Treatment Effect Estimation Using Invariant Risk Minimization
- Abhin Shah
- Kartik Ahuja
- et al.
- 2021
- ICASSP 2021
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60 results for Karthikeyan Shanmugam
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective
- Kartik Ahuja
- Jun Wang
- et al.
- 2021
- ICLR 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
Active Structure Learning of Causal DAGs via Directed Clique Trees
- Chandler Squires
- Sara Magliacane
- et al.
- 2020
- NeurIPS 2020
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes
- Zaiwei Chen
- Siva Theja Maguluri
- et al.
- 2020
- NeurIPS 2020
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
- Amin Jaber
- Murat Kocaoglu
- et al.
- 2020
- NeurIPS 2020
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
- Matthew Faw
- Rajat Sen
- et al.
- 2020
- NeurIPS 2020
Learning Global Transparent Models consistent with Local Contrastive Explanations
- Tejaswini Pedapati
- Avinash Balakrishnan
- et al.
- 2020
- NeurIPS 2020
Structure Discovery in (Causal) Proximal Graphical Event Models
- Debarun Bhattacharjya
- Karthikeyan Shanmugam
- et al.
- 2020
- NeurIPS 2020