2025 Poster "stochastic optimization" Papers
10 papers found
Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization
Khanh-Hung (Bruce) Giang-Tran, Soroosh Shafiee, Nam Ho-Nguyen
NeurIPS 2025posterarXiv:2505.18037
Differentially Private Bilevel Optimization: Efficient Algorithms with Near-Optimal Rates
Andrew Lowy, Daogao Liu
NeurIPS 2025posterarXiv:2506.12994
1
citations
Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules
Gonzalo E. Constante, Hao Chen, Can Li
NeurIPS 2025posterarXiv:2505.13858
4
citations
Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size
Rustem Islamov, Niccolò Ajroldi, Antonio Orvieto et al.
NeurIPS 2025posterarXiv:2508.15071
Learning-Augmented Online Bidding in Stochastic Settings
Spyros Angelopoulos, Bertrand Simon
NeurIPS 2025posterarXiv:2510.25582
New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results
Francesco Orabona, Ryan D'Orazio
NeurIPS 2025posterarXiv:2505.20219
5
citations
Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping
Zijian Liu, Zhengyuan Zhou
ICLR 2025posterarXiv:2412.19529
23
citations
Optimization with Access to Auxiliary Information
EL MAHDI CHAYTI, Sai Karimireddy
ICLR 2025posterarXiv:2206.00395
14
citations
Stochastic-Constrained Stochastic Optimization with Markovian Data
Yeongjong Kim, Dabeen Lee
NeurIPS 2025posterarXiv:2312.04312
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams et al.
ICLR 2025posterarXiv:2410.02490