Saved in:
| Main Authors: | Deng, Ke, Zhang, Hanwen, Lu, Jin, Sun, Haijian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.00304 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BAGEL: Projection-Free Algorithm for Adversarially Constrained Online Convex Optimization
by: Lu, Yiyang, et al.
Published: (2025)
by: Lu, Yiyang, et al.
Published: (2025)
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis
by: Chen, Lesi, et al.
Published: (2023)
by: Chen, Lesi, et al.
Published: (2023)
Double Momentum Method for Lower-Level Constrained Bilevel Optimization
by: Shi, Wanli, et al.
Published: (2024)
by: Shi, Wanli, et al.
Published: (2024)
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
by: Lu, Songtao
Published: (2022)
by: Lu, Songtao
Published: (2022)
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks
by: Ke, Zhifa, et al.
Published: (2024)
by: Ke, Zhifa, et al.
Published: (2024)
Neural Solver Selection for Combinatorial Optimization
by: Gao, Chengrui, et al.
Published: (2024)
by: Gao, Chengrui, et al.
Published: (2024)
Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts
by: Chen, Lizhang, et al.
Published: (2023)
by: Chen, Lizhang, et al.
Published: (2023)
Client-Centric Federated Adaptive Optimization
by: Sun, Jianhui, et al.
Published: (2025)
by: Sun, Jianhui, et al.
Published: (2025)
Constructing Industrial-Scale Optimization Modeling Benchmark
by: Li, Zhong, et al.
Published: (2026)
by: Li, Zhong, et al.
Published: (2026)
Boosting Gradient Ascent for Continuous DR-submodular Maximization
by: Zhang, Qixin, et al.
Published: (2024)
by: Zhang, Qixin, et al.
Published: (2024)
Bilevel Optimization over Saddle Points of Zero-Sum Markov Games
by: Zheng, Zihao, et al.
Published: (2026)
by: Zheng, Zihao, et al.
Published: (2026)
Power Constrained Nonstationary Bandits with Habituation and Recovery Dynamics
by: Li, Fengxu, et al.
Published: (2025)
by: Li, Fengxu, et al.
Published: (2025)
Stochastic Optimization of Inventory at Large-scale Supply Chains
by: Jin, Zhaoyang Larry, et al.
Published: (2025)
by: Jin, Zhaoyang Larry, et al.
Published: (2025)
Understanding Optimization in Deep Learning with Central Flows
by: Cohen, Jeremy M., et al.
Published: (2024)
by: Cohen, Jeremy M., et al.
Published: (2024)
Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue Optimization
by: Shen, Junhui, et al.
Published: (2025)
by: Shen, Junhui, et al.
Published: (2025)
Learning Branching Policies for MILPs with Proximal Policy Optimization
by: Mhamed, Abdelouahed Ben, et al.
Published: (2025)
by: Mhamed, Abdelouahed Ben, et al.
Published: (2025)
Deep Learning for Two-Stage Robust Integer Optimization
by: Dumouchelle, Justin, et al.
Published: (2023)
by: Dumouchelle, Justin, et al.
Published: (2023)
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
by: Dickens, Charles, et al.
Published: (2024)
by: Dickens, Charles, et al.
Published: (2024)
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning
by: Adde, Nihal Acharya, et al.
Published: (2024)
by: Adde, Nihal Acharya, et al.
Published: (2024)
Optimizer-Model Consistency: Full Finetuning with the Same Optimizer as Pretraining Forgets Less
by: Liu, Yuxing, et al.
Published: (2026)
by: Liu, Yuxing, et al.
Published: (2026)
Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling
by: Hao, Yongchang, et al.
Published: (2026)
by: Hao, Yongchang, et al.
Published: (2026)
Multi-Objective Optimization for Sparse Deep Multi-Task Learning
by: Hotegni, S. S., et al.
Published: (2023)
by: Hotegni, S. S., et al.
Published: (2023)
On the Condition Number Dependency in Bilevel Optimization
by: Chen, Lesi, et al.
Published: (2025)
by: Chen, Lesi, et al.
Published: (2025)
Logistics Hub Location Optimization: A K-Means and P-Median Model Hybrid Approach Using Road Network Distances
by: Rahman, Muhammad Abdul, et al.
Published: (2023)
by: Rahman, Muhammad Abdul, et al.
Published: (2023)
Rolling Ball Optimizer: Learning by ironing out loss landscape wrinkles
by: Belgoumri, Mohammed Djameleddine, et al.
Published: (2025)
by: Belgoumri, Mohammed Djameleddine, et al.
Published: (2025)
Hindsight-Guided Momentum (HGM) Optimizer: An Approach to Adaptive Learning Rate
by: Sarkar, Krisanu
Published: (2025)
by: Sarkar, Krisanu
Published: (2025)
HUANet: Hard-Constrained Unrolled ADMM for Constrained Convex Optimization
by: Tran, Trinh, et al.
Published: (2026)
by: Tran, Trinh, et al.
Published: (2026)
Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?
by: Su, Weijie
Published: (2025)
by: Su, Weijie
Published: (2025)
Optimizer-Induced Mode Connectivity: From AdamW to Muon
by: Zhang, Fangzhao, et al.
Published: (2026)
by: Zhang, Fangzhao, et al.
Published: (2026)
Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling
by: Li, Sirui, et al.
Published: (2025)
by: Li, Sirui, et al.
Published: (2025)
A Benchmark for Maximum Cut: Towards Standardization of the Evaluation of Learned Heuristics for Combinatorial Optimization
by: Nath, Ankur, et al.
Published: (2024)
by: Nath, Ankur, et al.
Published: (2024)
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months
by: Rezk, Fady, et al.
Published: (2023)
by: Rezk, Fady, et al.
Published: (2023)
Contextual Distributionally Robust Optimization with Causal and Continuous Structure: An Interpretable and Tractable Approach
by: Zhang, Fenglin, et al.
Published: (2026)
by: Zhang, Fenglin, et al.
Published: (2026)
Learning Concave Bid Shading Strategies in Online Auctions via Measure-valued Proximal Optimization
by: Nodozi, Iman, et al.
Published: (2025)
by: Nodozi, Iman, et al.
Published: (2025)
Zeroth-Order Optimization Finds Flat Minima
by: Zhang, Liang, et al.
Published: (2025)
by: Zhang, Liang, et al.
Published: (2025)
Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
by: Rosemberg, Andrew, et al.
Published: (2025)
by: Rosemberg, Andrew, et al.
Published: (2025)
Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks
by: Islam, MD Shafikul, et al.
Published: (2023)
by: Islam, MD Shafikul, et al.
Published: (2023)
Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $μ$P Parametrization
by: Chen, Zixiang, et al.
Published: (2025)
by: Chen, Zixiang, et al.
Published: (2025)
Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Technique
by: Kiruluta, Andrew, et al.
Published: (2024)
by: Kiruluta, Andrew, et al.
Published: (2024)
Optimizing the Optimizer for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks
by: Kiyani, Elham, et al.
Published: (2025)
by: Kiyani, Elham, et al.
Published: (2025)
Similar Items
-
BAGEL: Projection-Free Algorithm for Adversarially Constrained Online Convex Optimization
by: Lu, Yiyang, et al.
Published: (2025) -
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis
by: Chen, Lesi, et al.
Published: (2023) -
Double Momentum Method for Lower-Level Constrained Bilevel Optimization
by: Shi, Wanli, et al.
Published: (2024) -
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
by: Lu, Songtao
Published: (2022) -
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks
by: Ke, Zhifa, et al.
Published: (2024)