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← Reasoning
Knowledge & Reasoning
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Reasoning
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Causal Inference
934 directly classified papers
Papers per year
2006: 3
2007: 2
2008: 9
2009: 5
2010: 8
2011: 5
2012: 4
2013: 11
2014: 7
2015: 11
2016: 18
2017: 14
2018: 32
2019: 69
2020: 91
2021: 82
2022: 129
2023: 158
2024: 160
2025: 107
2026: 9
Papers
Bandits with Unobserved Confounders: A Causal Approach
NIPS 2015
Learnability of Influence in Networks
NIPS 2015
Telling cause from effect in deterministic linear dynamical systems
ICML 2015
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components
ICML 2015
Removing systematic errors for exoplanet search via latent causes
ICML 2015
Causal Strategic Inference in Networked Microfinance Economies
NIPS 2014
Consistency of Causal Inference under the Additive Noise Model
ICML 2014
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data
NIPS 2014
Transportability from Multiple Environments with Limited Experiments: Completeness Results
NIPS 2014
Order-Independent Constraint-Based Causal Structure Learning
JMLR 2014
Causal Discovery with Continuous Additive Noise Models
JMLR 2014
Randomized Experimental Design for Causal Graph Discovery
NIPS 2014
Meta-Transportability of Causal Effects: A Formal Approach
AISTATS 2013
Graphical Models for Inference with Missing Data
NIPS 2013
A simple criterion for controlling selection bias
AISTATS 2013
Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising
JMLR 2013
SADA: A General Framework to Support Robust Causation Discovery
ICML 2013
Learning Linear Bayesian Networks with Latent Variables
ICML 2013
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables
NIPS 2013
Event Detection in Complex Scenes Using Interval Temporal Constraints
ICCV 2013
Estimation of Causal Peer Influence Effects
ICML 2013
Causal Inference on Time Series using Restricted Structural Equation Models
NIPS 2013
Experiment Selection for Causal Discovery
JMLR 2013
Learning Networks of Heterogeneous Influence
NIPS 2012
Learning Linear Cyclic Causal Models with Latent Variables
JMLR 2012
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