[External Email]
NA Digest, V. 20, # 36
NA Digest Sunday, September 20, 2020 Volume 20 : Issue 36
Today's Editor:
Daniel M. Dunlavy
Sandia National Labs
dmdunla@sandia.gov
Today's Topics:
- Lagrange Prize in Continuous Optimization
- Twentieth IMA Leslie Fox Prize for Numerical Analysis
- New Book, Linear Algebra for Everyone
- Data Assimilation and Uncertainty Quantification, ONLINE, Sep 2020
- Bilevel Optimization, ONLINE, Oct 2020
- Sparse Days at Cerfacs, ONLINE, Nov 2020
- ECCOMAS Young Investigators Conference, Spain, Jul 2021
- Deputy Director Position, ICERM/Brown Univ
- Full Professor Position, Optimization and Control, Univ Bayreuth
- Tenure-Track Position, Computing and Mathematical Sciences, CalTech
- Multiple Positions, HPC, Simula Research Laboratory
- Postdoc Fellowship Positions, Berkeley Lab
- Postdoc Positions, Braids, ICERM
- Postdoc Positions, Hamiltonian Methods, ICERM
- Postdoc Positions, Numerical Analysis for PDEs, Italy
- Postdoc Positions, Simons Bridge, ICERM/Brown Univ
- PhD Position, Generalized Supervised Classification, BCAM
- PhD Positions, Applied Mathematics and Applied Statistics, NJIT
- PhD Positions, Computational Illumination Optics
- Contents, Information and Inference, 9 (3)
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From: Sven Leyffer leyffer@anl.gov
Date: September 14, 2020
Subject: Lagrange Prize in Continuous Optimization
The Lagrange Prize in Continuous Optimization will be awarded jointly
by SIAM and the Mathematical Optimization Society (MOS) at the 2021
SIAM Annual Meeting. We are now accepting nominations, see
https://evoq-eval.siam.org/prizes-recognition/joint-prizes/detail/lagrange-
prize-in-continuous-optimization
The Lagrange Prize in Continuous Optimization is awarded ever three
years for an outstanding contribution in the area of continuous
optimization published in the six calendar years prior to the award
year. The MOS administers the prize and it is awarded jointly by MOS
and SIAM.
Eligibility Criteria: The award is based primarily on the work's
mathematical quality, significance, and originality. Clarity and
excellence of the exposition and the value of the work in practical
applications may be considered as secondary attributes. The extended
period of six years reflects the fact that the value of fundamental
work cannot always be immediately assessed.
The work must have been published as the final publication of the main
result(s) within the six calendar years preceding the award year. The
work should be published as an article in a peer-reviewed journal, or
other peer-reviewed publication, intended to publish final papers
only; or as a monograph publishing original results.
For the 2021 award, the work must have been published between the
dates of January 1, 2015 - December 31, 2020.
Nomination Deadline: October 15, 2020
Selection Committee:
Sven Leyffer (Chair), Argonne National Laboratory
Xiaojun Chen, Hong Kong Polytechnic University
Etienne de Klerk, University of Tilberg, The Netherlands
Philip Gill, University of California San Diego
From: Des Higham d.j.higham@ed.ac.uk
Date: September 14, 2020
Subject: Twentieth IMA Leslie Fox Prize for Numerical Analysis
Entries for the Twentieth IMA Leslie Fox Prize for Numerical Analysis
are now being accepted, with a deadline of January 31st,
2021. Applicants must be less than 31 years old on January 1st,
2021. Appropriate career breaks will be taken into account.
Each entry should be based on a paper, describing some of the
candidate's research, that is suitable for a 40 minute lecture at a
numerical analysis meeting. Papers will be selected by the
Adjudicating Committee by mid-April 2021, for presentation at the IMA
Leslie Fox Prize meeting.
The Adjudicating Committee comprises
Des Higham (University of Edinburgh),
Carola Schoenlib (Cambridge University),
Alex Townsend (Cornell University).
Full details are available at
https://ima.org.uk/14623/ima-fox-prize-2021-call-for-papers/
From: Gilbert Strang gilstrang@gmail.com
Date: September 17, 2020
Subject: New Book, Linear Algebra for Everyone
2020 / xii + 356 pages / Hardcover / 978-1-7331466-3-0
Wellesley-Cambridge Press / List 85.00 / Individuals 57.00
This linear algebra textbook has a new start. For small matrices with
integer entries, everyone can recognize when a column is a combination
of earlier columns. Then A = CR : independent columns in C times
coefficients in R give all columns in A. From examples come the key
ideas of rank and column space. When all columns are multiples of one
column in C, the rank is 1 and R has one row : column rank = row rank.
This new start leads to a better finish. The goal is the SVD: perfect
bases for the column space and nullspace of A and A^T. This is a
textbook for linear algebra courses everywhere. Please see
http://math.mit.edu/everyone for the Contents and the Preface.
From: Sue Thorne sue.thorne@stfc.ac.uk
Date: September 15, 2020
Subject: Data Assimilation and Uncertainty Quantification, ONLINE, Sep 2020
Uncertainty Quantification (UQ) includes the propagation of
uncertainty from inputs to outputs through simulators, as well as
inverse problems resulting from the calibration of models against
observations. One key tool is building emulators (surrogate
statistical models) to replace computationally expensive
simulators. Data assimilation (DA) synergizes computer simulations and
real-world data, e.g. from weather prediction to hazard modelling,
urban analytics and biological science, with observations used to
update simulations in real time. With the interaction between forward
simulations and information-driven methods, techniques for UQ and DA
are specifically challenged by the scale of problems that exascale
computing will enable. Developing efficient UQ and DA algorithms will
also be a major challenge, with close collaborations between RSEs and
researchers necessary.
This online Zoom-hosted workshop is part of an EPSRC funded project on
Exascale Computing for Systems Level Engineering. This is an
international workshop, free to attend and will take place on 24-25
September 2020 (13:00-17:00 BST). Registration is required. Further
details, including the link to register, are available at
https://excalibur- sle.github.io/workshop2.html
From: Marina Leal marina.leal@uv.es
Date: September 17, 2020
Subject: Bilevel Optimization, ONLINE, Oct 2020
Autumn School on Bilevel Optimization (October 12- 14, 2020)
Bilevel optimization problems have attracted considerable attention
over the last decades since their structure allows the modeling of a
large number of real-life problems involving two types of
decision-makers, a leader and a follower, interacting sequentially in
a hierarchical setting. This rather young and highly active field at
the interfaces between mathematical optimization, computer science,
and operations research has grown a lot in the last years. The studied
problems are constrained optimization problems in which some
constraints specify that a subset of variables constitutes an optimal
solution of another (nested) optimization problem. Bilevel problems
constitute a class of very difficult problems because they are
inherently nonconvex and nondifferentiable. They are already NP-hard
even if both levels are linear problems.
In the ALOP (https://alop.uni-trier.de) autumn school on bilevel
optimization we will have introductory talks on the topics of linear
as well as mixed-integer linear bilevel problems and on the relation
between bilevel optimization, MPECs, and variational inequalities. The
confirmed speakers are Martine Labbe (Universite Libre de Bruxelles),
Ivana Ljubic (ESSEC Business School of Paris), and Didier Aussel
(Universite de Perpignan).
Due to the current circumstances, the autumn school will take place
online via Zoom meetings. Registration and participation are free of
charge and we will provide certificates of participation. The
registration deadline is September 28, 2020. We also plan to have an
elevator pitch session, where all participants can present their
current research in short talks of 3 minutes.
All relevant information and updates can be found at
https://alop.uni-trier.de/event/autumn-school-on-bilevel-optimization.
From: Iain Duff duff@cerfacs.fr
Date: September 17, 2020
Subject: Sparse Days at Cerfacs, ONLINE, Nov 2020
Sadly, because of the pandemic, we will not be able to have a normal
face-to-face Sparse Days at Cerfacs this year. We will be holding an
online version from 3pm to 7pm on 23 and 24 November. The timing is
chosen to accommodate participants from North America since, at normal
Sparse Days, we have a good representation from there.
A registration form is available on the conference website
https://sparsedays.cerfacs.fr/en where you can also submit a title and
an abstract for any proposed talk. We will probably be using the
Webex system and will post details about how to connect to all people
who register.
Although the meeting is now online, we plan to have the same flavour
as for previous Sparse Days. That is to say having a relaxed
programme with short talks and scheduled coffee breaks for less formal
discussion. Sadly, there will not be a Conference Dinner this year.
We already have arranged for talks by a few well known senior people
but as usual, have plenty of room and encouragement for students and
young researchers.
Although we have set a deadline of 6 November 2020, it would be very
good if you could register well before then, especially if you are
planning on giving a talk.
As usual, any talk that even loosely fits our conference title is
welcome. In order to keep a relaxed format and to accommodate all
anticipated talks within the programme, we would encourage short talks
(20 minutes including questions), but are happy to include longer or
shorter ones on request.
From: Carmen Rodrigo carmenr@unizar.es
Date: September 19, 2020
Subject: ECCOMAS Young Investigators Conference, Spain, Jul 2021
The next ECCOMAS Young Investigators Conference will be hold in
Valencia (SPAIN) next 7th-9th July 2021. The main goal of the YIC 2021
conference is to bring together young investigators and experienced
researchers, and provide a forum for discussing the state-of-the-art
on Computational Methods and Applied Sciences. Contributions to any
topic related to computational science and engineering are welcome.
It is our pleasure to invite you to organize a Minisymposium (MS) in a
topic of your interest. The MS must include at least four invited
presentations. We would appreciate receiving your one page MS
proposal by 30th September at yic2021@upv.es .
Detailed information about the conference can be found at
http://www.yic2021.upv.es
From: Ruth Crane ruth_crane@icerm.brown.edu
Date: September 18, 2020
Subject: Deputy Director Position, ICERM/Brown Univ
The Institute for Computational and Experimental Research in
Mathematics (ICERM) at Brown University invites applications for the
position of Deputy Director, for a term of two to four years beginning
as early as July 1, 2021. ICERM is located in Providence, RI, and was
established in 2010 through a National Science Foundation grant.
ICERM scientific programs are overseen by a Director and two Deputy
Directors and assisted by several Associate Directors charged with
specific projects or responsibilities. The Deputy Director is a
half-time appointment and is expected to be in residence at the
institute for half the year. A Deputy Director should have a
Ph.D. and research achievements in mathematics or a related field and
is expected to contribute to scientific discussions of programmatic
activities and events. Preference will be given to applicants with a
scholarly background complementary to the current directors and a
broad perspective on research. A courtesy visiting faculty appointment
in the appropriate department at Brown will be provided. The Deputy
Director works closely with ICERM's staff and reports to the
Director. Applicants should submit a cover letter, CV, and names of
two references to director@icerm.brown.edu. Review of applications
will begin November 15 and applications will be accepted until the
position is filled.
Brown University is committed to fostering a diverse and inclusive
academic global community; as an EEO/AA employer, Brown considers
applicants for employment without regard to, and does not discriminate
on the basis of, gender, sex, sexual orientation, gender identity,
national origin, age, race, protected veteran status, disability, or
any other legally protected status.
From: Lars Gruene lars.gruene@uni-bayreuth.de
Date: September 14, 2020
Subject: Full Professor Position, Optimization and Control, Univ Bayreuth
The Faculty of Mathematics, Physics & Computer Science at the
University of Bayreuth is currently seeking to appoint a Full
Professor of Data Driven Dynamic Optimization and Control at pay grade
W 3 (minimum salary per month: 7,217 euros) to commence as soon as
possible. This is a permanent civil service position.
The incumbent will represent his/her subject area in both research and
teaching. Applicants should have their research focus in the area of
data-driven dynamic optimization and control or a related field. Of
particular interest is the development of data-driven algorithms for
the dynamic optimization and control of dynamic systems and their
mathematical foundations, especially with applications in intelligent
robotics and/or battery technology. We are looking for a scholar who
is internationally recognized in research in a related mathematical
field. Appropriate applications with reference to continuous and
discrete mathematics are equally welcome.
More information can be found on
https://www.uni-bayreuth.de/en/university/work-at-the-university/job-vacancies/professors/data-driven-dynamic/index.html
From: Sydney Garstang sydney@caltech.edu
Date: September 17, 2020
Subject: Tenure-Track Position, Computing and Mathematical Sciences, CalTech
The Computing and Mathematical Sciences (CMS) Department at the
California Institute of Technology (Caltech) invites applications for
tenure- track faculty positions. The CMS Department is part of the
Division of Engineering and Applied Science (EAS), comprising
researchers working in and between the fields of aerospace, civil,
electrical, environmental, mechanical, and medical engineering, as
well as materials science and applied physics. The Institute as a
whole represents the full range of research in biology, chemistry,
engineering, geological and planetary sciences, physics, and the
social sciences. Fundamental research in computing and mathematical
sciences, and applied research which links to activities in other
parts of Caltech, are both welcomed. A commitment to world-class
research, as well as high-quality teaching and mentoring, is expected,
and appointment as an assistant professor is contingent upon the
completion of a Ph.D. degree in applied mathematics, computer science
or related areas. The initial appointment at the assistant professor
level is four years. Reappointment beyond the initial term is
contingent upon successful review conducted prior to the commencement
of the fourth year.
- Interviews will take place in January and February 2021.
- Applications will be reviewed beginning 22 October 2020 and all
applications received before 1 December 2020 will receive full
consideration.
- Applications received before 8 November will be considered for
interviews in January.
- Applications received after 8 November will be considered for
interviews in February.
For a list of all documents required, and full instructions on how to
apply online, please visit https://applications.caltech.edu/jobs/cms.
Questions about the application process may be directed to
search@cms.caltech.edu.
From: Xing Cai xingca@simula.no
Date: September 14, 2020
Subject: Multiple Positions, HPC, Simula Research Laboratory
The High Performance Computing Department, Simula Research Laboratory,
Norway, cordially invites applicants for in total seven open
positions. These positions include a 2-year research scientist, a
3-year PhD studentship and 5 post-doc positions with a duration of
2-2.5 years.
For more details, please check the following webpages:
https://www.simula.no/about/job/high-performance-computing-call-research-scientist-and-postdoc
https://www.simula.no/about/job/high-performance-computing-call-phd-student-related-eurohpc-project-microcard
https://www.simula.no/about/job/high-performance-computing-call-two-post-docs-work-eurohpc-project-sparcity
https://www.simula.no/about/job/high-performance-computing-call-two-post-docs-work-project-enabling-graph-neural-networks
From: Esmond G. Ng EGNg@lbl.gov
Date: September 16, 2020
Subject: Postdoc Fellowship Positions, Berkeley Lab
Berkeley Lab is now accepting applications for the 2021 Luis
W. Alvarez Postdoctoral Fellowship and Admiral Grace Hopper
Postdoctoral Fellowship in the Computing Sciences Area. Apply now for
these two prestigious fellowships! Researchers in computer science,
mathematics, or any computational science discipline who have received
their Ph.D. within the last three years are encouraged to apply. The
successful applicants will receive a competitive salary, professional
travel allowance, relocation assistance, excellent benefits, and an
opportunity to work in the San Francisco Bay Area. Since its founding
in 2002, the Luis W. Alvarez Fellowship has cultivated exceptional
young scientists who have gone on to make outstanding contributions to
computational and computing sciences. The Admiral Grace Hopper
Fellowship was established in 2015. Additional information on the
Luis W. Alvarez Postdoctoral Fellowship and the Admiral Grace Hopper
Postdoctoral Fellowship can be found at
https://cs.lbl.gov/careers/computing-fellowships/.
Developing scientific applications and software technologies for
extreme- scale and energy-efficient computing; Developing mathematical
modeling for complex scientific problems; Designing algorithms to
improve the performance of scientific applications; Researching
digital and post-digital computer architectures for science; Advancing
extreme-scale scientific data management, analysis, and
machine-learning; Developing next-generation machine learning and AI
approaches for science; Advancing quantum computing technologies,
software, algorithms and applications; Evaluating or developing new
and promising HPC systems and networking technologies; Researching
methods to control and manage dynamic circuit networks; Developing
large-scale visualization and analytics technologies; Managing
scientific data in distributed environments.
Application Process: For consideration applications are due November
9, 2020. Letters of Reference are due November 16, 2020. Details of
the application process can be found at
https://lbl.referrals.selectminds.com/jobs/2021-alvarez-hopper-postdoctoral-fellow-2968.
From: Ruth Crane ruth_crane@icerm.brown.edu
Date: September 18, 2020
Subject: Postdoc Positions, Braids, ICERM
These positions at the Institute for Computational and Experimental
Research in Mathematics (ICERM) at Brown University are intended for
mathematical scientists at an early stage of their career (those who
have completed their Ph.D. within three years of the start of the
appointment). Institute Postdoctoral Fellowship: ICERM has one
opening for this 9-month appointment, commencing in September
2021. The Institute Postdoc will begin as a researcher-in-residence
during the fall 2021 semester and will participate in the spring 2022
"Braids" semester program. ICERM will match the Institute Postdoc with
a faculty mentor for the entire academic year. The Institute Postdoc
receives a nine-month stipend of $60,000 with benefit funding and up
to $1,600 in reimbursable research-related travel allowance. Semester
Postdoctoral Fellowships: ICERM has five openings for its
semester-long positions. These appointments are intended for those who
would like to participate in the spring 2022 semester program
"Braids". ICERM will match Semester Postdocs with faculty mentors for
the duration of the spring semester. ICERM Semester Postdocs receive a
stipend over four months of $30,000 with benefit funding, and up to
$800 in reimbursable research-related travel allowance. Learn more
about ICERM's Spring 2022 Semester Program and how to apply for these
positions at http://mathjobs.org/jobs/list/16156.
For full consideration, applicants must submit an AMS Standard Cover
Sheet, cover letter, curriculum vitae (including publication list),
research statement, and three letters of recommendation. Priority will
be given to applications received before January 4, 2021.
From: Ruth Crane ruth_crane@icerm.brown.edu
Date: September 18, 2020
Subject: Postdoc Positions, Hamiltonian Methods, ICERM
These positions at the Institute for Computational and Experimental
Research in Mathematics (ICERM) at Brown University are intended for
mathematical scientists at an early stage of their career (those who
have completed their Ph.D. within three years of the start of the
appointment). Institute Postdoctoral Fellowship: ICERM has one
opening for its 9-month appointment, commencing in September 2021. The
Institute Postdoc will participate in the fall 2021 "Hamiltonian
Methods in Dispersive and Wave Evolution Equations" semester program
and remain as a researcher-in- residence during the spring 2022
semester. ICERM will match the Institute Postdoc with a faculty mentor
for the entire academic year. The Institute Postdoc receives a
nine-month stipend of $60,000 with benefit funding and up to $1,600 in
reimbursable research-related travel allowance. Semester Postdoctoral
Fellowships: ICERM has five openings for its semester-long
positions. These appointments are intended for those who would like to
participate in the fall 2021 semester program: "Hamiltonian Methods in
Dispersive and Wave Evolution Equations". ICERM will match Semester
Postdocs with faculty mentors for the duration of the fall
semester. ICERM Semester Postdocs receive a stipend over four months
of $30,000 with benefit funding and up to $800 in reimbursable
research- related travel allowance. Learn more about ICERM's Fall
2021 Semester Program and how to apply for these positions at
http://mathjobs.org/jobs/list/16155.
Applicants must submit an AMS Standard Cover Sheet, cover letter, CV,
research statement, and three letters of recommendation. Priority will
be given to applications received before January 4, 2021.
From: Andrea Moiola andrea.moiola@unipv.it
Date: September 16, 2020
Subject: Postdoc Positions, Numerical Analysis for PDEs, Italy
The Department of Mathematics of the University of Pavia (Italy)
invites applications for two postdoctoral positions in "Innovative
methods for PDEs". The research will focus on the design,
implementation and analysis of novel numerical methods for PDEs,
including isogeometric analysis, discontinuous Galerkin, boundary
element methods. The closing date is 14th October 2020.
For details see:
https://tinyurl.com/PaviaPostDocNumPDE
(please scroll down the pdf for the English version).
Contacts:
Andrea Moiola - http://matematica.unipv.it/moiola/
Giancarlo Sangalli - https://www-dimat.unipv.it/sangalli/
From: Ruth Crane ruth_crane@icerm.brown.edu
Date: September 18, 2020
Subject: Postdoc Positions, Simons Bridge, ICERM/Brown Univ
In response to the COVID-19 crisis, the Simons Foundation has created
the Simons Bridge for Postdoctoral Fellowships, to provide additional
funding to institutes to support one-year postdoctoral positions in
mathematics starting in the fall of 2021 and 2022. The Institute for
Computational and Experimental Research in Mathematics (ICERM) has
been allocated three fellowship positions to start in the fall of 2021
and three to start in the fall of 2022. Three Simons Bridge
Fellowships will begin September 1, 2021; these may be extendable for
a second year. The Simons Bridge Postdoctoral Fellowships are
twelve-month appointments. They may not be held in conjunction with an
NSF Mathematical Sciences Postdoctoral Research Fellowship or similar
awards. Fellows should not hold positions at other institutions during
their tenure.
Applicants must identify an individual from ICERM/Brown University or
another institution in Rhode Island or the Boston metro area that
could serve as a research mentor. Possible mentors could come from the
Mathematics Department or Division of Applied Mathematics at Brown or
from ICERM's 2021-22 programs: Hamiltonian Methods in Dispersive and
Wave Evolution Equations (fall 2021), Braids (spring 2022).
Eligibility: Applicants must expect to receive their Ph.D. in calendar
year 2021. Documentation of completion of all requirements for a
doctoral degree in mathematics or a related area by the start of the
appointment is required.
From: Irune Diaz Gonzalez recruitment@bcamath.org
Date: September 18, 2020
Subject: PhD Position, Generalized Supervised Classification, BCAM
IC2020_09_Industrial PhD Fellowship in Generalized Supervised
Classification, Generalized supervision for scenarios affected by
noisy labels, semi- supervision, domain adaptation, and heterogeneous
samples.
Requirements: Promising young researchers. Applicants should have
their MSc. completed before 31.11.2020. MSc. degree is required from
mathematics, computer science or related area.
Skills and track-record: Ability to effectively communicate and
present research ideas. Previous experience in research projects is
highly desirable. High level of spoken and written English. Good
communication and interpersonal skills.
Scientific Profile: The researcher will develop techniques for
supervised classification that aggregate general ensembles of training
samples with different types. The thesis will first develop
techniques for scenarios affected by noisy labels and
semi-supervision. Finally, the thesis will develop techniques for
scenarios with more general training samples such as those developed
under the paradigms of domain adaptation and transfer
learning. Candidates are expected to have strong mathematical
background with experience on software languages for numerical
computing such as Matlab and Python. Other fields relevant for the
Thesis project are: convex optimization, linear algebra, and statistics.
APPLY AT:
http://www.bcamath.org/en/research/job/ic2020-09-industrial-phd-fellowship-in-generalized-supervised-classification
DEADLINE: 30/9/2020
From: Travis Askham askham@njit.edu
Date: September 18, 2020
Subject: PhD Positions, Applied Mathematics and Applied Statistics, NJIT
The Department of Mathematical Sciences at New Jersey Institute of
Technology (NJIT) is inviting candidates to apply to one of our
doctoral program tracks: (1) Applied Mathematics or (2) Applied
Probability & Statistics. The Department's research focus spans
Scientific Computing, Fluid Dynamics, Materials Science, Wave
Propagation, Applied Analysis, Mathematical Biology and Computational
Neuroscience, and Applied Probability & Statistics, including
Biostatistics and Data Science. Teaching and research assistantships
are available, and include a tuition waiver and a competitive stipend.
Application target date is December 25, 2020 but ongoing review will
continue until all available positions are filled.
To apply, please visit our homepage:
https://www.njit.edu/graduatestudies/department-mathematical-sciences/
For more information, please email us (math@njit.edu, CC
to:shahriar.afkhami@njit.edu).
A PhD Program advertisement flyer is available at
http://web.njit.edu/~matveev/NJIT_DMS_PhD_flyer.pdf
From: Jan ten Thije Boonkkamp j.h.m.tenthijeboonkkamp@tue.nl
Date: September 17, 2020
Subject: PhD Positions, Computational Illumination Optics
In the computational illumination optics group of TU/e there are three
vacancies for PhD positions to work on the development of simulation
tools and design methods for advanced optical systems. The research is
at the interface of scientific computing and illumination optics, and
is conducted in collaboration with the high-tech industry in the
Eindhoven region.
For more details, see https://www.win.tue.nl/~martijna/Optics/.
From: Emily Richardson emily.richardson@oup.com
Date: September 15, 2020
Subject: Contents, Information and Inference, 9 (3)
Contents, Information and Inference: A Journal of the IMA, 9 (3)
Information and Inference: A Journal of the IMA
Links to all articles in the issue are available online at:
https://academic.oup.com/imaiai/issue/9/3
Phase transitions of spectral initialization for high-dimensional
non-convex estimation, Yue M Lu, Gen Li
Quantized compressive sensing with RIP matrices: the benefit of
dithering, Chunlei Xu, Laurent Jacques
Maximum number of modes of Gaussian mixtures, Carlos Amendola,
Alexander Engstrom, Christian Haase
One-bit compressed sensing with partial Gaussian circulant matrices,
Sjoerd Dirksen, Hans Christian Jung, Holger Rauhut
On the S-instability and degeneracy of discrete deep learning models,
Andee Kaplan, Daniel J Nordman, Stephen B Vardeman
Quantifying the estimation error of principal component vectors,
Raphael Hauser, Juri Lember, Heinrich Matzinger, Raul Kangro
Two-sample statistics based on anisotropic kernels, Xiuyuan Cheng,
Alexander Cloninger, Ronald R Coifman
Phase harmonic correlations and convolutional neural networks,
Stephane Mallat, Sixin Zhang, Gaspar Rochette
End of Digest
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