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PRODID:researchseminars.org
CALSCALE:GREGORIAN
X-WR-CALNAME:researchseminars.org
BEGIN:VEVENT
SUMMARY:Darinka Dentcheva (Stevens Institute of Technology)
DTSTART:20210208T160000Z
DTEND:20210208T164500Z
DTSTAMP:20260404T042038Z
UID:BIRS_21w5167/1
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/BIRS_
 21w5167/1/">Subregular Recourse in Multistage Stochastic Optimization</a>\
 nby Darinka Dentcheva (Stevens Institute of Technology) as part of BIRS wo
 rkshop: Optimization under Uncertainty: Learning and Decision Making\n\n\n
 Abstract\nWe discuss nonlinear multistage stochastic optimization problems
  in the spaces of integrable functions. The problems may include nonlinear
  dynamics and general objective functionals with dynamic risk measures as 
 a particular case. We present analysis about the causal operators describi
 ng the dynamics of the system and the Clarke subdifferential for a penalty
  function involving such operators. We introduce concept of a subregular r
 ecourse in nonlinear multistage stochastic optimization and establish subr
 egularity of the resulting systems in two formulations: with built-in nona
 nticipativity and with explicit nonanticipativity constraints. Optimality 
 conditions for both formulations and their relations will be presented. Th
 is is a joint work with Andrzej Ruszczynski\, Rutgers University.\n
LOCATION:https://stable.researchseminars.org/talk/BIRS_21w5167/1/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Guzin Bayraksan (Ohio State University)
DTSTART:20210208T170000Z
DTEND:20210208T174500Z
DTSTAMP:20260404T042038Z
UID:BIRS_21w5167/2
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/BIRS_
 21w5167/2/">Data-driven sample average approximation with covariate inform
 ation</a>\nby Guzin Bayraksan (Ohio State University) as part of BIRS work
 shop: Optimization under Uncertainty: Learning and Decision Making\n\nAbst
 ract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/BIRS_21w5167/2/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Drew Kouri (Sandia National Laboratories)
DTSTART:20210208T180000Z
DTEND:20210208T184500Z
DTSTAMP:20260404T042038Z
UID:BIRS_21w5167/3
DESCRIPTION:by Drew Kouri (Sandia National Laboratories) as part of BIRS w
 orkshop: Optimization under Uncertainty: Learning and Decision Making\n\nA
 bstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/BIRS_21w5167/3/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Youssef Marzouk (Massachusetts Institute of Technology)
DTSTART:20210208T190000Z
DTEND:20210208T194500Z
DTSTAMP:20260404T042038Z
UID:BIRS_21w5167/4
DESCRIPTION:by Youssef Marzouk (Massachusetts Institute of Technology) as 
 part of BIRS workshop: Optimization under Uncertainty: Learning and Decisi
 on Making\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/BIRS_21w5167/4/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Georg Stadler (New York University)
DTSTART:20210209T160000Z
DTEND:20210209T164500Z
DTSTAMP:20260404T042038Z
UID:BIRS_21w5167/5
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/BIRS_
 21w5167/5/">Optimal control of PDEs under uncertainty with joint chance st
 ate constraints</a>\nby Georg Stadler (New York University) as part of BIR
 S workshop: Optimization under Uncertainty: Learning and Decision Making\n
 \nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/BIRS_21w5167/5/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Peng Chen (UT Austin)
DTSTART:20210209T170000Z
DTEND:20210209T174500Z
DTSTAMP:20260404T042038Z
UID:BIRS_21w5167/6
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/BIRS_
 21w5167/6/">Taylor approximation for PDE and chance constrained optimizati
 on under uncertainty</a>\nby Peng Chen (UT Austin) as part of BIRS worksho
 p: Optimization under Uncertainty: Learning and Decision Making\n\nAbstrac
 t: TBA\n
LOCATION:https://stable.researchseminars.org/talk/BIRS_21w5167/6/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Bamdad Hosseini (California Institute of Technology)
DTSTART:20210210T160000Z
DTEND:20210210T164500Z
DTSTAMP:20260404T042038Z
UID:BIRS_21w5167/7
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/BIRS_
 21w5167/7/">Conditional Sampling with Monotone GANs: Modifying Generative 
 Models to Solve Inverse Problems</a>\nby Bamdad Hosseini (California Insti
 tute of Technology) as part of BIRS workshop: Optimization under Uncertain
 ty: Learning and Decision Making\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/BIRS_21w5167/7/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Eldad Haber (The University of British Columbia)
DTSTART:20210210T170000Z
DTEND:20210210T174500Z
DTSTAMP:20260404T042038Z
UID:BIRS_21w5167/8
DESCRIPTION:by Eldad Haber (The University of British Columbia) as part of
  BIRS workshop: Optimization under Uncertainty: Learning and Decision Maki
 ng\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/BIRS_21w5167/8/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Panel Discussion
DTSTART:20210210T180000Z
DTEND:20210210T190000Z
DTSTAMP:20260404T042038Z
UID:BIRS_21w5167/9
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/BIRS_
 21w5167/9/">Discussion PDEs and machine learning</a>\nby Panel Discussion 
 as part of BIRS workshop: Optimization under Uncertainty: Learning and Dec
 ision Making\n\n\nAbstract\nThe panel will discuss current developments at
  the interface of machine learning and partial differential equations (PDE
 ).  Recent years have seen increased activity in this area including new m
 achine learning approaches using PDE techniques and machine learning appro
 aches for solving PDE problems. The panel will discuss research potential\
 , possible pitfalls\, and the impact of those activities on education and 
 training. The panel will also encourage questions from the audience.\n
LOCATION:https://stable.researchseminars.org/talk/BIRS_21w5167/9/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Bodhisattva Sen (Columbia University)
DTSTART:20210211T160000Z
DTEND:20210211T164500Z
DTSTAMP:20260404T042038Z
UID:BIRS_21w5167/10
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/BIRS_
 21w5167/10/">Nonparametric maximum likelihood estimation in heteroscedasti
 c mixture models: density estimation\, denoising and deconvolution</a>\nby
  Bodhisattva Sen (Columbia University) as part of BIRS workshop: Optimizat
 ion under Uncertainty: Learning and Decision Making\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/BIRS_21w5167/10/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Masoumeh Dashti (U Sussex)
DTSTART:20210211T170000Z
DTEND:20210211T174500Z
DTSTAMP:20260404T042038Z
UID:BIRS_21w5167/11
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/BIRS_
 21w5167/11/">Posterior consistency in Bayesian inference with exponential 
 priors</a>\nby Masoumeh Dashti (U Sussex) as part of BIRS workshop: Optimi
 zation under Uncertainty: Learning and Decision Making\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/BIRS_21w5167/11/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Panel Discussion
DTSTART:20210211T180000Z
DTEND:20210211T190000Z
DTSTAMP:20260404T042038Z
UID:BIRS_21w5167/12
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/BIRS_
 21w5167/12/">Discussion Statistical Learning in the Context of Shape Const
 raints\, Model Information and Rare Events</a>\nby Panel Discussion as par
 t of BIRS workshop: Optimization under Uncertainty: Learning and Decision 
 Making\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/BIRS_21w5167/12/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Philip Thompson (Purdue)
DTSTART:20210212T160000Z
DTEND:20210212T164500Z
DTSTAMP:20260404T042038Z
UID:BIRS_21w5167/13
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/BIRS_
 21w5167/13/">Robust Regression</a>\nby Philip Thompson (Purdue) as part of
  BIRS workshop: Optimization under Uncertainty: Learning and Decision Maki
 ng\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/BIRS_21w5167/13/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Bart van Bloemen Waanders (Sandia National Laboratories)
DTSTART:20210212T170000Z
DTEND:20210212T174500Z
DTSTAMP:20260404T042038Z
UID:BIRS_21w5167/14
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/BIRS_
 21w5167/14/">Hyper-differential sensitivity analysis for control under unc
 ertainty of hypersonic vehicles</a>\nby Bart van Bloemen Waanders (Sandia 
 National Laboratories) as part of BIRS workshop: Optimization under Uncert
 ainty: Learning and Decision Making\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/BIRS_21w5167/14/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Elizabeth Newman (Emory)
DTSTART:20210212T180000Z
DTEND:20210212T184500Z
DTSTAMP:20260404T042038Z
UID:BIRS_21w5167/15
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/BIRS_
 21w5167/15/">Train Like a (VarPro): Efficient Training of Neural Networks 
 with Variable Projection</a>\nby Elizabeth Newman (Emory) as part of BIRS 
 workshop: Optimization under Uncertainty: Learning and Decision Making\n\n
 Abstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/BIRS_21w5167/15/
END:VEVENT
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