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KAUST CEMSE CS AMCS STAT ECRC VCC Peter Richtarik Photo

Peter Richtarik

Professor, Computer Science
  • AMCS
  • CS
  • CEMSE
  • ECRC
  • AI
  • OML
  • STAT
  • VCC
  • optimization
  • machine learning
  • Big Data
Professors
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Samuel Horváth

PhD Student, Statistics
  • CEMSE
  • OML
  • STAT
  • VCC
  • machine learning
  • optimization
  • statistics
Alumni
KAUST CEMSE AMCS STAT Graduate Seminar Xin Gao Quantitative understanding of transcription factor
Quantitative understanding of transcription factor regulation at network- and molecular-levels through optimization and deep learning
Xin Gao
Thursday, April 16, 12:00
- 13:00
https://kaust.zoom.us/j/706745599
  • AMCS
  • CBRC
  • CEMSE
  • STAT
  • transcription factor
  • optimization
  • Deep learning
Graduate Seminar
KAUST CEMSE AMCS Graduate Seminar Joakim Beck
Estimating the expected information gain in Bayesian optimal experimental design
Thursday, May 02, 12:00
- 13:00
B9 L2 Hall 1
  • AMCS
  • CEMSE
  • STOCHNUM
  • optimization
  • DLMC
  • DLMCIS
Graduate Seminar
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KAUST CEMSE CS AMCS STAT VCC ECRC P RICHTARIK Peter Richtarik
KAUST Professor Peter Richtárik wins Distinguished Speaker Award
4 years ago
  • CEMSE
  • AMCS
  • CS
  • OML
  • STAT
  • VCC
  • ECRC
  • optimization
  • machine learning
  • Big Data
Image
Accelerating-the-grapevine-effect-Richtarik-KAUST
Accelerating the grapevine effect
4 years 2 months ago
  • CS
  • VCC
  • AMCS
  • CEMSE
  • STAT
  • ECRC
  • OML
  • optimization
  • machine learning
  • Big Data
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KAUST CEMSE ECRC powering the bottom line
Powering the bottom line
5 years 5 months ago
  • CEMSE
  • ECRC
  • SRI
  • STAT
  • AMCS
  • ErSE
  • MarS
  • energy
  • chemical science
  • optimization

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