NeurIPS Poster "stochastic optimization" Papers

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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