GConferenceGridThe Conference Catalogue · Vol. 2026Folio № 591F53
Of the Field

FoCM 2026

T

he Foundations of Data Science and Machine Learning workshop (FoCM 2026) focuses on algorithms that enable computers to learn based on data, with particular emphasis on recognizing complex patterns and making intelligent, data-driven decisions. Closely tied to statistics, probability theory, data mining, pattern recognition, artificial intelligence, adaptiv…

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19Voices
0Underwriters
0Exhibitors
0On the bill · sessions
18Companies · in total
§I

The Voices

Programmed at FoCM, in alphabetical order.
Amir Yejudayoff
Technion
Andrea Montanari
Stanford University
Daniel Bartl
NUS
Felix Krahmer
TUM
Felix Voigtlaender
KU Eichstätt
Francis Bach
INRIA
Gabor Lugosi
University Pompeu Fabra
Holger Rauhut
LMU
Jelani Nelson
University Berkeley
Jeremias Sulan
JHU
Joan Bruna
NYU
Joseph Lehec
Universite de Poitiers
Mario Ullrich
JKU Linz
Misa Belkin
UCSD
Mitchell Taylor
ETH Zuerich
Philipp Petersen
University of Vienna
Sasha Rakhlin
MIT
Soledad Villar
JHU
Thomas Strohmer
UCD
Intermission
Part the Second · For the Buyer

An audience of 18 companies, parsed from the program.

“Eighteen companies in attendance.”

The numbers below are derived from the speakers, sponsors, and exhibitors on this page — cross-referenced into one ledger. They are the only thing here that 10times.com cannot tell you.

№ 01Fig. 01 — Composition of the House
0All threespeak · spons · exh
0Sponsoringsponsor only
0Exhibitingexhibitor only
18Speakingspeaker only
№ 02Fig. 02 — The Voices, by Seniority
  • Other roles19100%

Of 19 on the bill · classified by free-text title

№ 03Fig. 03 — The Heaviest in the Room
  1. 01JHU2V
  2. 02ETH Zuerich1V
  3. 03INRIA1V
  4. 04JKU Linz1V
  5. 05KU Eichstätt1V
  6. 06LMU1V
  7. 07MIT1V
  8. 08NUS1V
  9. 09NYU1V
  10. 10Stanford University1V
  11. 11Technion1V
  12. 12TUM1V
  13. 13UCD1V
  14. 14UCSD1V
№ 04Fig. 04 — By Tier

Tiers were not disclosed for this convocation.