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--- research:largescale [2012/12/24 11:56]
leonb [See also]
+++ research:largescale [2013/02/25 09:54]
leonb [Tutorials]
@@ Line 70: / Line 70: @@
 complexity of the underlying optimization
 algorithms in non-trivial ways.
+For instance, [[:research:stochastic|Stochastic Gradient Descent (SGD)]] algorithms
+appear to be mediocre optimization algorithms and yet are shown to
+[[:projects/sgd|perform extremely well]] on large-scale learning problems.
-For instance, [[:research:stochastic|Stochastic Gradient Descent (SGD)]] algorithms
-appear to be mediocre optimization algorithms
-and yet are shown to perform extremely well on large-scale learning problems.
@@ Line 81: / Line 80: @@
   * NIPS 2007 tutorial "[[:talks/largescale|Large Scale Learning]]".
+===== Related =====
+  * [[:research:stochastic|Stochastic gradient]] algorithms for large scale learning.
 ===== Papers =====