conftrace_

conditional independence

113 papers

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Also known as

CI

Co-occurring keywords

graphical model (864) causal discovery (460) causal inference (1630) bayesian network (378) conditional independence test (37) structure learning (341) probabilistic graphical model (226) directed acyclic graph (245) causal graph (140) gaussian graphical model (106)

Papers

The d-Separation Criterion in Categorical Probability JMLR 2023
Nearest-Neighbor Sampling Based Conditional Independence Testing AAAI 2023
Efficient SAGE Estimation via Causal Structure Learning AISTATS 2023
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023
Detecting hidden confounding in observational data using multiple environments NIPS 2023
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing NIPS 2023
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data NIPS 2023
Characterization and Learning of Causal Graphs with Small Conditioning Sets NIPS 2023
Local Dependence Graphs for Discrete Time Processes CLEAR 2023
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data AAAI 2023
DIET: Conditional independence testing with marginal dependence measures of residual information AISTATS 2023
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge NIPS 2023
Increasing effect sizes of pairwise conditional independence tests between random vectors UAI 2023
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition CLEAR 2023
Using Conditional Independence for Belief Revision AAAI 2022
Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators EMNLP 2022
Deep Unlearning via Randomized Conditionally Independent Hessians CVPR 2022
On perfectness in Gaussian graphical models AISTATS 2022
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings ICML 2022
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis AISTATS 2022
The Weighted Generalised Covariance Measure JMLR 2022
Conditional Independence for Iterated Belief Revision IJCAI 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings NIPS 2022
Conditional Independence for Pretext Task Selection in Self-Supervised Speech Representation Learning INTERSPEECH 2021
Testing Independence Between Linear Combinations for Causal Discovery AAAI 2021