conftrace_

linear convergence

158 papers

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Co-occurring keywords

convex optimization (1321) gradient descent (1144) stochastic optimization (1060) variance reduction (523) stochastic gradient (296) stochastic gradient descent (1091) strong convexity (59) frank-wolfe algorithm (107) coordinate descent (147) support vector machine (978)

Papers

Meta Learning in the Continuous Time Limit AISTATS 2021
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth ICML 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients NIPS 2021
Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding AAAI 2021
Implicit Regularization and Convergence for Weight Normalization NIPS 2020
Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis JMLR 2020
Apprenticeship Learning via Frank-Wolfe AAAI 2020
SVRG for Policy Evaluation with Fewer Gradient Evaluations IJCAI 2020
Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization NIPS 2020
Improved Algorithms for Convex-Concave Minimax Optimization NIPS 2020
Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity NIPS 2020
Random extrapolation for primal-dual coordinate descent ICML 2020
A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace UAI 2020
Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models AISTATS 2020
Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence ICML 2020
Linear Convergence of Adaptive Stochastic Gradient Descent AISTATS 2020
Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming ICML 2020
An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning AAAI 2020
Tensor Completion Made Practical NIPS 2020
Self-Concordant Analysis of Frank-Wolfe Algorithms ICML 2020
A unified variance-reduced accelerated gradient method for convex optimization NIPS 2019
A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent ICML 2019
Blended Conditonal Gradients ICML 2019
Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances ICML 2019
Towards Practical Alternating Least-Squares for CCA NIPS 2019