collaborators

13 papers

cs.GT2026

Fisher Markets with Approximately Optimal Bundles and the Need for a PCP Theorem for PPAD

Argyrios Deligkas, John Fearnley, Alexandros Hollender +1

We study the problem of computing a competitive equilibrium with approximately optimal bundles in Fisher markets with separable piecewise-linear concave (SPLC) utility functions, m…

cs.CC2026

The Complexity of Min-Max Optimization for Quadratic Polynomials

Martino Bernasconi, Matteo Castiglioni, Andrea Celli +1

We prove that computing approximate stationary points of min-max optimization over the hypercube is PPAD-hard for quadratic polynomials. This holds even when the polynomials are mu…

cs.GT2026

On Cutting Cakes and Crossing Curves

Alexandros Hollender, Gilbert Maystre, Kilian Risse

We consider the classic envy-free cake-cutting problem where the goal is to cut and allocate a divisible resource among a set of agents in a way that avoids any envy between them.…

cs.DS2026

Min-Max Optimization Requires Exponentially Many Queries

Martino Bernasconi, Matteo Castiglioni, Andrea Celli +1

We study the query complexity of min-max optimization of a nonconvex-nonconcave function over . We show that, given oracle access to and to its grad…

cs.GT2026

Constant Inapproximability for Fisher Markets

Argyrios Deligkas, John Fearnley, Alexandros Hollender +1

We study the problem of computing approximate market equilibria in Fisher markets with separable piecewise-linear concave (SPLC) utility functions. In this setting, the problem was…

cs.GT2026

The Complexity of Two-Team Polymatrix Games with Independent Adversaries

Alexandros Hollender, Gilbert Maystre, Sai Ganesh Nagarajan

Adversarial multiplayer games are an important object of study in multiagent learning. In particular, polymatrix zero-sum games are a multiplayer setting where Nash equilibria are…