A. Vyas

works on

adjacency matrix 1 graph theory 1 quantum information 1 quantum-like states 1 qubit construction 1 regular graphs 1

From the 1 of 5 linked papers with an AI index.

most citedNeural Operator: Is data all you need to model the world? An insight into the paradigm of data-driven scientific ML

2 citations · 2 across the 4 of their papers we have counts for

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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 $ℓ_{p}$ -Structured Non-Monotone Variational Inequalities

Abhijeet Vyas, Brian Bullins

We propose novel high-order algorithms for a class of $ℓ_{p}$ -structured non-monotone variational inequalities. In particular, work by Diakonikolas et al. (2021), which introduced…

Mirror-Free Proximal Methods

Beyond First-Order Methods for ℓp​-Structured Non-Monotone Variational Inequalities

Beyond First-Order Methods for $ℓ_{p}$ -Structured Non-Monotone Variational Inequalities