34 citations · 237 across the 46 of their papers we have counts for
4 papers · 1 filter
Quantifying Inherent Randomness in Machine Learning Algorithms
Soham Raste, Rahul Singh, Joel Vaughan +1
Most machine learning (ML) algorithms have several stochastic elements, and their performances are affected by these sources of randomness. This paper uses an empirical study to sy…
Automatic Debiased Machine Learning for Dynamic Treatment Effects and General Nested Functionals
Victor Chernozhukov, Whitney Newey, Rahul Singh +1
Many canonical models in causal inference and structural econometrics have recursive identification formulas. In causal inference, recursion arises when identification requires bot…
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems
Akshay Mete, Rahul Singh, P. R. Kumar
We consider the problem of controlling an unknown stochastic linear system with quadratic costs - called the adaptive LQ control problem. We re-examine an approach called ''Reward…
Kernel methods for long term dose response curves
Rahul Singh, Hannah Zhou
A core challenge in causal inference is how to extrapolate long term effects, of possibly continuous actions, from short term experimental data. It arises in artificial intelligenc…