Urszula Chajewska

According to our database, Urszula Chajewska authored at least 18 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Federated Learning with Neural Graphical Models.

Urszula Chajewska, Harsh Shrivastava

CoRR, 2023

Knowledge Propagation over Conditional Independence Graphs.

Urszula Chajewska, Harsh Shrivastava

CoRR, 2023

Neural Graph Revealers.

Harsh Shrivastava, Urszula Chajewska

Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023

Neural Graphical Models.

Harsh Shrivastava, Urszula Chajewska

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help?

Zhi Chen, Sarah Tan, Urszula Chajewska, Cynthia Rudin, Rich Caruana

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

Methods for Recovering Conditional Independence Graphs: A Survey.

Harsh Shrivastava, Urszula Chajewska

CoRR, 2022

uGLAD: Sparse graph recovery by optimizing deep unrolled networks.

Harsh Shrivastava, Urszula Chajewska, Robin Abraham, Xinshi Chen

CoRR, 2022

Discovering Distribution Shifts using Latent Space Representations.

Leo Betthauser, Urszula Chajewska, Maurice Diesendruck, Rohith Pesala

CoRR, 2022

2019

Axiomatic Interpretability for Multiclass Additive Models.

Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

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

2008

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

2002

Acting rationally with incomplete utility information.

Urszula Chajewska

PhD thesis, 2002

2001

Aggregating Learned Probabilistic Beliefs.

Pedrito Maynard-Reid II, Urszula Chajewska

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Learning an Agent's Utility Function by Observing Behavior.

Urszula Chajewska, Daphne Koller, Dirk Ormoneit

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

2000

Utilities as Random Variables: Density Estimation and Structure Discovery.

Urszula Chajewska, Daphne Koller

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Making Rational Decisions Using Adaptive Utility Elicitation.

Urszula Chajewska, Daphne Koller, Ronald Parr

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1998

Utility Elicitation as a Classification Problem.

Urszula Chajewska, Lise Getoor, Joseph Norman, Yuval Shahar

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

1997

Defining Explanation in Probabilistic Systems.

Urszula Chajewska, Joseph Y. Halpern

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997