From Sublinear to Linear: Local Convergence in Finite-Width Networks via Locally Polyak-Lojasiewicz Regions
Fuente:
arXiv
Saved in:
| Main Authors: | Aich, Agnideep, Aich, Ashit Baran, Wade, Bruce |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Copula Discrepancy: Benchmarking Dependence Structure
by: Aich, Agnideep, et al.
Published: (2025)
by: Aich, Agnideep, et al.
Published: (2025)
Deep Copula Classifier: Theory, Consistency, and Empirical Evaluation
by: Aich, Agnideep, et al.
Published: (2025)
by: Aich, Agnideep, et al.
Published: (2025)
Copula-Stein Discrepancy: A Generator-Based Stein Operator for Archimedean Dependence
by: Aich, Agnideep, et al.
Published: (2025)
by: Aich, Agnideep, et al.
Published: (2025)
Symplectic Generative Networks (SGNs): A Hamiltonian Framework for Invertible Deep Generative Modeling
by: Aich, Agnideep, et al.
Published: (2025)
by: Aich, Agnideep, et al.
Published: (2025)
Temporal Conformal Prediction (TCP): A Distribution-Free Statistical and Machine Learning Framework for Adaptive Risk Forecasting
by: Aich, Agnideep, et al.
Published: (2025)
by: Aich, Agnideep, et al.
Published: (2025)
Bag of Coins: A Statistical Probe into Neural Confidence Structures
by: Aich, Agnideep, et al.
Published: (2025)
by: Aich, Agnideep, et al.
Published: (2025)
IGNIS: A Robust Neural Network Framework for Constrained Parameter Estimation in Archimedean Copulas
by: Aich, Agnideep
Published: (2025)
by: Aich, Agnideep
Published: (2025)
The Minimax Lower Bound of Kernel Stein Discrepancy Estimation
by: Cribeiro-Ramallo, Jose, et al.
Published: (2025)
by: Cribeiro-Ramallo, Jose, et al.
Published: (2025)
Bayesian Inference for Joint Tail Risk in Paired Biomarkers via Archimedean Copulas with Restricted Jeffreys Priors
by: Aich, Agnideep, et al.
Published: (2026)
by: Aich, Agnideep, et al.
Published: (2026)
A2 Copula-Driven Spatial Bayesian Neural Network For Modeling Non-Gaussian Dependence: A Simulation Study
by: Aich, Agnideep, et al.
Published: (2025)
by: Aich, Agnideep, et al.
Published: (2025)
Copula Based Fusion of Clinical and Genomic Machine Learning Risk Scores for Breast Cancer Risk Stratification
by: Aich, Agnideep, et al.
Published: (2025)
by: Aich, Agnideep, et al.
Published: (2025)
A Copula Based Supervised Filter for Feature Selection in Diabetes Risk Prediction Using Machine Learning
by: Aich, Agnideep, et al.
Published: (2025)
by: Aich, Agnideep, et al.
Published: (2025)
A Local Polyak-Lojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models
by: Xu, Ziqing, et al.
Published: (2025)
by: Xu, Ziqing, et al.
Published: (2025)
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks
by: Wang, Ruigang, et al.
Published: (2024)
by: Wang, Ruigang, et al.
Published: (2024)
Polyak's Heavy Ball Method Achieves Accelerated Local Rate of Convergence under Polyak-Lojasiewicz Inequality
by: Kassing, Sebastian, et al.
Published: (2024)
by: Kassing, Sebastian, et al.
Published: (2024)
On the Complexity of Finite-Sum Smooth Optimization under the Polyak-Łojasiewicz Condition
by: Bai, Yunyan, et al.
Published: (2024)
by: Bai, Yunyan, et al.
Published: (2024)
Poincaré Inequality for Local Log-Polyak-Lojasiewicz Measures : Non-asymptotic Analysis in Low-temperature Regime
by: Gong, Yun, et al.
Published: (2025)
by: Gong, Yun, et al.
Published: (2025)
On the Convergence of the Gradient Descent Method with Stochastic Fixed-point Rounding Errors under the Polyak-Lojasiewicz Inequality
by: Xia, Lu, et al.
Published: (2023)
by: Xia, Lu, et al.
Published: (2023)
Faster Stochastic Algorithms for Minimax Optimization under Polyak--Łojasiewicz Conditions
by: Chen, Lesi, et al.
Published: (2023)
by: Chen, Lesi, et al.
Published: (2023)
High-Probability Bounds for SGD under the Polyak-Lojasiewicz Condition with Markovian Noise
by: Kar, Avik, et al.
Published: (2026)
by: Kar, Avik, et al.
Published: (2026)
LatentGAN Autoencoder: Learning Disentangled Latent Distribution
by: Kalwar, Sanket, et al.
Published: (2022)
by: Kalwar, Sanket, et al.
Published: (2022)
On the Local Complexity of Linear Regions in Deep ReLU Networks
by: Patel, Niket, et al.
Published: (2024)
by: Patel, Niket, et al.
Published: (2024)
Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
by: Benton, Joe, et al.
Published: (2023)
by: Benton, Joe, et al.
Published: (2023)
Generating realistic global precipitation fields from modelled atmospheric circulation
by: Aich, Michael, et al.
Published: (2025)
by: Aich, Michael, et al.
Published: (2025)
Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning
by: Hess, Philipp, et al.
Published: (2024)
by: Hess, Philipp, et al.
Published: (2024)
Local Linear Convergence of Infeasible Optimization with Orthogonal Constraints
by: Sun, Youbang, et al.
Published: (2024)
by: Sun, Youbang, et al.
Published: (2024)
Local Urysohn Width: A Topological Complexity Measure for Classification
by: Li, Xin
Published: (2026)
by: Li, Xin
Published: (2026)
Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance
by: Oikonomou, Dimitris, et al.
Published: (2024)
by: Oikonomou, Dimitris, et al.
Published: (2024)
Robust Sublinear Convergence Rates for Iterative Bregman Projections
by: Peyré, Gabriel
Published: (2026)
by: Peyré, Gabriel
Published: (2026)
AdURA-Net: Adaptive Uncertainty and Region-Aware Network
by: Roy, Antik Aich, et al.
Published: (2026)
by: Roy, Antik Aich, et al.
Published: (2026)
Adaptive SGD with Line-Search and Polyak Stepsizes: Nonconvex Convergence and Accelerated Rates
by: Wu, Haotian
Published: (2025)
by: Wu, Haotian
Published: (2025)
Generating time-consistent dynamics with discriminator-guided image diffusion models
by: Hess, Philipp, et al.
Published: (2025)
by: Hess, Philipp, et al.
Published: (2025)
LocalKMeans: Convergence of Lloyd's Algorithm with Distributed Local Iterations
by: Vardhan, Harsh, et al.
Published: (2025)
by: Vardhan, Harsh, et al.
Published: (2025)
Portrayal of human relationship and understanding within Persian ambience: A Study of Gieve Patel's selected plays
by: Souvik Aich
Published: (2017)
by: Souvik Aich
Published: (2017)
An Acquaintance with an Indologist cum Litterateur Sukumari Bhattacharya: Her Creative Works and Philosophy
by: Souvik Aich
Published: (2018)
by: Souvik Aich
Published: (2018)
Measurement of Soil Radon activity in Bakreswar-Tantloi region
by: Aich, Arkajit
Published: (2021)
by: Aich, Arkajit
Published: (2021)
Revisiting Matrix Sketching in Linear Bandits: Achieving Sublinear Regret via Dyadic Block Sketching
by: Wen, Dongxie, et al.
Published: (2024)
by: Wen, Dongxie, et al.
Published: (2024)
Network Degeneracy as an Indicator of Training Performance: Comparing Finite and Infinite Width Angle Predictions
by: Jakub, Cameron, et al.
Published: (2023)
by: Jakub, Cameron, et al.
Published: (2023)
Further Understanding of a Local Gaussian Process Approximation: Characterising Convergence in the Finite Regime
by: Stephenson, Anthony, et al.
Published: (2024)
by: Stephenson, Anthony, et al.
Published: (2024)
Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation
by: Ishikawa, Satoki, et al.
Published: (2024)
by: Ishikawa, Satoki, et al.
Published: (2024)
Similar Items
-
Copula Discrepancy: Benchmarking Dependence Structure
by: Aich, Agnideep, et al.
Published: (2025) -
Deep Copula Classifier: Theory, Consistency, and Empirical Evaluation
by: Aich, Agnideep, et al.
Published: (2025) -
Copula-Stein Discrepancy: A Generator-Based Stein Operator for Archimedean Dependence
by: Aich, Agnideep, et al.
Published: (2025) -
Symplectic Generative Networks (SGNs): A Hamiltonian Framework for Invertible Deep Generative Modeling
by: Aich, Agnideep, et al.
Published: (2025) -
Temporal Conformal Prediction (TCP): A Distribution-Free Statistical and Machine Learning Framework for Adaptive Risk Forecasting
by: Aich, Agnideep, et al.
Published: (2025)