen, 2011, UAI.

Advanced Methodologies for Bayesian Networks 2017: Preface

Brandon M. Malone, Joe Suzuki, Antti Hyttinen, 2017, AMBN.

Do-search

Santtu Tikka, Juha Karvanen, Antti Hyttinen, 2020, Epidemiology.

Binary Independent Component Analysis via Non-stationarity pdf

Antti Hyttinen, Aapo Hyvarinen, Vit'oria Barin-Pacela, 2021, ArXiv.

Maximal ancestral graph structure learning via exact search

Matti Järvisalo, Antti Hyttinen, Kari Rantanen, 2021, UAI.