2 papers
math.OC2026
Frictionless Hamiltonian Descent and Coordinate Hamiltonian Descent for Strongly Convex Quadratic Problems
Jun-Kun Wang
We propose an optimization algorithm called Frictionless Hamiltonian Descent, which is a direct counterpart of classical Hamiltonian Monte Carlo in sampling. We analyze Frictionles…
math.OC2026
Lions and Muons: Optimization via Stochastic Frank-Wolfe under Heavy-Tailed Noise
Maria-Eleni Sfyraki, Jun-Kun Wang
Stochastic Frank-Wolfe is a classical optimization method for solving constrained optimization problems. On the other hand, recent optimizers such as Lion and Muon have gained quit…