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Causal Inference

3310 directly classified papers

Papers per year

Papers

Learning Causal Overhypotheses through Exploration in Children and Computational Models CLEAR 2022
Efficient Reinforcement Learning with Prior Causal Knowledge CLEAR 2022
Reframed GES with a neural conditional dependence measure UAI 2022
Greedy equivalence search in the presence of latent confounders UAI 2022
Revisiting the general identifiability problem UAI 2022
Greedy relaxations of the sparsest permutation algorithm UAI 2022
Ordinal causal discovery UAI 2022
Identifiability of sparse causal effects using instrumental variables UAI 2022
Test for non-negligible adverse shifts UAI 2022
Learning Optimal Summaries of Clinical Time-series with Concept Bottleneck Models MLHC 2022
SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Venous Thromboembolism (VTE) prediction MLHC 2022
KCRL: A Prior Knowledge Based Causal Discovery Framework with Reinforcement Learning MLHC 2022
Relational Causal Models with Cycles: Representation and Reasoning CLEAR 2022
Info Intervention and its Causal Calculus CLEAR 2022
Partial Identification with Noisy Covariates: A Robust Optimization Approach CLEAR 2022
Data-driven exclusion criteria for instrumental variable studies CLEAR 2022
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data CLEAR 2022
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning CLEAR 2022
Estimating Social Influence from Observational Data CLEAR 2022
Causal Discovery in Linear Structural Causal Models with Deterministic Relations CLEAR 2022
Causal Discovery for Linear Mixed Data CLEAR 2022
Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts CLEAR 2022
Markovian Interference in Experiments NIPS 2022
Online Reinforcement Learning for Mixed Policy Scopes NIPS 2022
Empirical Gateaux Derivatives for Causal Inference NIPS 2022