The following pages link to Wotao Yin (Q256033):
Displaying 18 items.
- An Iterative Regularization Method for Total Variation-Based Image Restoration (Q5695938) (← links)
- Sparse Signal Reconstruction via Iterative Support Detection (Q5747679) (← links)
- Communication-Adaptive Stochastic Gradient Methods for Distributed Learning (Q5868715) (← links)
- Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization (Q5868746) (← links)
- From the simplex to the sphere: faster constrained optimization using the Hadamard parametrization (Q6164739) (← links)
- TMAC: A Toolbox of Modern Async-Parallel, Coordinate, Splitting, and Stochastic Methods (Q6274633) (← links)
- A New Use of Douglas-Rachford Splitting and ADMM for Identifying Infeasible, Unbounded, and Pathological Conic Programs (Q6287627) (← links)
- An Envelope for Davis-Yin Splitting and Strict Saddle Point Avoidance (Q6300709) (← links)
- Scaled Relative Graph: Nonexpansive operators via 2D Euclidean Geometry (Q6314637) (← links)
- Acceleration of SVRG and Katyusha X by Inexact Preconditioning (Q6319248) (← links)
- An Improved Analysis of Stochastic Gradient Descent with Momentum (Q6345192) (← links)
- A One-bit, Comparison-Based Gradient Estimator (Q6350613) (← links)
- Decomposition methods for global solution of mixed-integer linear programs (Q6490313) (← links)
- Efficient Algorithms for Sum-of-Minimum Optimization (Q6521271) (← links)
- Learning to optimize: a tutorial for continuous and mixed-integer optimization (Q6564763) (← links)
- Three-operator splitting for learning to predict equilibria in convex games (Q6583713) (← links)
- FedPD: a federated learning framework with adaptivity to non-IID data (Q6600168) (← links)
- Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares (Q6730038) (← links)
