Co-occurring keywords · papers mentioning both
Papers
StrWAEs to Invariant Representations
ICML 2024
Testing Semantic Importance via Betting
NeurIPS 2024
Transfer learning for tensor Gaussian graphical models
JMLR 2024
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data
AAAI 2023
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
NeurIPS 2023
Causal Discovery in Semi-Stationary Time Series
NeurIPS 2023
Characterization and Learning of Causal Graphs with Small Conditioning Sets
NeurIPS 2023
Detecting hidden confounding in observational data using multiple environments
NeurIPS 2023
DIET: Conditional independence testing with marginal dependence measures of residual information
AISTATS 2023
Efficient Conditionally Invariant Representation Learning
ICLR 2023
Efficient SAGE Estimation via Causal Structure Learning
AISTATS 2023
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
NeurIPS 2023
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks
ICLR 2023
Improving the imputation of missing data with Markov Blanket discovery
ICLR 2023
Increasing effect sizes of pairwise conditional independence tests between random vectors
UAI 2023
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing
NeurIPS 2023
Local Dependence Graphs for Discrete Time Processes
CLeaR 2023
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data
JMLR 2023
Nearest-Neighbor Sampling Based Conditional Independence Testing
AAAI 2023
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition
CLeaR 2023
The d-Separation Criterion in Categorical Probability
JMLR 2023
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
Conditional Independence for Iterated Belief Revision
IJCAI 2022
Deep Unlearning via Randomized Conditionally Independent Hessians
CVPR 2022