conftrace_

learning rate

192 papers

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Also known as

LR

Co-occurring keywords

stochastic gradient descent (1091) neural network optimization (1293) gradient descent (1144) convergence rate (607) convergence analysis (395) stochastic optimization (1060) online learning (1777) kernel methods (1097) neural network (6616) regret bound (1926)

Papers

How to Scale Your EMA NIPS 2023
On the Dynamics Under the Unhinged Loss and Beyond JMLR 2023
FedL2P: Federated Learning to Personalize NIPS 2023
Improving Multi-Fidelity Optimization With a Recurring Learning Rate for Hyperparameter Tuning WACV 2023
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training NIPS 2023
Mechanic: A Learning Rate Tuner NIPS 2023
Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions COLT 2023
Universal Rates for Interactive Learning NIPS 2022
Beyond spectral gap: the role of the topology in decentralized learning NIPS 2022
Improved Classification Rates for Localized SVMs JMLR 2022
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points ICML 2022
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness ICML 2022
On Non-local Convergence Analysis of Deep Linear Networks ICML 2022
Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay NIPS 2022
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes NIPS 2022
Exploiting Explainable Metrics for Augmented SGD CVPR 2022
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation NIPS 2022
Optimal Rates for Regularized Conditional Mean Embedding Learning NIPS 2022
Sobolev Norm Learning Rates for Conditional Mean Embeddings AISTATS 2022
Nuances in Margin Conditions Determine Gains in Active Learning AISTATS 2022
Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting AAAI 2022
Sharp Analysis of Random Fourier Features in Classification AAAI 2022
Surprising Instabilities in Training Deep Networks and a Theoretical Analysis NIPS 2022
Nystrom Regularization for Time Series Forecasting JMLR 2022
Statistical Rates of Convergence for Functional Partially Linear Support Vector Machines for Classification JMLR 2022