PAC Generalization via Invariant Representations
- Advait Parulekar
- Karthikeyan Shanmugam
- et al.
- 2023
- ICML 2023
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60 results for Karthikeyan Shanmugam
Auto-Transfer: Learning to Route Transferable Representations
- Keerthiram Murugesan
- Vijay Sadashivaiah
- et al.
- 2022
- ICLR 2022
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators
- Zaiwei Chen
- Siva Theja Maguluri
- et al.
- 2021
- NeurIPS 2021
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
- Isha Puri
- Amit Dhurandhar
- et al.
- 2021
- NeurIPS 2021
Scalable Intervention Target Estimation in Linear Models
- Burak Varici
- Karthikeyan Shanmugam
- et al.
- 2021
- NeurIPS 2021
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective
- Kartik Ahuja
- Jun Wang
- et al.
- 2021
- ICLR 2021
Active Structure Learning of Causal DAGs via Directed Clique Trees
- Chandler Squires
- Sara Magliacane
- 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
Learning Global Transparent Models consistent with Local Contrastive Explanations
- Tejaswini Pedapati
- Avinash Balakrishnan
- 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