Combining Data and Theory for Derivable Scientific Discovery with AI-Descartes
- Cristina Cornelio
- Sanjeeb Dash
- et al.
- 2023
- Nature Communications
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80 results for Causality
A causal inference approach for estimating effects of non-pharmaceutical interventions
- Vesna Resende Barros
- Itay Manes
- et al.
- 2022
- PLoS ONE
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
- Tsuyoshi Idé
- Naoki Abe
- 2023
- KDD 2023
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier
- Spencer Compton
- Dmitriy Katz
- et al.
- 2023
- AISTATS 2023
Treatment Learning Causal Transformer for Noisy Image Classification
- Chao-Han Huck Yang
- Danny I-Te Hung
- et al.
- 2023
- WACV 2023
Environment Agnostic Invariant Risk Minimization for Classification of Sequential Datasets
- Praveen Venkateswaran
- Vinod Muthusamy
- et al.
- 2021
- KDD 2021
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
- Kristjan Greenewald
- Karthikeyan Shanmugam
- et al.
- 2021
- AISTATS 2021
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions
- Kartik Ahuja
- Karthikeyan Shanmugam
- et al.
- 2021
- AISTATS 2021
Characterization of Overlap in Observational Studies
- Michael Oberst
- Fredrik D. Johansson
- et al.
- 2020
- AISTATS 2020
Size of interventional Markov equivalence classes in random DAG models
- Dmitriy Katz-Rogozhnikov
- Karthikeyan Shanmugam
- et al.
- 2019
- AISTATS 2019