Identifiability Guarantees for Causal Disentanglement from Soft Interventions
- Jiaqi Zhang
- Kristjan Greenewald
- et al.
- 2023
- NeurIPS 2023
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PAC Generalization via Invariant Representations
- Advait Parulekar
- Karthikeyan Shanmugam
- et al.
- 2023
- ICML 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
- Jiaqi Zhang
- Chandler Squires
- et al.
- 2023
- ICML 2023
Fault Injection Based Interventional Causal Learning for Distributed Applications
- Qing Wang
- Jesus Rios
- et al.
- 2023
- IAAI 2023
Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations
- Amit Dhurandhar
- Karthikeyan Natesan Ramamurthy
- et al.
- 2022
- NeurIPS 2022
Intervention Target Estimation in the Presence of Latent Variables
- Burak Varıcı
- Karthikeyan Shanmugam
- et al.
- 2022
- UAI 2022
AI Explainability 360: Impact and Design
- 2022
- IAAI 2022
Fourier Representations for Black-Box Optimization over Categorical Variables
- Hamid Dadkhahi
- Jesus Rios
- et al.
- 2022
- AAAI 2022
Causal Feature Selection for Algorithmic Fairness
- Sainyam Galhotra
- Karthikeyan Shanmugam
- et al.
- 2022
- SIGMOD/PODS 2022
Auto-Transfer: Learning to Route Transferable Representations
- Keerthiram Murugesan
- Vijay Sadashivaiah
- et al.
- 2022
- ICLR 2022