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Optimistic FTRL achieves linear convergence to Nash equilibria in harmonic games, a significant improvement over prior sublinear bounds.
RHMC can exponentially accelerate convergence for log-concave distributions, achieving remarkable efficiency in sampling with tailored random integration times.