activity
20182021
most citedMinimal Effective Gibbs Ansatz (MEGA): A simple protocol for extracting an accurate thermal representation for quantum simulation

20 citations · 39 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2021★ 1 cited

Data-Driven Reachability analysis and Support set Estimation with Christoffel Functions

Alex Devonport, Forest Yang, Laurent El Ghaoui +1

We present algorithms for estimating the forward reachable set of a dynamical system using only a finite collection of independent and identically distributed samples. The produced…

eess.SY2021

Data-Driven Reachability Analysis with Christoffel Functions

Alex Devonport, Forest Yang, Laurent El Ghaoui +1

We present an algorithm for data-driven reachability analysis that estimates finite-horizon forward reachable sets for general nonlinear systems using level sets of a certain class…

cs.LG2020★ 12 cited

Fairness with Overlapping Groups

Forest Yang, Moustapha Cisse, Sanmi Koyejo

In algorithmically fair prediction problems, a standard goal is to ensure the equality of fairness metrics across multiple overlapping groups simultaneously. We reconsider this sta…

cs.LG2019★ 3 cited

On the Consistency of Top-k Surrogate Losses

Forest Yang, Sanmi Koyejo

The top- error is often employed to evaluate performance for challenging classification tasks in computer vision as it is designed to compensate for ambiguity in ground truth la…

quant-ph2018★ 20 cited

Minimal Effective Gibbs Ansatz (MEGA): A simple protocol for extracting an accurate thermal representation for quantum simulation

Jeffrey Cohn, Khadijeh Sona Najafi, Forest Yang +2

Quantum Gibbs state sampling algorithms generally suffer from either scaling exponentially with system size or requiring specific knowledge of spectral properties \textit{a priori}…

stat.ML2018★ 3 cited

Kernel-based Outlier Detection using the Inverse Christoffel Function

Armin Askari, Forest Yang, Laurent El Ghaoui

Outlier detection methods have become increasingly relevant in recent years due to increased security concerns and because of its vast application to different fields. Recently, Pa…