Level Set Teleportation: An Optimization Perspective
Fuente:
arXiv
Saved in:
| Main Authors: | Mishkin, Aaron, Bietti, Alberto, Gower, Robert M. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
by: Mishkin, Aaron, et al.
Published: (2024)
by: Mishkin, Aaron, et al.
Published: (2024)
Faster Convergence of Stochastic Accelerated Gradient Descent under Interpolation
by: Mishkin, Aaron, et al.
Published: (2024)
by: Mishkin, Aaron, et al.
Published: (2024)
Step-Size Stability in Stochastic Optimization: A Theoretical Perspective
by: Schaipp, Fabian, et al.
Published: (2026)
by: Schaipp, Fabian, et al.
Published: (2026)
Glocal Smoothness: Line search and adaptive step sizes can help in theory too!
by: Fox, Curtis, et al.
Published: (2025)
by: Fox, Curtis, et al.
Published: (2025)
SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms
by: Abdukhakimov, Farshed, et al.
Published: (2023)
by: Abdukhakimov, Farshed, et al.
Published: (2023)
Scalable Decentralized Learning with Teleportation
by: Takezawa, Yuki, et al.
Published: (2025)
by: Takezawa, Yuki, et al.
Published: (2025)
Improving Convergence and Generalization Using Parameter Symmetries
by: Zhao, Bo, et al.
Published: (2023)
by: Zhao, Bo, et al.
Published: (2023)
Non-Euclidean Gradient Descent Operates at the Edge of Stability
by: Islamov, Rustem, et al.
Published: (2026)
by: Islamov, Rustem, et al.
Published: (2026)
Muon Does Not Converge on Convex Lipschitz Functions
by: Parshakova, Tetiana, et al.
Published: (2026)
by: Parshakova, Tetiana, et al.
Published: (2026)
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models
by: Kunstner, Frederik, et al.
Published: (2024)
by: Kunstner, Frederik, et al.
Published: (2024)
Preference-Optimized Pareto Set Learning for Blackbox Optimization
by: Haishan, Zhang, et al.
Published: (2024)
by: Haishan, Zhang, et al.
Published: (2024)
From Distributional Robustness to Robust Statistics: A Confidence Sets Perspective
by: Chan, Gabriel, et al.
Published: (2024)
by: Chan, Gabriel, et al.
Published: (2024)
How to Set $β_1, β_2$ in Adam: An Online Learning Perspective
by: Nguyen, Quan
Published: (2025)
by: Nguyen, Quan
Published: (2025)
Convergence Analysis of the Lion Optimizer in Centralized and Distributed Settings
by: Jiang, Wei, et al.
Published: (2025)
by: Jiang, Wei, et al.
Published: (2025)
MOSS: Multi-Objective Optimization for Stable Rule Sets
by: Liu, Brian, et al.
Published: (2025)
by: Liu, Brian, et al.
Published: (2025)
Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems
by: Shang, Chikai, et al.
Published: (2024)
by: Shang, Chikai, et al.
Published: (2024)
Causal-Aware Foundation-Model for Bilevel Optimization in Discrete Choice Settings
by: Subramanian, Shivaram, et al.
Published: (2026)
by: Subramanian, Shivaram, et al.
Published: (2026)
A Support-Set Algorithm for Optimization Problems with Nonnegative and Orthogonal Constraints
by: Wang, Lei, et al.
Published: (2025)
by: Wang, Lei, et al.
Published: (2025)
Bilevel Optimization with Lower-Level Uniform Convexity: Theory and Algorithm
by: Wu, Yuman, et al.
Published: (2026)
by: Wu, Yuman, et al.
Published: (2026)
Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization
by: Ye, Rongguang, et al.
Published: (2024)
by: Ye, Rongguang, et al.
Published: (2024)
Model-Free $μ$-Synthesis: A Nonsmooth Optimization Perspective
by: Keivan, Darioush, et al.
Published: (2024)
by: Keivan, Darioush, et al.
Published: (2024)
Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives
by: Katyal, Calder
Published: (2024)
by: Katyal, Calder
Published: (2024)
A Consistency-Centric Approach to Set-Based Optimization with Multiple Models of Unranked Fidelity
by: Morey, Danielle F., et al.
Published: (2026)
by: Morey, Danielle F., et al.
Published: (2026)
Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization
by: Hihat, Massil, et al.
Published: (2023)
by: Hihat, Massil, et al.
Published: (2023)
Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
by: Sahinoglu, Emre, et al.
Published: (2024)
by: Sahinoglu, Emre, et al.
Published: (2024)
A Library of Mirrors: Deep Neural Nets in Low Dimensions are Convex Lasso Models with Reflection Features
by: Zeger, Emi, et al.
Published: (2024)
by: Zeger, Emi, et al.
Published: (2024)
Langevin Dynamics: A Unified Perspective on Optimization via Lyapunov Potentials
by: Chen, August Y., et al.
Published: (2024)
by: Chen, August Y., et al.
Published: (2024)
Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity
by: Kong, Boao, et al.
Published: (2024)
by: Kong, Boao, et al.
Published: (2024)
Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance
by: Chen, Lisha, et al.
Published: (2025)
by: Chen, Lisha, et al.
Published: (2025)
Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees
by: de Vazelhes, William, et al.
Published: (2025)
by: de Vazelhes, William, et al.
Published: (2025)
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
by: Jiang, Wei, et al.
Published: (2024)
by: Jiang, Wei, et al.
Published: (2024)
Sparse Hyperparametric Itakura-Saito Nonnegative Matrix Factorization via Bi-Level Optimization
by: Selicato, Laura, et al.
Published: (2025)
by: Selicato, Laura, et al.
Published: (2025)
Preferential Multi-Objective Bayesian Optimization
by: Astudillo, Raul, et al.
Published: (2024)
by: Astudillo, Raul, et al.
Published: (2024)
Assessing and Enhancing Graph Neural Networks for Combinatorial Optimization: Novel Approaches and Application in Maximum Independent Set Problems
by: Hu, Chenchuhui
Published: (2024)
by: Hu, Chenchuhui
Published: (2024)
Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm
by: Yao, Wei, et al.
Published: (2024)
by: Yao, Wei, et al.
Published: (2024)
Penalty-Based First-Order Methods for Bilevel Optimization with Minimax and Constrained Lower-Level Problems
by: Shen, Yiyang, et al.
Published: (2026)
by: Shen, Yiyang, et al.
Published: (2026)
Global and Preference-based Optimization with Mixed Variables using Piecewise Affine Surrogates
by: Zhu, Mengjia, et al.
Published: (2023)
by: Zhu, Mengjia, et al.
Published: (2023)
PolarGrad: A Class of Matrix-Gradient Optimizers from a Unifying Preconditioning Perspective
by: Lau, Tim Tsz-Kit, et al.
Published: (2025)
by: Lau, Tim Tsz-Kit, et al.
Published: (2025)
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy
by: Liu, Risheng, et al.
Published: (2024)
by: Liu, Risheng, et al.
Published: (2024)
Online Convex Optimization with Unbounded Memory
by: Kumar, Raunak, et al.
Published: (2022)
by: Kumar, Raunak, et al.
Published: (2022)
Similar Items
-
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
by: Mishkin, Aaron, et al.
Published: (2024) -
Faster Convergence of Stochastic Accelerated Gradient Descent under Interpolation
by: Mishkin, Aaron, et al.
Published: (2024) -
Step-Size Stability in Stochastic Optimization: A Theoretical Perspective
by: Schaipp, Fabian, et al.
Published: (2026) -
Glocal Smoothness: Line search and adaptive step sizes can help in theory too!
by: Fox, Curtis, et al.
Published: (2025) -
SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms
by: Abdukhakimov, Farshed, et al.
Published: (2023)