What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features

5 March 2019

Papers citing "What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features"

9 / 9 papers shown

Title
Semantic Probabilistic Control of Language Models Kareem Ahmed Catarina G Belém Padhraic Smyth Sameer Singh 49 0 0 04 May 2025
Learning High-dimensional Gaussians from Censored Data Arnab Bhattacharyya C. Daskalakis Themis Gouleakis Yuhao Wang 31 0 0 28 Apr 2025
Learning from Uncertain Data: From Possible Worlds to Possible Models Jiongli Zhu Su Feng Boris Glavic Babak Salimi 42 0 0 28 May 2024
Bayesian Structure Scores for Probabilistic Circuits Yang Yang G. Gala Robert Peharz TPM 27 7 0 23 Feb 2023
Probabilistic Sufficient Explanations Eric Wang Pasha Khosravi Mathias Niepert XAI FAtt TPM 30 23 0 21 May 2021
Probabilistic Circuits for Variational Inference in Discrete Graphical Models Andy Shih Stefano Ermon TPM 18 20 0 22 Oct 2020
On the Tractability of SHAP Explanations Mathias Niepert A. Lykov Maximilian Schleich Dan Suciu FAtt TDI 11 260 0 18 Sep 2020
On Robust Mean Estimation under Coordinate-level Corruption Zifan Liu Jongho Park Theodoros Rekatsinas Christos Tzamos 33 8 0 10 Feb 2020
CXPlain: Causal Explanations for Model Interpretation under Uncertainty Patrick Schwab W. Karlen FAtt CML 40 206 0 27 Oct 2019