Defining Explanation in Probabilistic Systems. - Urszula Chajewska; Joseph Y. Halpern (UAI, 1997)

Utility Elicitation as a Classification Problem. - Urszula Chajewska; Lise Getoor; Joseph Norman; Yuval Shahar (UAI, 1998)

Making Rational Decisions Using Adaptive Utility Elicitation. - Urszula Chajewska; Daphne Koller; Ronald Parr (AAAI/IAAI, 2000)

Utilities as Random Variables: Density Estimation and Structure Discovery. - Urszula Chajewska; Daphne Koller (UAI, 2000)

Learning an Agent's Utility Function by Observing Behavior. - Urszula Chajewska; Daphne Koller; Dirk Ormoneit (ICML, 2001)

Aggregating Learned Probabilistic Beliefs. - Pedrito Maynard-Reid II; Urszula Chajewska (UAI, 2001)

Acting rationally with incomplete utility information. - Urszula Chajewska (2002)

Case Report: Identifying Smokers with a Medical Extraction System. - Cheryl Clark; Kathleen Good; Lesley Jezierny; Melissa Macpherson; Brian Wilson; Urszula Chajewska (J. Am. Medical Informatics Assoc., 2008)

Interpretability is Harder in the Multiclass Setting: Axiomatic Interpretability for Multiclass Additive Models. - Xuezhou Zhang; Sarah Tan; Paul Koch; Yin Lou; Urszula Chajewska; Rich Caruana (CoRR, 2018)

Axiomatic Interpretability for Multiclass Additive Models. - Xuezhou Zhang; Sarah Tan; Paul Koch; Yin Lou; Urszula Chajewska; Rich Caruana (KDD, 2019)

Discovering Distribution Shifts using Latent Space Representations. - Leo Betthauser; Urszula Chajewska; Maurice Diesendruck; Rohith Pesala (CoRR, 2022)

uGLAD: Sparse graph recovery by optimizing deep unrolled networks. - Harsh Shrivastava 001; Urszula Chajewska; Robin Abraham; Xinshi Chen (CoRR, 2022)

Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help? - Zhi Chen 009; Sarah Tan; Urszula Chajewska; Cynthia Rudin; Rich Caruana (CHIL, 2023)

Neural Graphical Models. - Harsh Shrivastava 001; Urszula Chajewska (ECSQARU, 2023)

Neural Graph Revealers. - Harsh Shrivastava 001; Urszula Chajewska (ML4MHD, 2023)

Federated Learning with Neural Graphical Models. - Urszula Chajewska; Harsh Shrivastava 001 (PKDD/ECML Workshops (5), 2023)

Knowledge Propagation over Conditional Independence Graphs. - Urszula Chajewska; Harsh Shrivastava 001 (CoRR, 2023)

Methods for recovering conditional independence graphs (Abstract Reprint). - Harsh Shrivastava 001; Urszula Chajewska (IJCAI, 2024)

Methods for Recovering Conditional Independence Graphs: A Survey. - Harsh Shrivastava 001; Urszula Chajewska (J. Artif. Intell. Res., 2024)