conftrace_

convergence rate

607 papers

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Co-occurring keywords

stochastic gradient descent (1091) convex optimization (1321) stochastic optimization (1060) gradient descent (1144) convergence analysis (395) non-convex optimization (547) nonconvex optimization (316) variance reduction (523) stochastic gradient (296) learning theory (519)

Papers

Continuous-time Analysis of Anchor Acceleration NIPS 2023
Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations ICML 2023
Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity ICML 2023
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction ICML 2023
Coordinating Distributed Example Orders for Provably Accelerated Training NIPS 2023
Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization AISTATS 2023
A Case of Exponential Convergence Rates for SVM AISTATS 2023
Coordinate Descent Methods for Fractional Minimization ICML 2023
High Probability Bounds for Stochastic Continuous Submodular Maximization AISTATS 2023
Demystifying Softmax Gating Function in Gaussian Mixture of Experts NIPS 2023
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods NIPS 2023
On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data CVPR 2023
Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima NIPS 2023
Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels NIPS 2023
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data AISTATS 2023
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance ICML 2023
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks NIPS 2023
Asymptotic Study of Stochastic Adaptive Algorithms in Non-convex Landscape JMLR 2022
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization ICML 2022
On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction AISTATS 2022
Correlated Quantization for Distributed Mean Estimation and Optimization ICML 2022
Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding ICML 2022
Revisit last-iterate convergence of mSGD under milder requirement on step size NIPS 2022
Convergence Rates for Gaussian Mixtures of Experts JMLR 2022
When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint JMLR 2022