2025 "convergence guarantees" Papers
9 papers found
Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
Yuchen Liang, Renxiang Huang, Lifeng LAI et al.
NEURIPS 2025posterarXiv:2506.02318
4
citations
AdaGrad under Anisotropic Smoothness
Yuxing Liu, Rui Pan, Tong Zhang
ICLR 2025posterarXiv:2406.15244
14
citations
A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning
Daniel Tschernutter, David Diego Castro, Maciej Kasiński
NEURIPS 2025poster
A Stochastic Approach to the Subset Selection Problem via Mirror Descent
Dan Greenstein, Elazar Gershuni, Ilan Ben-Bassat et al.
ICLR 2025poster
Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
Yuchen Liang, Yingbin Liang, Lifeng LAI et al.
NEURIPS 2025posterarXiv:2509.16756
1
citations
Extragradient Method for $(L_0, L_1)$-Lipschitz Root-finding Problems
Sayantan Choudhury, Nicolas Loizou
NEURIPS 2025posterarXiv:2510.22421
Globally Optimal Policy Gradient Algorithms for Reinforcement Learning with PID Control Policies
Vipul Sharma, Wesley Suttle, S Sivaranjani
NEURIPS 2025poster
MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization
Da Chang, Ganzhao Yuan
NEURIPS 2025spotlight
Understanding outer learning rates in Local SGD
Ahmed Khaled, Satyen Kale, Arthur Douillard et al.
NEURIPS 2025poster