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math.OC2026
Constrained Nonconvex Stochastic Optimization with One Projection
Yuyang Deng, Mohammadreza M. Kalan, Eitan J. Neugut +1
Constrained nonconvex optimization has seen increasing application in modern machine learning, such as safe LLM alignment/finetuning, transfer learning and rank-constrained continu…
math.OC2024
Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees
Yuyang Deng, Fuli Qiao, Mehrdad Mahdavi
Stochastic compositional minimax problems are prevalent in machine learning, yet there are only limited established on the convergence of this class of problems. In this paper, we…