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UID:20250811T190007EDT-0404pNbWLC@132.216.98.100
DTSTAMP:20250811T230007Z
DESCRIPTION:\n	Density estimation of mixtures of Gaussians and Ising models
 \n\n	Abstract:\n\n\nDensity estimation lies at the intersection of statisti
 cs\, theoretical computer science\, and machine learning. We review some o
 ld and new results on the sample complexities (also known as minimax conve
 rgence rates) of estimating densities of high-dimensional distributions\, 
 in particular mixtures of Gaussians and Ising models.\n\nBased on joint wo
 rk with Hassan Ashtiani\, Shai Ben-David\, Luc Devroye\, Nick Harvey\, Chr
 istopher Liaw\, Yani Plan\, and Tommy Reddad.\n\n\n	Speaker\n\n\nAbbas Mehr
 abian is an IVADO-Apogée-CFREF Fellow at 9IÖÆ×÷³§Ãâ·Ñ working with Lu
 c Devroye and Louigi Addario-Berry. His research focuses on statistics and
  machine learning theory\, e.g.\, bandit algorithms\, density estimation\,
  online learning\, randomized algorithms and probabilistic analysis of alg
 orithms\n
DTSTART:20181109T203000Z
DTEND:20181109T213000Z
LOCATION:Room 1104\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Abbas Mehrabian 
URL:/mathstat/channels/event/abbas-mehrabian-291463
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