Ordinal Historical Dependence in Graphical Event Models with Tree Representations
- Debarun Bhattacharjya
- Tian Gao
- et al.
- 2021
- AAAI 2021
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80 results for Causality
Event-driven continuous time bayesian networks
- Debarun Bhattacharjya
- Karthikeyan Shanmugam
- et al.
- 2020
- AAAI 2020
Cost-Sensitive Bayesian Active Molecular Design with Auxiliary Properties
- Elliot Nelson
- Dmitry Zubarev
- 2023
- MRS Spring Meeting 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
- Jiaqi Zhang
- Kristjan Greenewald
- et al.
- 2023
- NeurIPS 2023
Unsupervised Causal Knowledge Extraction from Text using Natural Language Inference
- Manik Bhandari
- Mark Feblowitz
- et al.
- 2021
- AAAI 2021
On the Equivalence of Bi-Level Optimization and Game-Theoretic Formulations of Invariant Risk Minimization
- Kartik Ahuja
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
Causal Markov Blanket Representation Learning for Out-of-distribution Generalization
- Naiyu Yin
- Hanjing Wang
- et al.
- 2023
- NeurIPS 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
- Jiaqi Zhang
- Chandler Squires
- et al.
- 2023
- ICML 2023
Causal Inference Q-Network: Toward Resilient Reinforcement Learning
- Huck Yang
- I-Te Hung
- et al.
- 2021
- ICLR 2021
Structure Discovery in (Causal) Proximal Graphical Event Models
- Debarun Bhattacharjya
- Karthikeyan Shanmugam
- et al.
- 2020
- NeurIPS 2020