Pages that link to "Item:Q5037555"
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The following pages link to Stochastic Gradients for Large-Scale Tensor Decomposition (Q5037555):
Displaying 9 items.
- Inertial accelerated SGD algorithms for solving large-scale lower-rank tensor CP decomposition problems (Q2112682) (← links)
- Parallel stochastic gradient algorithms for large-scale matrix completion (Q2392935) (← links)
- Exploiting Efficient Representations in Large-Scale Tensor Decompositions (Q4631411) (← links)
- Performance of the Low-Rank TT-SVD for Large Dense Tensors on Modern MultiCore CPUs (Q5095475) (← links)
- Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition (Q5099421) (← links)
- An AO-ADMM Approach to Constraining PARAFAC2 on All Modes (Q5868552) (← links)
- A block-randomized stochastic method with importance sampling for CP tensor decomposition (Q6126539) (← links)
- Accelerated doubly stochastic gradient descent for tensor CP decomposition (Q6161551) (← links)
- Provable stochastic algorithm for large-scale fully-connected tensor network decomposition (Q6184280) (← links)