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Abbas Mehrabian

24 papers hereh-index 161.5k citations42 works total

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

author position
  • sole author5
  • first author3
  • middle author10
  • last author6

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • math.CO4
  • math.PR3
  • math.ST3
  • cs.DC2
  • cs.DM2
same name
  • Abbas Mehrabian — 4 papers, h 5
  • Abbas Mehrabian — 3 papers, h 2
  • Abbas Mehrabian — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102019
most citedNearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks

196 citations · 319 across the 19 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

math.ST2018

The total variation distance between high-dimensional Gaussians with the same mean

Luc Devroye, Abbas Mehrabian, Tommy Reddad

Given two high-dimensional Gaussians with the same mean, we prove a lower and an upper bound for their total variation distance, which are within a constant factor of one another.

cs.LG2018

Multiplayer bandits without observing collision information

Gabor Lugosi, Abbas Mehrabian

We study multiplayer stochastic multi-armed bandit problems in which the players cannot communicate and if two or more players pull the same arm, a collision occurs and the involve…

math.ST2018★ 1 cited

The Minimax Learning Rates of Normal and Ising Undirected Graphical Models

Luc Devroye, Abbas Mehrabian, Tommy Reddad

Let G be an undirected graph with m edges and d vertices. We show that d-dimensional Ising models on G can be learned from n i.i.d. samples within expected total variat…

math.ST2018★ 1 cited

Some techniques in density estimation

Hassan Ashtiani, Abbas Mehrabian

Density estimation is an interdisciplinary topic at the intersection of statistics, theoretical computer science and machine learning. We review some old and new techniques for bou…

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