conftrace_

exponential convergence

28 papers

Explore in graph

Co-occurring keywords

stochastic gradient descent (1091) convergence rate (607) low-noise condition (2) ordinary differential equation (139) classification error (38) optimal transport (948) principal component analysis (316) convex optimization (1321) binary classification (678) stochastic gradient (296)

Papers

On the Exponential Convergence for Offline RLHF with Pairwise Comparisons AAAI 2026
Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence AAAI 2025
Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals JMLR 2025
Wasserstein Proximal Coordinate Gradient Algorithms JMLR 2024
Convergence of Kinetic Langevin Monte Carlo on Lie groups COLT 2024
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning NIPS 2024
Optimal Exploration is no harder than Thompson Sampling AISTATS 2024
Towards model-free LQR control over rate-limited channels L4DC 2024
On the Convergence of Gradient Flow on Multi-layer Linear Models ICML 2023
A Case of Exponential Convergence Rates for SVM AISTATS 2023
A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows AISTATS 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs ICML 2022
Multiclass learning with margin: exponential rates with no bias-variance trade-off ICML 2022
Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features AISTATS 2021
Disambiguation of Weak Supervision leading to Exponential Convergence rates ICML 2021
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights NIPS 2021
Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization AISTATS 2019
Stochastic Gradient Descent with Exponential Convergence Rates of Expected Classification Errors AISTATS 2019
Exponentially convergent stochastic k-PCA without variance reduction NIPS 2019
An explicit analysis of the entropic penalty in linear programming COLT 2018
Fast Gradient-Based Methods with Exponential Rate: A Hybrid Control Framework ICML 2018
Exponential Convergence of Testing Error for Stochastic Gradient Methods COLT 2018
Bootstrapping EM via Power EM and Convergence in the Naive Bayes Model AISTATS 2018
Recovery guarantee of weighted low-rank approximation via alternating minimization ICML 2016
A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate ICML 2015