5 citations · 15 across the 8 of their papers we have counts for
10 papers
From Ehrenfest to Heisenberg scales: a hierarchy of mixing times for a phase-randomized quantum baker walk
Amir Sepehri
The quantum baker map is a standard model of quantum chaos, but rigorous analysis of how it spreads random perturbations remains difficult. Following the repeated ``baker plus refr…
Wasserstein mixing of a systematic-scan random rotation sampler
Amir Sepehri
We study the mixing time of a systematic-scan analogue of Kac's walk that was proposed as a fast surrogate for Haar-distributed orthogonal matrices in randomized high-dimensional a…
Interpretable Assessment of Fairness During Model Evaluation
Amir Sepehri, Cyrus DiCiccio
For companies developing products or algorithms, it is important to understand the potential effects not only globally, but also on sub-populations of users. In particular, it is i…
Fairness through Experimentation: Inequality in A/B testing as an approach to responsible design
Guillaume Saint-Jacques, Amir Sepehri, Nicole Li +1
As technology continues to advance, there is increasing concern about individuals being left behind. Many businesses are striving to adopt responsible design practices and avoid an…
Bouncy Hybrid Sampler as a Unifying Device
Jelena Markovic, Amir Sepehri
This work introduces a class of rejection-free Markov chain Monte Carlo (MCMC) samplers, named the Bouncy Hybrid Sampler, which unifies several existing methods from the literature…
Non-reversible, tuning- and rejection-free Markov chain Monte Carlo via iterated random functions
Amir Sepehri, Jelena Markovic
In this work we present a non-reversible, tuning- and rejection-free Markov chain Monte Carlo which naturally fits in the framework of hit-and-run. The sampler only requires access…
New Tests of Uniformity on the Compact Classical Groups as Diagnostics for Weak-star Mixing of Markov Chains
Amir Sepehri
This paper introduces two new families of non-parametric tests of goodness-of-fit on the compact classical groups. One of them is a family of tests for the eigenvalue distribution…
Cauchy Identities for the Characters of the Compact Classical Groups
Amir Sepehri
Motivated by statistical applications, this paper introduces Cauchy identities for characters of the compact classical groups. These identities generalize the well-known Cauchy ide…
The Bayesian SLOPE
Amir Sepehri
The SLOPE estimates regression coefficients by minimizing a regularized residual sum of squares using a sorted--norm penalty. The SLOPE combines testing and estimation in r…
The Accessible Lasso Models
Amir Sepehri, Naftali Harris
A new line of research on the lasso exploits the beautiful geometric fact that the lasso fit is the residual from projecting the response vector onto a certain convex polytope.…