Pages that link to "Item:Q5058389"
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The following pages link to Quasi-Newton methods for machine learning: forget the past, just sample (Q5058389):
Displaying 9 items.
- A robust multi-batch L-BFGS method for machine learning (Q4972551) (← links)
- Quasi-Newton methods for machine learning: forget the past, just sample (Q5058389) (← links)
- Trust-region algorithms for training responses: machine learning methods using indefinite Hessian approximations (Q5113710) (← links)
- Towards explicit superlinear convergence rate for SR1 (Q6038671) (← links)
- An overview of stochastic quasi-Newton methods for large-scale machine learning (Q6097379) (← links)
- Globally Convergent Multilevel Training of Deep Residual Networks (Q6108152) (← links)
- A structured L-BFGS method and its application to inverse problems (Q6557640) (← links)
- A non-monotone trust-region method with noisy oracles and additional sampling (Q6606856) (← links)
- On the inversion-free Newton's method and its applications (Q6612368) (← links)