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Dibyakanti Kumar

5 papers hereh-index 15 citations4 works total

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

author position
  • first author2
  • middle author3

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

fields
  • cs.LG5

identity via Semantic Scholar / OpenAlex

activity
20222026
collaborators
Showing 2025Show all

1 paper · 1 filter

cs.LG2025

Langevin Monte-Carlo Provably Learns Depth Two Neural Nets at Any Size and Data

Dibyakanti Kumar, Samyak Jha, Anirbit Mukherjee

In this note we prove that the Langevin Monte Carlo (LMC) algorithm can minimize the population risk of appropriately regularized depth-2 nets with no restrictions on the size of t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.