Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Qiang, Wai, Hoi-To |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data
by: Liu, Haitong, et al.
Published: (2023)
by: Liu, Haitong, et al.
Published: (2023)
Tighter Analysis for Decentralized Stochastic Gradient Method: Impact of Data Homogeneity
by: Li, Qiang, et al.
Published: (2024)
by: Li, Qiang, et al.
Published: (2024)
Asynchronous and Stochastic Distributed Resource Allocation
by: Li, Qiang, et al.
Published: (2025)
by: Li, Qiang, et al.
Published: (2025)
Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Clipping Bias and Remedies
by: Li, Qiang, et al.
Published: (2024)
by: Li, Qiang, et al.
Published: (2024)
Stochastic Push-Pull for Decentralized Nonconvex Optimization
by: You, Runze, et al.
Published: (2025)
by: You, Runze, et al.
Published: (2025)
Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization
by: Wang, Nuozhou, et al.
Published: (2025)
by: Wang, Nuozhou, et al.
Published: (2025)
Stochastic Gradient Descent with Strategic Querying
by: Jiang, Nanfei, et al.
Published: (2025)
by: Jiang, Nanfei, et al.
Published: (2025)
Computing Equilibria in Stochastic Nonconvex and Non-monotone Games via Gradient-Response Schemes
by: Xiao, Zhuoyu, et al.
Published: (2025)
by: Xiao, Zhuoyu, et al.
Published: (2025)
Dual Averaging Converges for Nonconvex Smooth Stochastic Optimization
by: Liu, Tuo, et al.
Published: (2025)
by: Liu, Tuo, et al.
Published: (2025)
Compressed Distributed Stochastic Nonconvex Optimization with Differential Privacy
by: Xie, Antai, et al.
Published: (2026)
by: Xie, Antai, et al.
Published: (2026)
Revisiting the Constant Stepsize Stochastic Approximation with Decision-Dependent Markovian Noise
by: Hadavi, Hadi, et al.
Published: (2026)
by: Hadavi, Hadi, et al.
Published: (2026)
Trust Region Methods For Nonconvex Stochastic Optimization Beyond Lipschitz Smoothness
by: Xie, Chenghan, et al.
Published: (2023)
by: Xie, Chenghan, et al.
Published: (2023)
Stochastic Bregman Subgradient Methods for Nonsmooth Nonconvex Optimization Problems
by: Ding, Kuangyu, et al.
Published: (2024)
by: Ding, Kuangyu, et al.
Published: (2024)
Heterogeneous Stochastic Momentum ADMM for Distributed Nonconvex Composite Optimization
by: Zhang, Yangming, et al.
Published: (2026)
by: Zhang, Yangming, et al.
Published: (2026)
Compressed Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization
by: Wang, Haonan, et al.
Published: (2025)
by: Wang, Haonan, et al.
Published: (2025)
A Two-timescale Primal-dual Algorithm for Decentralized Optimization with Compression
by: Liu, Haoming, et al.
Published: (2025)
by: Liu, Haoming, et al.
Published: (2025)
Smoothing-Enabled Randomized Stochastic Gradient Schemes for Solving Nonconvex Nonsmooth Potential Games under Uncertainty
by: Xiao, Zhuoyu
Published: (2026)
by: Xiao, Zhuoyu
Published: (2026)
Decentralized Learning with Dynamically Refined Edge Weights: A Data-Dependent Framework
by: Du, Rongxing, et al.
Published: (2026)
by: Du, Rongxing, et al.
Published: (2026)
A Momentum-based Stochastic Algorithm for Linearly Constrained Nonconvex Optimization
by: Qiu, Chenyang, et al.
Published: (2026)
by: Qiu, Chenyang, et al.
Published: (2026)
A Unified Inexact Stochastic ADMM for Composite Nonconvex and Nonsmooth Optimization
by: Zeng, Yuxuan, et al.
Published: (2024)
by: Zeng, Yuxuan, et al.
Published: (2024)
Inexact Zeroth-Order Nonsmooth and Nonconvex Stochastic Composite Optimization and Applications
by: Pougkakiotis, Spyridon, et al.
Published: (2025)
by: Pougkakiotis, Spyridon, et al.
Published: (2025)
Efficient Single-Loop Stochastic Algorithms for Nonconvex-Concave Minimax Optimization
by: Jiang, Xia, et al.
Published: (2025)
by: Jiang, Xia, et al.
Published: (2025)
Stochastic Approximation for Expectation Objective and Expectation Inequality-Constrained Nonconvex Optimization
by: Facchinei, Francisco, et al.
Published: (2023)
by: Facchinei, Francisco, et al.
Published: (2023)
Adaptive Regularization within Trust Region Methods for Stochastic Nonconvex Optimization
by: Ha, Yunsoo, et al.
Published: (2026)
by: Ha, Yunsoo, et al.
Published: (2026)
A Communication-Efficient Stochastic Gradient Descent Algorithm for Distributed Nonconvex Optimization
by: Xie, Antai, et al.
Published: (2024)
by: Xie, Antai, et al.
Published: (2024)
Negative Curvature Methods with High-Probability Complexity Guarantees for Stochastic Nonconvex Optimization
by: Berahas, Albert S., et al.
Published: (2026)
by: Berahas, Albert S., et al.
Published: (2026)
Zeroth-order Gradient and Quasi-Newton Methods for Nonsmooth Nonconvex Stochastic Optimization
by: Marrinan, Luke, et al.
Published: (2023)
by: Marrinan, Luke, et al.
Published: (2023)
Zeroth-Order Federated Methods for Stochastic MPECs and Nondifferentiable Nonconvex Hierarchical Optimization
by: Qiu, Yuyang, et al.
Published: (2023)
by: Qiu, Yuyang, et al.
Published: (2023)
A Stochastic Approximation Approach for Efficient Decentralized Optimization on Random Networks
by: Yau, Chung-Yiu, et al.
Published: (2024)
by: Yau, Chung-Yiu, et al.
Published: (2024)
Decentralized Stochastic Nonconvex Optimization under the Relaxed Smoothness
by: Luo, Luo, et al.
Published: (2025)
by: Luo, Luo, et al.
Published: (2025)
Decentralized Stochastic Optimization over Unreliable Networks via Two-timescales Updates
by: Liu, Haoming, et al.
Published: (2025)
by: Liu, Haoming, et al.
Published: (2025)
Methods of Nonconvex Optimization
by: Mikhalevich, V. S., et al.
Published: (2024)
by: Mikhalevich, V. S., et al.
Published: (2024)
SUN-DSBO: A Structured Unified Framework for Nonconvex Decentralized Stochastic Bilevel Optimization
by: Ma, Yaoshuai, et al.
Published: (2026)
by: Ma, Yaoshuai, et al.
Published: (2026)
Tight Lower Bounds and Optimal Algorithms for Stochastic Nonconvex Optimization with Heavy-Tailed Noise
by: Fradin, Adrien, et al.
Published: (2025)
by: Fradin, Adrien, et al.
Published: (2025)
Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization
by: Li, Jiaxiang, et al.
Published: (2024)
by: Li, Jiaxiang, et al.
Published: (2024)
Zeroth-Order Methods for Stochastic Nonconvex Nonsmooth Composite Optimization
by: Chen, Ziyi, et al.
Published: (2025)
by: Chen, Ziyi, et al.
Published: (2025)
Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
by: Chen, Lesi, et al.
Published: (2023)
by: Chen, Lesi, et al.
Published: (2023)
Compressed Momentum-based Single-Point Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization
by: Chen, Linjing, et al.
Published: (2025)
by: Chen, Linjing, et al.
Published: (2025)
Asymptotics of Proximity Operator for Squared Loss and Performance Prediction of Nonconvex Sparse Signal Recovery
by: Hayakawa, Ryo
Published: (2021)
by: Hayakawa, Ryo
Published: (2021)
Similar Items
-
Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data
by: Liu, Haitong, et al.
Published: (2023) -
Tighter Analysis for Decentralized Stochastic Gradient Method: Impact of Data Homogeneity
by: Li, Qiang, et al.
Published: (2024) -
Asynchronous and Stochastic Distributed Resource Allocation
by: Li, Qiang, et al.
Published: (2025) -
Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Clipping Bias and Remedies
by: Li, Qiang, et al.
Published: (2024) -
Stochastic Push-Pull for Decentralized Nonconvex Optimization
by: You, Runze, et al.
Published: (2025)