Ashley Prater-Bennette

activity

20182026

most citedModel-Free Robust Average-Reward Reinforcement Learning

3 citations · 3 across the 9 of their papers we have counts for

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Showing 2024Show all

3 papers · 1 filter

stat.ML2024

Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization

Qi Zhang, Yi Zhou, Ashley Prater-Bennette +2

Distributionally robust optimization (DRO) is a powerful framework for training robust models against data distribution shifts. This paper focuses on constrained DRO, which has an…

math.OC2024

Sparse Recovery: The Square of $ℓ_{1} / ℓ_{2}$ Norms

Jianqing Jia, Ashley Prater-Bennette, Lixin Shen +1

This paper introduces a nonconvex approach for sparse signal recovery, proposing a novel model termed the $τ_{2}$ -model, which utilizes the squared $ℓ_{1} / ℓ_{2}$ norms for this pur…

math.OC2024

Computing Proximity Operators of Scale and Signed Permutation Invariant Functions

Jianqing Jia, Ashley Prater-Bennette, Lixin Shen

This paper investigates the computation of proximity operators for scale and signed permutation invariant functions. A scale-invariant function remains unchanged under uniform scal…

Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization

Sparse Recovery: The Square of ℓ1​/ℓ2​ Norms

Computing Proximity Operators of Scale and Signed Permutation Invariant Functions

Sparse Recovery: The Square of $ℓ_{1} / ℓ_{2}$ Norms