Papers
132 papers found
Differentiable Causal Discovery Under Latent Interventions
Gonçalo Rui Alves Faria, Andre Martins, Mario A. T. Figueiredo
Differentially Private Estimation of Heterogeneous Causal Effects
Fengshi Niu, Harsha Nori, Brian Quistorff et al.
Diffusion Causal Models for Counterfactual Estimation
Pedro Sanchez, Sotirios A. Tsaftaris
Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA
Sebastien Lachapelle, Pau Rodriguez, Yash Sharma et al.
Disentangling Controlled Effects for Hierarchical Reinforcement Learning
Oriol Corcoll, Raul Vicente
Efficient Reinforcement Learning with Prior Causal Knowledge
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
Equality Constraints in Linear Hawkes Processes
Søren Wengel Mogensen
Estimating Social Influence from Observational Data
Dhanya Sridhar, Caterina De Bacco, David Blei
Fair Classification with Instance-dependent Label Noise
Songhua Wu, Mingming Gong, Bo Han et al.
Identifying Coarse-grained Independent Causal Mechanisms with Self-supervision
Xiaoyang Wang, Klara Nahrstedt, Oluwasanmi O Koyejo
Identifying Principal Stratum Causal Effects Conditional on a Post-treatment Intermediate Response
Xiaoqing Tan, Judah Abberbock, Priya Rastogi et al.
Info Intervention and its Causal Calculus
Heyang Gong, ke zhu
Interactive rank testing by betting
Boyan Duan, Aaditya Ramdas, Larry Wasserman
Learning Causal Overhypotheses through Exploration in Children and Computational Models
Eliza Kosoy, Adrian Liu, Jasmine L Collins et al.
Learning Invariant Representations with Missing Data
Mark Goldstein, Joern-Henrik Jacobsen, Olina Chau et al.
Local Constraint-Based Causal Discovery under Selection Bias
Philip Versteeg, Joris Mooij, Cheng Zhang
Non-parametric Inference Adaptive to Intrinsic Dimension
Khashayar Khosravi, Greg Lewis, Vasilis Syrgkanis
On the Equivalence of Causal Models: A Category-Theoretic Approach
Jun Otsuka, Hayato Saigo
Optimal Training of Fair Predictive Models
Razieh Nabi, Daniel Malinsky, Ilya Shpitser
Partial Identification with Noisy Covariates: A Robust Optimization Approach
Wenshuo Guo, Mingzhang Yin, Yixin Wang et al.
Predictive State Propensity Subclassification (PSPS): A causal inference algorithm for data-driven propensity score stratification
Joseph Kelly, Jing Kong, Georg M. Goerg
Process Independence Testing in Proximal Graphical Event Models
Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao et al.
Relational Causal Models with Cycles: Representation and Reasoning
Ragib Ahsan, David Arbour, Elena Zheleva
Same Cause; Different Effects in the Brain
Mariya Toneva, Jennifer Williams, Anand Bollu et al.