Eberhardt, Frederick

20 publications

CLeaR 2025 Controlling for Discrete Unmeasured Confounding in Nonlinear Causal Models Patrick Burauel, Frederick Eberhardt, Michel Besserve

UAI 2025 Lower Bounds on the Size of Markov Equivalence Classes Erik L Jahn, Frederick Eberhardt, Leonard Schulman

IJCAI 2019 ASP-Based Discovery of Semi-Markovian Causal Models Under Weaker Assumptions Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li

UAI 2019 Approximate Causal Abstractions Sander Beckers, Frederick Eberhardt, Joseph Y. Halpern

UAI 2017 SAT-Based Causal Discovery Under Weaker Assumptions Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer

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

AISTATS 2016 Multi-Level Cause-Effect Systems Krzysztof Chalupka, Frederick Eberhardt, Pietro Perona

UAI 2016 Proceedings of the UAI 2016 Workshop on Causation: Foundation to Application Co-Located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), Jersey City, USA, June 29, 2016 Frederick Eberhardt, Elias Bareinboim, Marloes H. Maathuis, Joris M. Mooij, Ricardo Silva

UAI 2016 Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data Krzysztof Chalupka, Tobias Bischoff, Frederick Eberhardt, Pietro Perona

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

UAI 2015 Visual Causal Feature Learning Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt

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

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

AISTATS 2010 Combining Experiments to Discover Linear Cyclic Models with Latent Variables Frederick Eberhardt, Patrik Hoyer, Richard Scheines

UAI 2008 Almost Optimal Intervention Sets for Causal Discovery Frederick Eberhardt

UAI 2005 On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables Frederick Eberhardt, Clark Glymour, Richard Scheines