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Adepu Ravi Sankar

5 papers hereh-index 6133 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • stat.ML2

identity via Semantic Scholar / OpenAlex

activity
20172020
most citedADINE: An Adaptive Momentum Method for Stochastic Gradient Descent

2 citations · 3 across the 2 of their papers we have counts for

collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2017★ 2 cited

ADINE: An Adaptive Momentum Method for Stochastic Gradient Descent

Vishwak Srinivasan, Adepu Ravi Sankar, Vineeth N Balasubramanian

Two major momentum-based techniques that have achieved tremendous success in optimization are Polyak's heavy ball method and Nesterov's accelerated gradient. A crucial step in all…

stat.ML2017★ 1 cited

Are Saddles Good Enough for Deep Learning?

Adepu Ravi Sankar, Vineeth N Balasubramanian

Recent years have seen a growing interest in understanding deep neural networks from an optimization perspective. It is understood now that converging to low-cost local minima is s…

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