2 citations · 3 across the 7 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
math.OC2026
Mirror-Free Proximal Methods
Abhijeet Vyas, Brian Bullins
We present a \emph{mirror-free} mirror prox (MFMP) algorithm, which extends the classic approach of Nemirovski (2004) to allow for proximal-like updates without the explicit need f…
math.OC2026
Beyond First-Order Methods for -Structured Non-Monotone Variational Inequalities
Abhijeet Vyas, Brian Bullins
We propose novel high-order algorithms for a class of -structured non-monotone variational inequalities. In particular, work by Diakonikolas et al. (2021), which introduced…
cs.LG2026
Online Min-Max Optimization: From Individual Regrets to Cumulative Saddle Points
Abhijeet Vyas, Brian Bullins
We propose and study an online version of min-max optimization based on cumulative saddle points under a variety of performance measures beyond convex-concave settings. After first…