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researcher

W. James Murdoch

UC Berkeley

7 papers hereh-index 62.5k citations9 works total

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

author position
  • first author4
  • middle author3

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

fields
  • cs.CL2
  • cs.LG2
  • stat.ML2
  • stat.CO1
affiliations
  • UC Berkeley
Homepage

identity via Semantic Scholar / OpenAlex

activity
20142019
most citedInterpretable machine learning: definitions, methods, and applications

2.2k citations · 2.6k across the 7 of their papers we have counts for

collaborators
Showing 2019 · stat.MLShow all

2 papers · 2 filters

stat.ML2019★ 11 cited

Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees

Summer Devlin, Chandan Singh, W. James Murdoch +1

Tree ensembles, such as random forests and AdaBoost, are ubiquitous machine learning models known for achieving strong predictive performance across a wide variety of domains. Howe…

stat.ML2019★ 2.2k cited

Interpretable machine learning: definitions, methods, and applications

W. James Murdoch, Chandan Singh, Karl Kumbier +2

Machine-learning models have demonstrated great success in learning complex patterns that enable them to make predictions about unobserved data. In addition to using models for pre…

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