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Reasoning

2,428 papers (30 classified directly here)

Subtopics

Causal Inference (936) Automated Reasoning (843) Formal Methods (351) Automated Planning (288) Graph Embeddings (215)

Papers per year

11
11
272
299
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Papers (including subtopics)

Causal Discovery from Subsampled Time Series Data by Constraint Optimization PGM 2016
Estimating Causal Effects with Ancestral Graph Markov Models PGM 2016
A Hybrid Causal Search Algorithm for Latent Variable Models PGM 2016
Bayesian Networks for Variable Groups PGM 2016
Learning Acyclic Directed Mixed Graphs from Observations and Interventions PGM 2016
Decisions and Dependence in Influence Diagrams PGM 2016
Computing Lower and Upper Bounds on the Probability of Causal Statements PGM 2016
Learnability of Influence in Networks NIPS 2015
Bandits with Unobserved Confounders: A Causal Approach NIPS 2015
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions NIPS 2015
Learning Causal Graphs with Small Interventions NIPS 2015
Telling cause from effect in deterministic linear dynamical systems ICML 2015
Towards a Learning Theory of Cause-Effect Inference 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
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets JMLR 2015
From Dependency to Causality: A Machine Learning Approach JMLR 2015
The Randomized Causation Coefficient JMLR 2015
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data NIPS 2014
Causal Strategic Inference in Networked Microfinance Economies NIPS 2014
Transportability from Multiple Environments with Limited Experiments: Completeness Results NIPS 2014
Scaling-up Importance Sampling for Markov Logic Networks NIPS 2014
New Rules for Domain Independent Lifted MAP Inference NIPS 2014
An Integer Polynomial Programming Based Framework for Lifted MAP Inference NIPS 2014
Universal Option Models NIPS 2014