OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and
Evaluation Framework

OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework

7 June 2024

Yuanyuan Lin

Papers citing "OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework"

7 / 7 papers shown

Title
CausalRivers -- Scaling up benchmarking of causal discovery for real-world time-series Gideon Stein M. Shadaydeh Jan Blunk Niklas Penzel Joachim Denzler AI4TS 37 0 0 21 Mar 2025
Rethinking Interpretability in the Era of Large Language Models Chandan Singh J. Inala Michel Galley Rich Caruana Jianfeng Gao LRM AI4CE 75 59 0 30 Jan 2024
Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention Zhen Tan Tianlong Chen Zhenyu (Allen) Zhang Huan Liu 37 15 0 22 Dec 2023
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy Aditya Grover Stefano Ermon CML 32 71 0 06 Dec 2021
THP: Topological Hawkes Processes for Learning Causal Structure on Event Sequences Ruichu Cai Siyu Wu Jie Qiao Z. Hao Keli Zhang Xi Zhang 18 23 0 23 May 2021
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks Dennis L. Wei Tian Gao Yue Yu CML 48 71 0 18 Oct 2020
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 101 254 0 29 Sep 2019