A Coefficient Makes SVRG Effective
Fuente:
arXiv
Guardado en:
| Autores principales: | Yin, Yida, Xu, Zhiqiu, Li, Zhiyuan, Darrell, Trevor, Liu, Zhuang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
PPI-SVRG: Unifying Prediction-Powered Inference and Variance Reduction for Semi-Supervised Optimization
por: Ao, Ruicheng, et al.
Publicado: (2026)
por: Ao, Ruicheng, et al.
Publicado: (2026)
Implicit Bias of AdamW: $\ell_\infty$ Norm Constrained Optimization
por: Xie, Shuo, et al.
Publicado: (2024)
por: Xie, Shuo, et al.
Publicado: (2024)
A Penalty Approach for Differentiation Through Black-Box Quadratic Programming Solvers
por: Linghu, Yuxuan, et al.
Publicado: (2026)
por: Linghu, Yuxuan, et al.
Publicado: (2026)
Making SGD Parameter-Free
por: Carmon, Yair, et al.
Publicado: (2022)
por: Carmon, Yair, et al.
Publicado: (2022)
Learning to optimize: A tutorial for continuous and mixed-integer optimization
por: Chen, Xiaohan, et al.
Publicado: (2024)
por: Chen, Xiaohan, et al.
Publicado: (2024)
The Effectiveness of Local Updates for Decentralized Learning under Data Heterogeneity
por: Wu, Tongle, et al.
Publicado: (2024)
por: Wu, Tongle, et al.
Publicado: (2024)
Quantum Learning and Estimation for Coordinated Operation between Distribution Networks and Energy Communities
por: Zhuang, Yingrui, et al.
Publicado: (2025)
por: Zhuang, Yingrui, et al.
Publicado: (2025)
The Marginal Value of Momentum for Small Learning Rate SGD
por: Wang, Runzhe, et al.
Publicado: (2023)
por: Wang, Runzhe, et al.
Publicado: (2023)
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty
por: Sadana, Utsav, et al.
Publicado: (2023)
por: Sadana, Utsav, et al.
Publicado: (2023)
Improved Compression Bounds for Scenario Decision Making
por: Berger, Guillaume O.
Publicado: (2025)
por: Berger, Guillaume O.
Publicado: (2025)
Structured Reinforcement Learning for Combinatorial Decision-Making
por: Hoppe, Heiko, et al.
Publicado: (2025)
por: Hoppe, Heiko, et al.
Publicado: (2025)
A Family of Controllable Momentum Coefficients for Forward-Backward Accelerated Algorithms
por: Fu, Mingwei, et al.
Publicado: (2025)
por: Fu, Mingwei, et al.
Publicado: (2025)
Deceptive Sequential Decision-Making via Regularized Policy Optimization
por: Kim, Yerin, et al.
Publicado: (2025)
por: Kim, Yerin, et al.
Publicado: (2025)
Risk-Aware Financial Forecasting Enhanced by Machine Learning and Intuitionistic Fuzzy Multi-Criteria Decision-Making
por: Turgay, Safiye, et al.
Publicado: (2025)
por: Turgay, Safiye, et al.
Publicado: (2025)
Implicit Regularization Makes Overparameterized Asymmetric Matrix Sensing Robust to Perturbations
por: Wind, Johan S.
Publicado: (2023)
por: Wind, Johan S.
Publicado: (2023)
Wait-Less Offline Tuning and Re-solving for Online Decision Making
por: Sun, Jingruo, et al.
Publicado: (2024)
por: Sun, Jingruo, et al.
Publicado: (2024)
Effective Bilevel Optimization via Minimax Reformulation
por: Wang, Xiaoyu, et al.
Publicado: (2023)
por: Wang, Xiaoyu, et al.
Publicado: (2023)
On the Effectiveness of the z-Transform Method in Quadratic Optimization
por: Bach, Francis
Publicado: (2025)
por: Bach, Francis
Publicado: (2025)
Distributed Online Submodular Maximization under Communication Delays: A Simultaneous Decision-Making Approach
por: Xu, Zirui, et al.
Publicado: (2026)
por: Xu, Zirui, et al.
Publicado: (2026)
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
por: Liu, Hong, et al.
Publicado: (2023)
por: Liu, Hong, et al.
Publicado: (2023)
Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster
por: Vaswani, Sharan, et al.
Publicado: (2025)
por: Vaswani, Sharan, et al.
Publicado: (2025)
PAC Learnability of Scenario Decision-Making Algorithms: Necessary Conditions and Sufficient Conditions
por: Berger, Guillaume O., et al.
Publicado: (2025)
por: Berger, Guillaume O., et al.
Publicado: (2025)
Learning Fair And Effective Points-Based Rewards Programs
por: Hssaine, Chamsi, et al.
Publicado: (2025)
por: Hssaine, Chamsi, et al.
Publicado: (2025)
Fast and Effective Computation of Generalized Symmetric Matrix Factorization
por: Yang, Lei, et al.
Publicado: (2026)
por: Yang, Lei, et al.
Publicado: (2026)
AutoSGD: Automatic Learning Rate Selection for Stochastic Gradient Descent
por: Surjanovic, Nikola, et al.
Publicado: (2025)
por: Surjanovic, Nikola, et al.
Publicado: (2025)
AutoGD: Automatic Learning Rate Selection for Gradient Descent
por: Surjanovic, Nikola, et al.
Publicado: (2025)
por: Surjanovic, Nikola, et al.
Publicado: (2025)
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
por: Dellaporta, Charita, et al.
Publicado: (2024)
por: Dellaporta, Charita, et al.
Publicado: (2024)
Non-Asymptotic Global Convergence of PPO-Clip
por: Liu, Yin, et al.
Publicado: (2025)
por: Liu, Yin, et al.
Publicado: (2025)
Unified Convergence Analysis for Adaptive Optimization with Moving Average Estimator
por: Guo, Zhishuai, et al.
Publicado: (2021)
por: Guo, Zhishuai, et al.
Publicado: (2021)
Cheap Thrills: Effective Amortized Optimization Using Inexpensive Labels
por: Nguyen, Khai, et al.
Publicado: (2026)
por: Nguyen, Khai, et al.
Publicado: (2026)
Inference of Utilities and Time Preference in Sequential Decision-Making
por: Cao, Haoyang, et al.
Publicado: (2024)
por: Cao, Haoyang, et al.
Publicado: (2024)
Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming
por: Zhuang, Yubo, et al.
Publicado: (2023)
por: Zhuang, Yubo, et al.
Publicado: (2023)
Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems
por: Wu, Long, et al.
Publicado: (2024)
por: Wu, Long, et al.
Publicado: (2024)
Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion
por: Zeng, Hao, et al.
Publicado: (2024)
por: Zeng, Hao, et al.
Publicado: (2024)
Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs)
por: Riabinin, Artem, et al.
Publicado: (2025)
por: Riabinin, Artem, et al.
Publicado: (2025)
Exact Matrix Seriation through Mathematical Optimization: Stress and Effectiveness-Based Models
por: Blanco, Víctor, et al.
Publicado: (2025)
por: Blanco, Víctor, et al.
Publicado: (2025)
Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs
por: Chen, Ziang, et al.
Publicado: (2024)
por: Chen, Ziang, et al.
Publicado: (2024)
Rethinking the Capacity of Graph Neural Networks for Branching Strategy
por: Chen, Ziang, et al.
Publicado: (2024)
por: Chen, Ziang, et al.
Publicado: (2024)
A New Convergence Analysis of Plug-and-Play Proximal Gradient Descent Under Prior Mismatch
por: Xu, Guixian, et al.
Publicado: (2026)
por: Xu, Guixian, et al.
Publicado: (2026)
Empirical Risk Minimization with Shuffled SGD: A Primal-Dual Perspective and Improved Bounds
por: Cai, Xufeng, et al.
Publicado: (2023)
por: Cai, Xufeng, et al.
Publicado: (2023)
Ejemplares similares
-
PPI-SVRG: Unifying Prediction-Powered Inference and Variance Reduction for Semi-Supervised Optimization
por: Ao, Ruicheng, et al.
Publicado: (2026) -
Implicit Bias of AdamW: $\ell_\infty$ Norm Constrained Optimization
por: Xie, Shuo, et al.
Publicado: (2024) -
A Penalty Approach for Differentiation Through Black-Box Quadratic Programming Solvers
por: Linghu, Yuxuan, et al.
Publicado: (2026) -
Making SGD Parameter-Free
por: Carmon, Yair, et al.
Publicado: (2022) -
Learning to optimize: A tutorial for continuous and mixed-integer optimization
por: Chen, Xiaohan, et al.
Publicado: (2024)