Poster "online convex optimization" Papers
13 papers found
Conference
CONGO: Compressive Online Gradient Optimization
Jeremy Carleton, Prathik Vijaykumar, Divyanshu Saxena et al.
ICLR 2025arXiv:2407.06325
Dynamic Regret Reduces to Kernelized Static Regret
Andrew Jacobsen, Alessandro Rudi, Francesco Orabona et al.
NEURIPS 2025arXiv:2507.05478
2
citations
Fairness-Regularized Online Optimization with Switching Costs
Pengfei Li, Yuelin Han, Adam Wierman et al.
NEURIPS 2025arXiv:2512.11131
Parameter-free Algorithms for the Stochastically Extended Adversarial Model
Shuche Wang, Adarsh Barik, Peng Zhao et al.
NEURIPS 2025arXiv:2510.04685
Stochastic-Constrained Stochastic Optimization with Markovian Data
Yeongjong Kim, Dabeen Lee
NEURIPS 2025arXiv:2312.04312
Differentially Private Worst-group Risk Minimization
Xinyu Zhou, Raef Bassily
ICML 2024arXiv:2402.19437
6
citations
Discounted Adaptive Online Learning: Towards Better Regularization
Zhiyu Zhang, David Bombara, Heng Yang
ICML 2024arXiv:2402.02720
12
citations
Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements
Naman Agarwal, Satyen Kale, Karan Singh et al.
ICML 2024
Non-stationary Online Convex Optimization with Arbitrary Delays
Yuanyu Wan, Chang Yao, Mingli Song et al.
ICML 2024
Projection-Free Online Convex Optimization with Time-Varying Constraints
Dan Garber, Ben Kretzu
ICML 2024arXiv:2402.08799
5
citations
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making
Seok-Ju Hahn, Gi-Soo Kim, Junghye Lee
ICML 2024arXiv:2405.20821
2
citations
Random Scaling and Momentum for Non-smooth Non-convex Optimization
Qinzi Zhang, Ashok Cutkosky
ICML 2024arXiv:2405.09742
8
citations
Small-loss Adaptive Regret for Online Convex Optimization
Wenhao Yang, Wei Jiang, Yibo Wang et al.
ICML 2024