Zhirayr Tovmasyan, Grigory Malinovsky, Laurent Condat, Peter Richtárik, Revisiting stochastic proximal point methods: Generalized smoothness and similarity
Lien T. Nguyen, Andrew Eberhard, Xinghuo Yu, Chaojie Li, Accelerating continuous-time optimization with fixed-time time-varying second-order dynamics
Endrit Dosti, Sergiy A. Vorobyov, Themistoklis Charalambous, Nesterov’s acceleration at the Limit: First-order schemes
Qiushui Xu, Necdet S. Aybat, Mert Gürbüzbalaban, An accelerated primal dual algorithm with backtracking for decentralized constrained optimization
A. A. Vyguzov, F. S. Stonyakin, A. V. Gasnikov, Frank-Wolfe algorithms for $(L_0, L_1)$-smooth functions
Glaydston C. Bento, Claudemir R. Santiago, On the convergence and properties of a proximal-gradient method on Hadamard manifolds
K. Gupta, D. Ghosh, C. Tammer, X. Zhao, J. C. Yao, A quasi-newton method to solve uncertain multiobjective optimization problems with uncertainty set of finite cardinality
Yaohua Hu, Jingchao Li, Chezhou Yang, Carisa Kwok Wai Yu, Stochastic quasi-subgradient methods with Bregman projection for stochastic quasi-convex feasibility problems
