2 citations · 3 across the 2 of their papers we have counts for
3 papers
A Computationally Efficient Method for Learning Exponential Family Distributions
Abhin Shah, Devavrat Shah, Gregory W. Wornell
We consider the question of learning the natural parameters of a parameter minimal exponential family from i.i.d. samples in a computationally and statistically efficient manne…
Treatment Effect Estimation using Invariant Risk Minimization
Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam +3
Inferring causal individual treatment effect (ITE) from observational data is a challenging problem whose difficulty is exacerbated by the presence of treatment assignment bias. In…
On Learning Continuous Pairwise Markov Random Fields
Abhin Shah, Devavrat Shah, Gregory W. Wornell
We consider learning a sparse pairwise Markov Random Field (MRF) with continuous-valued variables from i.i.d samples. We adapt the algorithm of Vuffray et al. (2019) to this settin…