2024 "tabular data analysis" Papers
8 papers found
Amortized Variational Deep Kernel Learning
Alan Matias, César Lincoln Mattos, Joao Paulo Gomes et al.
ICML 2024poster
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles
Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer et al.
AAAI 2024paperarXiv:2401.12069
29
citations
Differentiable Weightless Neural Networks
Alan Bacellar, Zachary Susskind, Mauricio Breternitz Jr et al.
ICML 2024poster
Gaussian Process Neural Additive Models
Wei Zhang, Brian Barr, John Paisley
AAAI 2024paperarXiv:2402.12518
11
citations
Improving Neural Additive Models with Bayesian Principles
Kouroche Bouchiat, Alexander Immer, Hugo Yèche et al.
ICML 2024poster
Interpretable Deep Clustering for Tabular Data
Jonathan Svirsky, Ofir Lindenbaum
ICML 2024poster
Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
Steven Wilkins-Reeves, Xu Chen, Qi Ma et al.
ICML 2024poster
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu et al.
AAAI 2024paperarXiv:2312.13671
43
citations