Latest papers

CardsList

13 papers2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. Global O(k−2)\mathcal{O}\left(k^{-2}\right) Convergence of Multilevel Gradient-Regularized Newton Methods

    Oct 26, 2026Nick Tsipinakis, Matthias VoigtOptimization Convergence AnalysisSecond-Order Optimization

  2. Memory-Efficient Subspace Optimization with Residual Correction: From Momentum SGD to Muon

    Oct 14, 2026Sifan Yang, Hongyi Tao, Dingzhi Yu +5Subspace OptimizationMemory-Efficient Training

  3. AIM-ZO: Activation-Informed Subspace Maintenance for Zeroth-Order LLM Fine-Tuning

    Sep 28, 2026Yue Xie, Zhi Zheng, Yunpeng Ba +5Subspace OptimizationMemory-Efficient Fine-Tuning

  4. Gradient Descent with Stochastic Subspaces via Persistence of Memory

    Sep 16, 2026Subhroshekhar Ghosh, Clement Z. Q. Ng, Pierre-Louis Poirion +1Gradient DescentStochastic Optimization Convergence

  5. FedSubMuon: Communication-Efficient Federated LLM Fine-Tuning via Structured Subspace Muon

    Sep 5, 2026Shaolong Chen, Youming Tao, Shuzhen Chen +3Subspace OptimizationFederated Fine-Tuning

  6. Predicting When Random Low-Dimensional Reparameterizations Train Neural Networks

    Aug 12, 2026Andrew Cheng, Ali Eslamian, Jie Cheng +2Subspace Optimization

  7. Dysco: Dynamic Subspace Boosting to Mitigate LoRA Interference in Federated Learning

    Jul 15, 2026Haobo Zhang, Jiankun Wang, Suraj Rajendran +5Subspace OptimizationFederated Learning Aggregation

  8. Randomized Subspace Nesterov Accelerated Gradient

    May 1, 2026Gaku Omiya, Pierre-Louis Poirion, Akiko TakedaGradient DescentSmooth Convex Optimization

  9. Subspace Optimization for Efficient Federated Learning under Heterogeneous Data

    Apr 28, 2026Shuchen Zhu, Zhengyang Huang, Yuqi Xu +1Subspace OptimizationNon-IID Federated Learning

  10. Subspace Optimization for Backpropagation-Free Continual Test-Time Adaptation

    Mar 30, 2026Damian Sójka, Sebastian Cygert, Marc MasanaSubspace OptimizationContinual Test-Time Adaptation

  11. Linearized subspace refinement framework to expose hidden accuracy in trained neural networks

    Jan 20, 2026Wenbo Cao, Weiwei ZhangSubspace OptimizationNeural Network Optimization