Liabilities / Assets
14th percentile
Tied with the lowest-debt nonprofits in its peer group.
990 • Fiscal year 2018 • EIN 82-3511606
Precomputed percentiles for this filing year versus similar nonprofits in the same peer cohort.
Liabilities / Assets
14th percentile
Tied with the lowest-debt nonprofits in its peer group.
Liabilities / Revenue
14th percentile
Tied with the lowest-debt nonprofits in its peer group.
Net Margin
85th percentile
Higher net margin than 85% of similar nonprofits.
Top Officer Pay
Score unavailable
This filing does not contain officer compensation rows.
Asset Growth
Score unavailable
No earlier valid filing was available within the previous three public years.
Revenue Growth
Score unavailable
No earlier valid filing was available within the previous three public years.
Assets
$1,393,904
No earlier filing loaded for comparison.
Net Assets
$1,393,904
No earlier filing loaded for comparison.
Liabilities
$0
No earlier filing loaded for comparison.
Revenue
$4,261,207
No earlier filing loaded for comparison.
Expenses
$2,867,303
No earlier filing loaded for comparison.
Net Income
$1,393,904
No earlier filing loaded for comparison.
This 2018 filing currently has summary financial data only. Detailed schedules, leadership, and program rows are not available for this filing yet.
The international conference on machine learning (icml) is the gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. Icml is globally recognized for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. Participants at icml span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.
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Displayed year
2018 • Form 990Summary only. Only limited summary data is available for this year.