37 citations · 49 across the 3 of their papers we have counts for
3 papers
Learning Optimal Conformal Classifiers
David Stutz, Krishnamurthy, Dvijotham +2
Modern deep learning based classifiers show very high accuracy on test data but this does not provide sufficient guarantees for safe deployment, especially in high-stake AI applica…
Hamiltonian Descent Methods
Chris J. Maddison, Daniel Paulin, Yee Whye Teh +2
We propose a family of optimization methods that achieve linear convergence using first-order gradient information and constant step sizes on a class of convex functions much large…
Bayesian Sparsity-Path-Analysis of Genetic Association Signal using Generalized t Priors
Anthony Lee, Francois Caron, Arnaud Doucet +1
We explore the use of generalized t priors on regression coefficients to help understand the nature of association signal within "hit regions" of genome-wide association studies. T…