Cover Image

AlphaAdam:Asynchronous Masked Optimization with Dynamic Alpha for Selective Updates

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chang, Da, Li, Yu, Yuan, Ganzhao
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Convergence of Muon and Beyond
by: Chang, Da, et al.
Published: (2025)

AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs
by: He, Di, et al.
Published: (2025)

Adaptive Lipschitz-Free Conditional Gradient Methods for Stochastic Composite Nonconvex Optimization
by: Yuan, Ganzhao
Published: (2026)

OptEMA: Adaptive Exponential Moving Average for Stochastic Optimization with Zero-Noise Optimality
by: Yuan, Ganzhao
Published: (2026)

A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality Constraints
by: Yuan, Ganzhao
Published: (2023)

ADMM for Structured Fractional Minimization
by: Yuan, Ganzhao
Published: (2024)

AlphaZero-Edu: Democratizing Access to AlphaZero
by: Li, Ruitong, et al.
Published: (2025)

APO: Alpha-Divergence Preference Optimization
by: Zixian, Wang
Published: (2025)

Quantum Circuit Optimization with AlphaTensor
by: Ruiz, Francisco J. R., et al.
Published: (2024)

MuonEq: Balancing Before Orthogonalization with Lightweight Equilibration
by: Chang, Da, et al.
Published: (2026)

AlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problems
by: Zhou, Ruihan, et al.
Published: (2024)

Alpha Entropy Search for New Information-based Bayesian Optimization
by: Fernández-Sánchez, Daniel, et al.
Published: (2024)

Regret-Guided Search Control for Efficient Learning in AlphaZero
by: Tsai, Yun-Jui, et al.
Published: (2026)

Alpha Excel Benchmark
by: Noever, David, et al.
Published: (2025)

Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise
by: Ahn, Kwangjun, et al.
Published: (2024)

AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining
by: Ding, Hongjun, et al.
Published: (2025)

ShortCircuit: AlphaZero-Driven Circuit Design
by: Tsaras, Dimitrios, et al.
Published: (2024)

AlphaFold Database Debiasing for Robust Inverse Folding
by: Tan, Cheng, et al.
Published: (2025)

AlphaFold's Bayesian Roots in Probability Kinematics
by: Hamelryck, Thomas, et al.
Published: (2025)

AlphaGrad: Non-Linear Gradient Normalization Optimizer
by: Sane, Soham
Published: (2025)

Alpha-R1: Alpha Screening with LLM Reasoning via Reinforcement Learning
by: Jiang, Zuoyou, et al.
Published: (2025)

AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization
by: Wu, Junkang, et al.
Published: (2024)

H-Alpha Anomalyzer: An Explainable Anomaly Detector for Solar H-Alpha Observations
by: Khazaei, Mahsa, et al.
Published: (2025)

Asynchronous Diffusion Learning with Agent Subsampling and Local Updates
by: Rizk, Elsa, et al.
Published: (2024)

AlphaFolding: 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance
by: Cheng, Kaihui, et al.
Published: (2024)

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization
by: Sane, Soham
Published: (2025)

On Surprising Effectiveness of Masking Updates in Adaptive Optimizers
by: Joo, Taejong, et al.
Published: (2026)

Magellan: Autonomous Discovery of Novel Compiler Optimization Heuristics with AlphaEvolve
by: Chen, Hongzheng, et al.
Published: (2026)

Alpha-divergence loss function for neural density ratio estimation
by: Kitazawa, Yoshiaki
Published: (2024)

AlphaLab: Autonomous Multi-Agent Research Across Optimization Domains with Frontier LLMs
by: Hogan, Brendan R., et al.
Published: (2026)

Improving AlphaFlow for Efficient Protein Ensembles Generation
by: Li, Shaoning, et al.
Published: (2024)

Adam Converges Without Any Modification On Update Rules
by: Zhang, Yushun, et al.
Published: (2026)

Alpha Discovery via Grammar-Guided Learning and Search
by: Yang, Han, et al.
Published: (2026)

Super-Exponential Regret for UCT, AlphaGo and Variants
by: Orseau, Laurent, et al.
Published: (2024)

Diversifying AI: Towards Creative Chess with AlphaZero
by: Zahavy, Tom, et al.
Published: (2023)

Alpha-Trimming: Locally Adaptive Tree Pruning for Random Forests
by: Surjanovic, Nikola, et al.
Published: (2024)

AlphaFold Meets Flow Matching for Generating Protein Ensembles
by: Jing, Bowen, et al.
Published: (2024)

AlphaApollo: A System for Deep Agentic Reasoning
by: Zhou, Zhanke, et al.
Published: (2025)

Alpha and Prejudice: Improving $α$-sized Worst-case Fairness via Intrinsic Reweighting
by: Li, Jing, et al.
Published: (2024)

Increase Alpha: Performance and Risk of an AI-Driven Trading Framework
by: Ghatak, Sid, et al.
Published: (2025)