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08/01/2023
On greedy multi-step inertial randomized Kaczmarz method for solving linear systems
Recently, the multi-step inertial randomized Kaczmarz (MIRK) method for ...
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07/31/2023
Fast stochastic dual coordinate descent algorithms for linearly constrained convex optimization
The problem of finding a solution to the linear system Ax = b with certa...
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07/05/2023
The linear convergence of the greedy randomized Kaczmarz method is deterministic
To improve the convergence property of the randomized Kaczmarz (RK) meth...
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12/31/2022
Randomized Kaczmarz method with adaptive stepsizes for inconsistent linear systems
We investigate the randomized Kaczmarz method that adaptively updates th...
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04/17/2020
DynamicEmbedding: Extending TensorFlow for Colossal-Scale Applications
One of the limitations of deep learning models with sparse features toda...
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01/10/2019
Context Aware Machine Learning
We propose a principle for exploring context in machine learning models....
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05/14/2018