Variational Inequality Problems: design of unifying first-order/high-order algorithms and their iteration complexity analysis Saddle Point Problems and Continuous Optimization: with applications in machine learning and reinforcement learning Stochastic Algorithms and Variance Reduction: applied to stochastic and finite-sum variational inequalities/optimization
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