BEGIN:VCALENDAR
VERSION:2.0
PRODID:researchseminars.org
CALSCALE:GREGORIAN
X-WR-CALNAME:researchseminars.org
BEGIN:VEVENT
SUMMARY:Darinka Dentcheva (Stevens Institute of Technology)
DTSTART:20210208T160000Z
DTEND:20210208T164500Z
DTSTAMP:20260422T185720Z
UID:BIRS_21w5167/1
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BIRS_21w5167
 /1/">Subregular Recourse in Multistage Stochastic Optimization</a>\nby Dar
 inka Dentcheva (Stevens Institute of Technology) as part of BIRS workshop:
  Optimization under Uncertainty: Learning and Decision Making\n\n\nAbstrac
 t\nWe discuss nonlinear multistage stochastic optimization problems in the
  spaces of integrable functions. The problems may include nonlinear dynami
 cs and general objective functionals with dynamic risk measures as a parti
 cular case. We present analysis about the causal operators describing the 
 dynamics of the system and the Clarke subdifferential for a penalty functi
 on involving such operators. We introduce concept of a subregular recourse
  in nonlinear multistage stochastic optimization and establish subregulari
 ty of the resulting systems in two formulations: with built-in nonanticipa
 tivity and with explicit nonanticipativity constraints. Optimality conditi
 ons for both formulations and their relations will be presented. This is a
  joint work with Andrzej Ruszczynski\, Rutgers University.\n
LOCATION:https://researchseminars.org/talk/BIRS_21w5167/1/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Guzin Bayraksan (Ohio State University)
DTSTART:20210208T170000Z
DTEND:20210208T174500Z
DTSTAMP:20260422T185720Z
UID:BIRS_21w5167/2
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BIRS_21w5167
 /2/">Data-driven sample average approximation with covariate information</
 a>\nby Guzin Bayraksan (Ohio State University) as part of BIRS workshop: O
 ptimization under Uncertainty: Learning and Decision Making\n\nAbstract: T
 BA\n
LOCATION:https://researchseminars.org/talk/BIRS_21w5167/2/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Drew Kouri (Sandia National Laboratories)
DTSTART:20210208T180000Z
DTEND:20210208T184500Z
DTSTAMP:20260422T185720Z
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://researchseminars.org/talk/BIRS_21w5167/3/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Youssef Marzouk (Massachusetts Institute of Technology)
DTSTART:20210208T190000Z
DTEND:20210208T194500Z
DTSTAMP:20260422T185720Z
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://researchseminars.org/talk/BIRS_21w5167/4/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Georg Stadler (New York University)
DTSTART:20210209T160000Z
DTEND:20210209T164500Z
DTSTAMP:20260422T185720Z
UID:BIRS_21w5167/5
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BIRS_21w5167
 /5/">Optimal control of PDEs under uncertainty with joint chance state con
 straints</a>\nby Georg Stadler (New York University) as part of BIRS works
 hop: Optimization under Uncertainty: Learning and Decision Making\n\nAbstr
 act: TBA\n
LOCATION:https://researchseminars.org/talk/BIRS_21w5167/5/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Peng Chen (UT Austin)
DTSTART:20210209T170000Z
DTEND:20210209T174500Z
DTSTAMP:20260422T185720Z
UID:BIRS_21w5167/6
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BIRS_21w5167
 /6/">Taylor approximation for PDE and chance constrained optimization unde
 r uncertainty</a>\nby Peng Chen (UT Austin) as part of BIRS workshop: Opti
 mization under Uncertainty: Learning and Decision Making\n\nAbstract: TBA\
 n
LOCATION:https://researchseminars.org/talk/BIRS_21w5167/6/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Bamdad Hosseini (California Institute of Technology)
DTSTART:20210210T160000Z
DTEND:20210210T164500Z
DTSTAMP:20260422T185720Z
UID:BIRS_21w5167/7
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BIRS_21w5167
 /7/">Conditional Sampling with Monotone GANs: Modifying Generative Models 
 to Solve Inverse Problems</a>\nby Bamdad Hosseini (California Institute of
  Technology) as part of BIRS workshop: Optimization under Uncertainty: Lea
 rning and Decision Making\n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/BIRS_21w5167/7/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Eldad Haber (The University of British Columbia)
DTSTART:20210210T170000Z
DTEND:20210210T174500Z
DTSTAMP:20260422T185720Z
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://researchseminars.org/talk/BIRS_21w5167/8/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Panel Discussion
DTSTART:20210210T180000Z
DTEND:20210210T190000Z
DTSTAMP:20260422T185720Z
UID:BIRS_21w5167/9
DESCRIPTION:Title: <a href="https://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 Decision M
 aking\n\n\nAbstract\nThe panel will discuss current developments at the in
 terface of machine learning and partial differential equations (PDE).  Rec
 ent years have seen increased activity in this area including new machine 
 learning approaches using PDE techniques and machine learning approaches f
 or solving PDE problems. The panel will discuss research potential\, possi
 ble pitfalls\, and the impact of those activities on education and trainin
 g. The panel will also encourage questions from the audience.\n
LOCATION:https://researchseminars.org/talk/BIRS_21w5167/9/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Bodhisattva Sen (Columbia University)
DTSTART:20210211T160000Z
DTEND:20210211T164500Z
DTSTAMP:20260422T185720Z
UID:BIRS_21w5167/10
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BIRS_21w5167
 /10/">Nonparametric maximum likelihood estimation in heteroscedastic mixtu
 re models: density estimation\, denoising and deconvolution</a>\nby Bodhis
 attva Sen (Columbia University) as part of BIRS workshop: Optimization und
 er Uncertainty: Learning and Decision Making\n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/BIRS_21w5167/10/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Masoumeh Dashti (U Sussex)
DTSTART:20210211T170000Z
DTEND:20210211T174500Z
DTSTAMP:20260422T185720Z
UID:BIRS_21w5167/11
DESCRIPTION:Title: <a href="https://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: Optimization 
 under Uncertainty: Learning and Decision Making\n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/BIRS_21w5167/11/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Panel Discussion
DTSTART:20210211T180000Z
DTEND:20210211T190000Z
DTSTAMP:20260422T185720Z
UID:BIRS_21w5167/12
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BIRS_21w5167
 /12/">Discussion Statistical Learning in the Context of Shape Constraints\
 , Model Information and Rare Events</a>\nby Panel Discussion as part of BI
 RS workshop: Optimization under Uncertainty: Learning and Decision Making\
 n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/BIRS_21w5167/12/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Philip Thompson (Purdue)
DTSTART:20210212T160000Z
DTEND:20210212T164500Z
DTSTAMP:20260422T185720Z
UID:BIRS_21w5167/13
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BIRS_21w5167
 /13/">Robust Regression</a>\nby Philip Thompson (Purdue) as part of BIRS w
 orkshop: Optimization under Uncertainty: Learning and Decision Making\n\nA
 bstract: TBA\n
LOCATION:https://researchseminars.org/talk/BIRS_21w5167/13/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Bart van Bloemen Waanders (Sandia National Laboratories)
DTSTART:20210212T170000Z
DTEND:20210212T174500Z
DTSTAMP:20260422T185720Z
UID:BIRS_21w5167/14
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BIRS_21w5167
 /14/">Hyper-differential sensitivity analysis for control under uncertaint
 y of hypersonic vehicles</a>\nby Bart van Bloemen Waanders (Sandia Nationa
 l Laboratories) as part of BIRS workshop: Optimization under Uncertainty: 
 Learning and Decision Making\n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/BIRS_21w5167/14/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Elizabeth Newman (Emory)
DTSTART:20210212T180000Z
DTEND:20210212T184500Z
DTSTAMP:20260422T185720Z
UID:BIRS_21w5167/15
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BIRS_21w5167
 /15/">Train Like a (VarPro): Efficient Training of Neural Networks with Va
 riable Projection</a>\nby Elizabeth Newman (Emory) as part of BIRS worksho
 p: Optimization under Uncertainty: Learning and Decision Making\n\nAbstrac
 t: TBA\n
LOCATION:https://researchseminars.org/talk/BIRS_21w5167/15/
END:VEVENT
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