| 2025 | UAI | Lower Bounds on the Size of Markov Equivalence Classes. | Erik Jahn, Frederick Eberhardt, Leonard J. Schulman |
| 2019 | IJCAI | ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. | Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li |
| 2019 | UAI | Approximate Causal Abstractions. | Sander Beckers, Frederick Eberhardt, Joseph Y. Halpern |
| 2017 | UAI | SAT-Based Causal Discovery under Weaker Assumptions. | Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer |
| 2016 | AISTATS | Multi-Level Cause-Effect Systems. | Krzysztof Chalupka, Frederick Eberhardt, Pietro Perona |
| 2016 | UAI | Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data. | Krzysztof Chalupka, Tobias Bischoff, Frederick Eberhardt, Pietro Perona |
| 2015 | UAI | Visual Causal Feature Learning. | Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt |
| 2015 | UAI | Do-calculus when the True Graph Is Unknown. | Antti Hyttinen, Frederick Eberhardt, Matti Jrvisalo |
| 2014 | UAI | Constraint-based Causal Discovery: Conflict Resolution with Answer Set Programming. | Antti Hyttinen, Frederick Eberhardt, Matti Jrvisalo |
| 2013 | UAI | Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure. | Antti Hyttinen, Patrik O. Hoyer, Frederick Eberhardt, Matti Jrvisalo |
| 2012 | UAI | Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables. | Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer |
| 2011 | UAI | Noisy-OR Models with Latent Confounding. | Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer |
| 2008 | ICDE | Compact Similarity Joins. | Brent Bryan, Frederick Eberhardt, Christos Faloutsos |
| 2008 | UAI | Almost Optimal Intervention Sets for Causal Discovery. | Frederick Eberhardt |
| 2005 | UAI | 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 |