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Causal Inference
3310 directly classified papers
Papers per year
2002: 1
2003: 2
2004: 1
2005: 2
2006: 7
2007: 6
2008: 9
2009: 9
2010: 15
2011: 8
2012: 15
2013: 32
2014: 16
2015: 28
2016: 39
2017: 62
2018: 98
2019: 201
2020: 277
2021: 372
2022: 426
2023: 511
2024: 601
2025: 389
2026: 183
Papers
Ultra-Scalable and Efficient Methods for Hybrid Observational and Experimental Local Causal Pathway Discovery
JMLR 2015
Inference of Cause and Effect with Unsupervised Inverse Regression
AISTATS 2015
Semi-Supervised Interpolation in an Anticausal Learning Scenario
JMLR 2015
Removing systematic errors for exoplanet search via latent causes
ICML 2015
Counting and Exploring Sizes of Markov Equivalence Classes of Directed Acyclic Graphs
JMLR 2015
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components
ICML 2015
Discovering Temporal Causal Relations from Subsampled Data
ICML 2015
Mining Semantic Affordances of Visual Object Categories
CVPR 2015
Telling cause from effect in deterministic linear dynamical systems
ICML 2015
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets
JMLR 2015
Towards a Learning Theory of Cause-Effect Inference
ICML 2015
Exploring Causal Relationships in Visual Object Tracking
ICCV 2015
Randomized Experimental Design for Causal Graph Discovery
NIPS 2014
Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations
ICML 2014
Feedback Detection for Live Predictors
NIPS 2014
Causal Inference through a Witness Protection Program
NIPS 2014
On Estimating Causal Effects based on Supplemental Variables
AISTATS 2014
Transportability from Multiple Environments with Limited Experiments: Completeness Results
NIPS 2014
Causal Strategic Inference in Networked Microfinance Economies
NIPS 2014
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data
NIPS 2014
An Integer Polynomial Programming Based Framework for Lifted MAP Inference
NIPS 2014
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation
NIPS 2014
Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models
ICML 2014
Causal Discovery with Continuous Additive Noise Models
JMLR 2014
Order-Independent Constraint-Based Causal Structure Learning
JMLR 2014
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