Urszula Chajewska

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 14

Top Topics

Conditional Independence

Additive Models

Statistical Relational Learning

Top Venues

J. Artif. Intell. Res.

Publications

Harsh Shrivastava, Urszula Chajewska
Methods for Recovering Conditional Independence Graphs: A Survey. J. Artif. Intell. Res. 80 (2024)
Urszula Chajewska, Harsh Shrivastava
Knowledge Propagation over Conditional Independence Graphs. CoRR (2023)
Harsh Shrivastava, Urszula Chajewska
Neural Graphical Models. ECSQARU (2023)
Harsh Shrivastava, Urszula Chajewska
Neural Graph Revealers. CoRR (2023)
Urszula Chajewska, Harsh Shrivastava
Federated Learning with Neural Graphical Models. CoRR (2023)
Zhi Chen, Sarah Tan, Urszula Chajewska, Cynthia Rudin, Rich Caruana
Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help? CHIL (2023)
Zhi Chen, Sarah Tan, Urszula Chajewska, Cynthia Rudin, Rich Caruana
Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help? CoRR (2023)
Harsh Shrivastava, Urszula Chajewska
Neural Graph Revealers. ML4MHD (2023)
Harsh Shrivastava, Urszula Chajewska
Methods for Recovering Conditional Independence Graphs: A Survey. CoRR (2022)
Harsh Shrivastava, Urszula Chajewska
Neural Graphical Models. CoRR (2022)
Harsh Shrivastava, Urszula Chajewska, Robin Abraham, Xinshi Chen
uGLAD: Sparse graph recovery by optimizing deep unrolled networks. CoRR (2022)
Leo Betthauser, Urszula Chajewska, Maurice Diesendruck, Rohith Pesala
Discovering Distribution Shifts using Latent Space Representations. CoRR (2022)
Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana
Axiomatic Interpretability for Multiclass Additive Models. KDD (2019)
Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana
Interpretability is Harder in the Multiclass Setting: Axiomatic Interpretability for Multiclass Additive Models. CoRR (2018)
Urszula Chajewska, Daphne Koller
Utilities as Random Variables: Density Estimation and Structure Discovery CoRR (2013)
Urszula Chajewska, Lise Getoor, Joseph Norman, Yuval Shahar
Utility Elicitation as a Classification Problem CoRR (2013)
Urszula Chajewska, Joseph Y. Halpern
Defining Explanation in Probabilistic Systems CoRR (2013)
Pedrito Maynard-Reid II, Urszula Chajewska
Aggregating Learned Probabilistic Beliefs CoRR (2013)
Cheryl Clark, Kathleen Good, Lesley Jezierny, Melissa Macpherson, Brian Wilson, Urszula Chajewska
Case Report: Identifying Smokers with a Medical Extraction System. J. Am. Medical Informatics Assoc. 15 (1) (2008)
Pedrito Maynard-Reid II, Urszula Chajewska
Aggregating Learned Probabilistic Beliefs. UAI (2001)
Urszula Chajewska, Daphne Koller, Dirk Ormoneit
Learning an Agent's Utility Function by Observing Behavior. ICML (2001)
Urszula Chajewska, Daphne Koller, Ronald Parr
Making Rational Decisions Using Adaptive Utility Elicitation. AAAI/IAAI (2000)
Urszula Chajewska, Daphne Koller
Utilities as Random Variables: Density Estimation and Structure Discovery. UAI (2000)
Urszula Chajewska, Lise Getoor, Joseph Norman, Yuval Shahar
Utility Elicitation as a Classification Problem. UAI (1998)
Urszula Chajewska, Joseph Y. Halpern
Defining Explanation in Probabilistic Systems. UAI (1997)