2 citations · 2 across the 5 of their papers we have counts for
5 papers
Hide&Seek: Learning to Explain in an End-to-End Differentiable Network
Tal Ellinson, Hadi Mohasel Afshar, Sally Cripps
Instance-wise feature selection is a valuable tool for interpreting labeled data and the predictions of black-box models. In contrast to global feature selection techniques, instan…
A Beta Cauchy-Cauchy (BECCA) shrinkage prior for Bayesian variable selection
Linduni M. Rodrigo, Robert Kohn, Hadi M. Afshar +1
This paper introduces a novel Bayesian approach for variable selection in high-dimensional and potentially sparse regression settings. Our method replaces the indicator variables i…
Optimal Particle-based Approximation of Discrete Distributions (OPAD)
Hadi Mohasel Afshar, Gilad Francis, Sally Cripps
Particle-based methods include a variety of techniques, such as Markov Chain Monte Carlo (MCMC) and Sequential Monte Carlo (SMC), for approximating a probabilistic target distribut…
Bayesian Adaptive Trials for Social Policy
Sally Cripps, Anna Lopatnikova, Hadi Mohasel Afshar +5
This paper proposes Bayesian Adaptive Trials (BAT) as both an efficient method to conduct trials and a unifying framework for evaluation social policy interventions, addressing lim…
On Nicod's Condition, Rules of Induction and the Raven Paradox
Hadi Mohasel Afshar, Peter Sunehag
Philosophers writing about the ravens paradox often note that Nicod's Condition (NC) holds given some set of background information, and fails to hold against others, but rarely go…