What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. - Pasha Khosravi; Yitao Liang; YooJung Choi 001; Guy Van den Broeck (IJCAI, 2019)

On Tractable Computation of Expected Predictions. - Pasha Khosravi; YooJung Choi 001; Yitao Liang; Antonio Vergari; Guy Van den Broeck (NeurIPS, 2019)

Handling Missing Data in Decision Trees: A Probabilistic Approach. - Pasha Khosravi; Antonio Vergari; YooJung Choi 001; Yitao Liang; Guy Van den Broeck (CoRR, 2020)

Juice: A Julia Package for Logic and Probabilistic Circuits. - Meihua Dang; Pasha Khosravi; Yitao Liang; Antonio Vergari; Guy Van den Broeck (AAAI, 2021)

Probabilistic Sufficient Explanations. - Eric Wang; Pasha Khosravi; Guy Van den Broeck (IJCAI, 2021)

Sales Channel Optimization via Simulations Based on Observational Data with Delayed Rewards: A Case Study at LinkedIn. - Diana M. Negoescu; Pasha Khosravi; Shadow Zhao; Nanyu Chen; Parvez Ahammad; Humberto González (CoRR, 2022)

Multi-SANA: Comparing Measures of Topological Similarity for Multiple Network Alignment. - Shiyue Rong; Weisheng Wang; Viet Ly; Pasha Khosravi; William C. Wu; Jing Chen 053; Wayne B. Hayes (IEEE Trans. Evol. Comput., 2022)

Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization. - Omead Pooladzandi; Pasha Khosravi; Erik Nijkamp; Baharan Mirzasoleiman (CoRR, 2023)

Applications of Probabilistic Reasoning in Trustworthy AI: From Handling Missing Data to Explainability - Pasha Khosravi (2023)