Copertina

Riemannian Lyapunov Optimizer: A Unified Framework for Optimization

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Yixuan, Patil, Omkar Sudhir, Dixon, Warren E.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

System Identification and Control Using Lyapunov-Based Deep Neural Networks without Persistent Excitation: A Concurrent Learning Approach
di: Hart, Rebecca G., et al.
Pubblicazione: (2025)

Energy Generative Modeling: A Lyapunov-based Energy Matching Perspective
di: Wang, Yixuan, et al.
Pubblicazione: (2026)

LyLA-Therm: Lyapunov-based Langevin Adaptive Thermodynamic Neural Network Controller
di: Akbari, Saiedeh, et al.
Pubblicazione: (2025)

Lyapunov-Based Deep Neural Networks for Adaptive Control of Stochastic Nonlinear Systems
di: Akbari, Saiedeh, et al.
Pubblicazione: (2024)

Lyapunov-Based Deep Residual Neural Network (ResNet) Adaptive Control
di: Patil, Omkar Sudhir, et al.
Pubblicazione: (2024)

Simultaneous Online System Identification and Control using Composite Adaptive Lyapunov-Based Deep Neural Networks
di: Patil, Omkar Sudhir, et al.
Pubblicazione: (2023)

Goal inference with Rao-Blackwellized Particle Filters
di: Wang, Yixuan, et al.
Pubblicazione: (2025)

Collaborative Spacecraft Servicing under Partial Feedback using Lyapunov-based Deep Neural Networks
di: Nino, Cristian F., et al.
Pubblicazione: (2025)

Adaptive Deep Neural Network-Based Control Barrier Functions
di: Sweatland, Hannah M., et al.
Pubblicazione: (2024)

Effective Model Pruning: Measure The Redundancy of Model Components
di: Wang, Yixuan, et al.
Pubblicazione: (2025)

Lyapunov-Based Graph Neural Networks for Adaptive Control of Multi-Agent Systems
di: Fallin, Brandon C., et al.
Pubblicazione: (2025)

Langevin Dynamics: A Unified Perspective on Optimization via Lyapunov Potentials
di: Chen, August Y., et al.
Pubblicazione: (2024)

A Unified Lyapunov-IQC Framework for Uniform Stability of Smooth Quadratic First-Order Accelerated Optimizers
di: Li, Don, et al.
Pubblicazione: (2026)

A Framework for Bilevel Optimization on Riemannian Manifolds
di: Han, Andi, et al.
Pubblicazione: (2024)

Riemannian Optimization in Modular Systems
di: Pehle, Christian, et al.
Pubblicazione: (2026)

Riemannian Dueling Optimization
di: Ren, Yuxuan, et al.
Pubblicazione: (2026)

Riemannian Bilevel Optimization
di: Dutta, Sanchayan, et al.
Pubblicazione: (2024)

Riemannian Stochastic Optimization for Sufficient Dimension Reduction
di: Pautrel, Thibault, et al.
Pubblicazione: (2026)

Riemannian Optimization on Relaxed Indicator Matrix Manifold
di: Yuan, Jinghui, et al.
Pubblicazione: (2025)

Hadamard-Riemannian Optimization for Margin-Variance Ensemble
di: Jin, Zexu
Pubblicazione: (2025)

Distributed RISE-based Control for Exponential Heterogeneous Multi-Agent Target Tracking of Second-Order Nonlinear Systems
di: Nino, Cristian F., et al.
Pubblicazione: (2025)

DCatalyst: A Unified Accelerated Framework for Decentralized Optimization
di: Cao, Tianyu, et al.
Pubblicazione: (2025)

Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
di: Wang, Shiyu, et al.
Pubblicazione: (2025)

FROC: A Unified Framework with Risk-Optimized Control for Machine Unlearning in LLMs
di: Goh, Si Qi, et al.
Pubblicazione: (2025)

Riemannian Optimization for LoRA on the Stiefel Manifold
di: Park, Juneyoung, et al.
Pubblicazione: (2025)

Landing with the Score: Riemannian Optimization through Denoising
di: Kharitenko, Andrey, et al.
Pubblicazione: (2025)

Optimization, Isoperimetric Inequalities, and Sampling via Lyapunov Potentials
di: Chen, August Y., et al.
Pubblicazione: (2024)

Structured Preconditioners in Adaptive Optimization: A Unified Analysis
di: Xie, Shuo, et al.
Pubblicazione: (2025)

Pragmatic Curiosity: A Unified Framework for Hybrid Learning and Optimization via Active Inference
di: Li, Yingke, et al.
Pubblicazione: (2026)

A Unified Pairwise Framework for RLHF: Bridging Generative Reward Modeling and Policy Optimization
di: Xu, Wenyuan, et al.
Pubblicazione: (2025)

Policy Optimization Algorithms in a Unified Framework
di: Wu, Shuang
Pubblicazione: (2025)

Reward-aware Preference Optimization: A Unified Mathematical Framework for Model Alignment
di: Sun, Shengyang, et al.
Pubblicazione: (2025)

Riemannian Motion Generation: A Unified Framework for Human Motion Representation and Generation via Riemannian Flow Matching
di: Miao, Fangran, et al.
Pubblicazione: (2026)

A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization
di: Cheng, Nuojin, et al.
Pubblicazione: (2025)

A Unified Framework for Analyzing Meta-algorithms in Online Convex Optimization
di: Pedramfar, Mohammad, et al.
Pubblicazione: (2024)

A Unified Optimization Framework for Multiclass Classification with Structured Hyperplane Arrangements
di: Blanco, Víctor, et al.
Pubblicazione: (2025)

Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimization
di: Vu, Minh, et al.
Pubblicazione: (2024)

Intrinsic Muon: Spectral Optimization on Riemannian Matrix Manifolds
di: Li, Yibang, et al.
Pubblicazione: (2026)

Riemannian Optimization for Hadamard Products of Low-Rank Matrices
di: Jawanpuria, Pratik, et al.
Pubblicazione: (2026)

Riemannian Stochastic Gradient Method for Nested Composition Optimization
di: Zhang, Dewei, et al.
Pubblicazione: (2022)