Hyttinen, Antti

23 publications

PGM 2022 A Hardware Perspective to Evaluating Probabilistic Circuits Jelin Leslin, Antti Hyttinen, Karthekeyan Periasamy, Lingyun Yao, Martin Trapp, Martin Andraud

UAI 2022 Binary Independent Component Analysis: A Non-Stationarity-Based Approach Antti Hyttinen, Vitória Barin Pacela, Aapo Hyvärinen

UAI 2021 Maximal Ancestral Graph Structure Learning via Exact Search Kari Rantanen, Antti Hyttinen, Matti Järvisalo

AAAI 2020 A Bayesian Approach for Estimating Causal Effects from Observational Data Johan Pensar, Topi Talvitie, Antti Hyttinen, Mikko Koivisto

PGM 2020 Learning Optimal Cyclic Causal Graphs from Interventional Data Kari Rantanen, Antti Hyttinen, Matti Järvisalo

NeurIPS 2020 Towards Scalable Bayesian Learning of Causal DAGs Jussi Viinikka, Antti Hyttinen, Johan Pensar, Mikko Koivisto

NeurIPS 2019 Identifying Causal Effects via Context-Specific Independence Relations Santtu Tikka, Antti Hyttinen, Juha Karvanen

PGM 2018 Learning Optimal Causal Graphs with Exact Search Kari Rantanen, Antti Hyttinen, Matti Järvisalo

IJCAI 2018 Reduced Cost Fixing for Maximum Satisfiability Fahiem Bacchus, Antti Hyttinen, Matti Järvisalo, Paul Saikko

PGM 2018 Structure Learning for Bayesian Networks over Labeled DAGs Antti Hyttinen, Johan Pensar, Juha Kontinen, Jukka Corander

IJCAI 2017 A Core-Guided Approach to Learning Optimal Causal Graphs Antti Hyttinen, Paul Saikko, Matti Järvisalo

NeurIPS 2017 Learning Chordal Markov Networks via Branch and Bound Kari Rantanen, Antti Hyttinen, Matti Järvisalo

PGM 2016 Causal Discovery from Subsampled Time Series Data by Constraint Optimization Antti Hyttinen, Sergey Plis, Matti Järvisalo, Frederick Eberhardt, David Danks

UAI 2015 Do-Calculus When the True Graph Is Unknown Antti Hyttinen, Frederick Eberhardt, Matti Järvisalo

UAI 2015 Learning Optimal Chain Graphs with Answer Set Programming Dag Sonntag, Matti Järvisalo, José M. Peña, Antti Hyttinen

UAI 2014 Constraint-Based Causal Discovery: Conflict Resolution with Answer Set Programming Antti Hyttinen, Frederick Eberhardt, Matti Järvisalo

UAI 2014 Proceedings of the UAI 2014 Workshop Causal Inference: Learning and Prediction Co-Located with 30th Conference on Uncertainty in Artificial Intelligence (UAI 2014), Quebec City, Canada, July 27, 2014 Joris M. Mooij, Dominik Janzing, Jonas Peters, Tom Claassen, Antti Hyttinen

UAI 2013 Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure Antti Hyttinen, Patrik O. Hoyer, Frederick Eberhardt, Matti Järvisalo

JMLR 2013 Experiment Selection for Causal Discovery Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer

UAI 2012 Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer

JMLR 2012 Learning Linear Cyclic Causal Models with Latent Variables Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer

UAI 2011 Noisy-or Models with Latent Confounding Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer

UAI 2009 Bayesian Discovery of Linear Acyclic Causal Models Patrik O. Hoyer, Antti Hyttinen