Items where Division is "Jilles Vreeken (Exploratory Data Analysis)" and Year is 2019

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Number of items: 13.

Conference or Workshop Item (A Paper)

Fischer, Jonas and Vreeken, Jilles
(2019) Sets of Robust Rules, and How to Find Them.
In: ECMLPKDD.
Conference: ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)

Kalofolias, Janis and Boley, Mario and Vreeken, Jilles
(2019) Discovering Robustly Connected Subgraphs with Simple Descriptions.
In: IEEE International Conference on Data Mining (ICDM).
Conference: ICDM IEEE International Conference on Data Mining

Kalofolias, Janis and Boley, Mario and Vreeken, Jilles
(2019) Discovering Robustly Connected Subgraphs with Simple Descriptions.
In: ACM SIGKDD Workshop on Mining and Learning from Graphs (MLG).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Kalofolias, Janis and Boley, Mario and Vreeken, Jilles
(2019) Discovering Robustly Connected Subgraphs with Simple Descriptions.
In: ECMLPKDD Workshop on Graph Embedding and Mining (GEM).
Conference: ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)

Kaltenpoth, David and Vreeken, Jilles
(2019) We Are Not Your Real Parents: Telling Causal from Confounded using MDL.
In: SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Mandros, Panagiotis and Boley, Mario and Vreeken, Jilles
(2019) Discovering Reliable Correlations in Categorical Data.
In: IEEE International Conference on Data Mining (ICDM).
Conference: ICDM IEEE International Conference on Data Mining

Mandros, Panagiotis and Boley, Mario and Vreeken, Jilles
(2019) Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms (Extended Abstract).
In: International Joint Conference on Artificial Intelligence (IJCAI).
Conference: IJCAI International Joint Conference on Artificial Intelligence

Marx, Alexander and Vreeken, Jilles
(2019) Approximating Algorithmic Conditional Independence for Discrete Data.
In: First AAAI Spring Symposium Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AI.
Conference: AAAI National Conference of the American Association for Artificial Intelligence

Marx, Alexander and Vreeken, Jilles
(2019) Identifiability of Cause and Effect using Regularized Regression.
In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Marx, Alexander and Vreeken, Jilles
(2019) Testing Conditional Independence on Discrete Data using Stochastic Complexity.
In: International Conference on Artificial Intelligence and Statistics (AISTATS).
Conference: AISTATS International Conference on Artificial Intelligence and Statistics

Saran, Divyam and Vreeken, Jilles
(2019) Summarizing Dynamic Graphs using MDL.
In: ECMLPKDD Workshop on Graph Embedding and Mining (GEM).
Conference: ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)

Vreeken, Jilles and Yamanishi, Kenji
(2019) Modern MDL meets Data Mining Insights, Theory, and Practice.
In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Article

Marx, Alexander and Vreeken, Jilles
(2019) Telling Cause from Effect by Local and Global Regression.
Knowledge and Information Systems.
(In Press)

This list was generated on Sat Nov 23 10:32:21 2024 CET.
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