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researcher

Sambit Panda

7 papers hereh-index 7111 citations20 works total

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

author position
  • first author2
  • middle author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • stat.ML3
  • cs.LG2
  • stat.CO1
  • stat.ME1

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedThe Chi-Square Test of Distance Correlation

89 citations · 124 across the 7 of their papers we have counts for

collaborators
Showing 2021 · cs.LGShow all

2 papers · 2 filters

cs.LG2021

Extremely Simple Streaming Forest

Haoyin Xu, Jayanta Dey, Sambit Panda +1

Decision forests, including random forests and gradient boosting trees, remain the leading machine learning methods for many real-world data problems, especially on tabular data. H…

cs.LG2021★ 13 cited

When are Deep Networks really better than Decision Forests at small sample sizes, and how?

Haoyin Xu, Kaleab A. Kinfu, Will LeVine +9

Deep networks and decision forests (such as random forests and gradient boosted trees) are the leading machine learning methods for structured and tabular data, respectively. Many…

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