2 citations · 5 across the 11 of their papers we have counts for
3 papers · 1 filter
On Computationally Efficient Learning of Exponential Family Distributions
Abhin Shah, Devavrat Shah, Gregory W. Wornell
We consider the classical problem of learning, with arbitrary accuracy, the natural parameters of a -parameter truncated \textit{minimal} exponential family from i.i.d. samples…
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu
Causal effect estimation from data typically requires assumptions about the cause-effect relations either explicitly in the form of a causal graph structure within the Pearlian fra…
Group Fairness with Uncertainty in Sensitive Attributes
Abhin Shah, Maohao Shen, Jongha Jon Ryu +4
Learning a fair predictive model is crucial to mitigate biased decisions against minority groups in high-stakes applications. A common approach to learn such a model involves solvi…