Cari tutti,
giovedì 4 aprile, alle ore 14:30, presso la Sala Riunioni del Dipartimento di Matematica (primo piano) dell'Università degli studi di Pisa si terrà il seguente seminario:
(Dear all, on Thursday, April 4th, 2:30 PM, the following talk will take place in Sala Riunioni, Dipartimento di Matematica, University of Pisa:)
SPEAKER: Giacomo De Palma (University of Copenhagen)
TITLE: Random deep neural networks are biased towards simple functions
ABSTRACT: We prove that the binary classifiers of bit strings generated by random wide deep neural networks are biased towards simple functions. The simplicity is captured by the following two properties. For any given input bit string, the average Hamming distance of the closest input bit string with a different classification is at least sqrt(n/(2πlog(n))), where n is the length of the string. Moreover, if the bits of the initial string are flipped randomly, the average number of flips required to change the classification grows linearly with n. On the contrary, for a uniformly random binary classifier, the average Hamming distance of the closest input bit string with a different classification is one, and the average number of random flips required to change the classification is two. Our proof is based on the recent breakthrough in machine learning stating that random deep neural networks behave as Gaussian processes. Our results are confirmed by numerical experiments on deep ne
ural networks with two hidden layers, and settle the conjecture stating that random deep neural networks are biased towards simple functions. The conjecture that random deep neural networks are biased towards simple functions was proposed and numerically explored in [Valle Pérez et al., arXiv:1805.08522] to explain the unreasonably good generalization properties of deep learning algorithms. By providing a precise characterization of the form of this bias towards simplicity, our results open the way to a rigorous proof of the generalization properties of deep learning algorithms in real-world scenarios.
--
Dario Trevisan,
Università degli Studi di Pisa,
Dipartimento di Matematica,
Largo Bruno Pontecorvo 5,
56127 - Pisa (PI) Italy
telephone: (+39) 050 2213832
mobile: (+39) 331 2899761
Skype: dario-trevisan
e-mail: dario.trevisan AT unipi.it
webpage: http://people.dm.unipi.it/trevisan/
Ricevo e inoltro.
Buona giornata,
Niccolò Torri
Post-Doc
Université Paris-Est Créteil, LAMA, Bat. P2,
61 Av. Général de Gaulle, 94010 Créteil,
Bureau P2-232
http://perso.math.u-pem.fr/torri.niccolo/index.html
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Dear all,
We are pleased to announce the opening of a 12-month post-doctoral position
as part of the ANR MALIN (Interactive Random Walks) for the 2019/20
academic year, with flexible start and end dates.
The themes of the ANR are
- Gaussian Free Field (GFF), Branching Random Walks (BRW), and Random
Interlacements
- Random walks in random environments (RWRE)
- Self-Interacting random walks (SIRW)
- Particle systems, forest fires and percolation
but all applications in the field of probability/statistical physics
related to these themes will also be carefully considered.
The candidate will be affiliated to CEREMADE, Université Paris-Dauphine (*).
The file must consist of the following documents:
- Curriculum vitae
- List of publications
- Research statement
- 2 letters of recommendation
Applications should be sent as soon as possible, and in any case before 3
April 2019, via the CNRS website :
https://emploi.cnrs.fr/Offres/CDD/UMR7534-JULPOI-001/Default.aspx
With kind regards,
Pierre Tarrès
(*) PS: Here is the list of Parisian members of the ANR MALIN:
Elie Aidekon, Sorbonne Université
Anne-Laure Basdevant, Université Paris Nanterre
Eric Brunet, Sorbonne Université
Bernard Derrida, Sorbonne Université/Ecole Normale Supérieure Paris
Laure Dumaz, Université Paris Dauphine
Nathalie Eisenbaum, Université Paris Descartes
Nathanaël Enriquez, Université Paris-Sud
Anna Erschler, Ecole Normale Supérieure Paris
Gabriel Faraud, Université Paris Nanterre
Nicolas Fournier, Sorbonne Université
Yueyun Hu, Université Paris 13
Cyrille Lucas, Université Paris Diderot
Titus Lupu, Sorbonne Université
Satya Majumdar, Université Paris-Sud
Bastien Mallein, Université Paris 13
Julien Poisat, Université Paris Dauphine
Olivier Raimond, Université Paris Nanterre
Grégory Schehr, Université Paris-Sud
Zhan Shi, Sorbonne Université
François Simenhaus, Université Paris Dauphine
Damien Simon, Sorbonne Université
Arvind Singh, Université Paris-Sud
Pierre Tarrès, Université Paris Dauphine (en détachement à NYU Shanghaï)
Laurent Tournier, Université Paris 13
Olivier Zindy, Sorbonne Université
Si segnala l'assegno di ricerca dal titolo
"Comportamento su larga scala di particelle in interazione"
Responsabile Prof. Anna De Masi, presso
L' UNIVERSITA DEGLI STUDI DELLAQUILA DIPARTIMENTO DI INGEGNERIA E
SCIENZE DELLINFORMAZIONE E MATEMATICA.
Il bando e' reperibile all'indirizzo
http://www.univaq.it/section.php?id=766
ed e' anche in allegato al presente messaggio.
Scadenza 09/04/2019
cordiali saluti
Davide Gabrielli
*************************************************************
Applications are still open for the 2019 edition of the
Bocconi Summer School in Advanced Statistics & Probability on
RANDOM GRAPHS AND COMPLEX NETWORKS (July 8-19, 2019)
INFO: http://bocconi2019.lakecomoschool.org
EXTENDED DEADLINE FOR APPLICATIONS: April 2, 2019
*************************************************************
---
Dai il tuo 5x1000 alla Bocconi.
Aiuta gli studenti meritevoli a costruire il proprio futuro.
CF 80024610158.
www.unibocconi.it/5x1000
Please note that the above message is addressed only to individuals filing Italian income tax returns.
5x1000 is a percentage of Italian personal income tax that taxpayers can allocate to Universities, scientific research and non profit organizations.
---
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An afternoon in Probability: Torino meets Leeds
Torino, April 16, 2019
%----------------------------------------------------------------------------%
Room 09 - ESOMAS Department
Corso Unione Sovietica 218/bis, 10134, Torino
-----------------Program (Speakers and abstracts)------------------
14:30-15:10 Tiziano De Angelis
(School of Mathematics, University of Leeds)
Title: Probabilistic results concerning smoothness of the value function
and of the free boundary in optimal stopping
Abstract: I will present probabilistic proofs of some regularity properties
for the value function of general optimal stopping problems and for the
associated optimal boundaries. In particular this talk focuses on C^1
regularity of the value function and Lipschitz continuity of the optimal
boundary. Most of our arguments rely on fundamental concepts from the
theory of Markov processes and bridge the probabilistic and the analytical
strands of the literature on free boundary problems. I will also illustrate
situations in which our work improves or complements known facts from PDE
theory.
15:10-15:40 Elena Issoglio
(School of Mathematics, University of Leeds)
Title: A numerical scheme for a multidimensional SDEs with distributional
drift
Abstract: This talk focuses on a multidimensional SDE where the drift is an
element of a fractional Sobolev space with negative order, hence a
distribution. This SDE admits a unique weak solution in a suitable sense -
this was proven in [Flandoli, Issoglio, Russo (2017)]. The aim here is to
construct a numerical scheme to approximate this solution. One of the key
problems is that the drift cannot be evaluated pointwise, hence we
approximate it with suitable functions using Haar wavelets, and then apply
(an extended version of) Euler-Maruyama scheme. We then show that the
algorithm converges in law, and in the special 1-dimensional case we also
get a rate of convergence.
This talk is based on a joint work with T. De Angelis and M. Germain.
15.40-16:10 coffee break
16:10-16:50 Elena Vigna
(ESOMAS , University of Leeds)
Title: On time consistency for mean-variance portfolio selection
Abstract: This talk addresses a comparison between different approaches to
time inconsistency for the mean-variance portfolio selection problem. We
define a suitable intertemporal preferences-driven reward and use it to
compare the three possible approaches to time inconsistency for the
mean-variance portfolio selection problem over $[t_0,T]$: precommitment
approach, consistent planning or game theoretical approach, and dynamically
optimal approach. We find that the precommitment strategy beats the other
strategies if the investor only cares at the view point at time $t_0$ and
is not concerned to be time-inconsistent in $(t_0,T)$; the consistent
planning strategy dominates the dynamically optimal strategy until a time
point $t^*\in(t_0,T)$ and is dominated by the dynamically optimal strategy
from $t^*$ onwards.
16:50-17:30 Cristina Zucca
(Dept. of Mathematics, University of Torino)
Title: Inverse First Passage Time problem for diffusions
Abstract: In several applications the dynamics of the variables of interest
is described via suitable stochastic processes constrained by boundaries
and the focus is on the first passage time (FPT). This is the direct FPT
problem. However, there are also instances when the underlying stochastic
process is assigned, one knows or estimates the FPT distribution and wishes
to determine the corresponding boundary shape. This is the inverse first
passage time (IFPT) problem. Here we study this problem in the case of one
dimensional diffusion process constrained by a single boundary or two
boundaries. We also extend the IFPT method to multivariate Gauss-Markov
processes and we investigate the boundary shape corresponding to given FPT
distributions for suitable choices of the parameters. Special attention is
given to the Integrated Brownian motion and the two-dimensional
Ornstein-Uhlenbeck process. Some examples of applications of the proposed
methods will be illustrated.
The participation is free. Please, share this information with people
potentially interested.
--
%-------------------------------------------------------
Elvira Di Nardo
Dept. Mathematics "G. Peano"
University of Torino
Via Carlo Alberto 10
10123 Torino, Italia
tel. +39 0116702862
fax +39 0116702878
http://www.elviradinardo.it
%-------------------------------------------------------
<http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_cam…>
Mail
priva di virus. www.avg.com
<http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_cam…>
<#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>
Cari tutti,
lunedì 25 marzo presso la Sala Seminari del Dipartimento di Matematica dell'Università degli studi di Pisa si terranno i seguenti seminari:
(Dear all, on Monday, March 25th, the following two talks will take place in Sala Seminari, Dipartimento di Matematica, University of Pisa:)
ORE 14:00 -- Stefano Pagliarani (Università degli studi di Udine)
**Contraction methods for a class of McKean-Vlasov (mean-field) SDEs with jumps.**
ORE 15:00 -- Martin Saal (University of Darmstadt)
**White noise solutions for (m)SQG**
Tutti gli interessati sono invitati a partecipare.
###
Abstract S. Pagliarani:
We consider two prototype classes of McKean-Vlasov (mean-field) SDEs with
jumps.
In the first case, the coefficient is assumed to be affine in the
state-variable, only measurable in the law, and the dynamics allow for Lévy
jumps. We study the equivalent functional fixed-point equation for the
unknown time-dependent coefficients of the associated Markovian SDE. By
proving a contraction property for the functional map in a suitable normed
space, we infer existence and uniqueness results for the MK-V SDE, and
derive a discretized Picard iteration method that approximates the law of
the solution. Numerical illustrations show the effectiveness of the method,
which appears to be appropriate to handle multi-dimensional settings. We
finally describe possible extensions and generalizations to more general
settings.
The second class of MKV SDEs that we consider allows for self-exicitng
jumps, which amounts to having jumps through hitting the boundary in the
equivalent large particle system. The corresponding PDE problem is a
particular instance of free-boundary problems known as supercooled Stefan-like
problems. We write a Volterra equation for the free boundary and prove
contraction results that are useful to determine the properties of
the solution and to provide convergent numerical schemes.
Abstract M. Saal:
The inviscid surface quasigeostrophic equation (SQG) describes (roughly
speaking) the temperature in a rapidly rotating stratified fluid which is
transported by the velocity field. The velocity field is connected to the
temperature via Riesz-transform, which are singular integral operators. It
has applications in both meteorological and oceanic flows, while in
mathematics it is often used as a toy model for the 3D Euler equations due
to some structural similarities of these equations.
We give a brief overview on versions of the SQG equation and of the known
mathematical results. For a modified version (mSQG) with a smoother
velocity field, which links the SQG equation to the vorticity formulation
of the 2D Euler equations, we will show that by using a special symmetry in
the kernel a white noise solution to mSQG can be constructed. Finally, we
give some comments on the difficulties of our approach in the case of SQG
itself.
--
Dario Trevisan,
Università degli Studi di Pisa,
Dipartimento di Matematica,
Largo Bruno Pontecorvo 5,
56127 - Pisa (PI) Italy
telephone: (+39) 050 2213832
mobile: (+39) 331 2899761
Skype: dario-trevisan
e-mail: dario.trevisan AT unipi.it
webpage: http://people.dm.unipi.it/trevisan/
Bando Ricercatore art. 24, comma 3, lett. a)
13/D4 - Metodi matematici dell'economia e delle scienze attuariali e
finanziarie
Pubblicato sulla Gazzetta Ufficiale in data 15 marzo 2019
Settore scientifico-disciplinare SECS-S/06 - Metodi matematici
dell'economia e delle scienze attuariali e finanziarie, presso il
Dipartimento di Economia e Finanza della Luiss Libera Università
Internazionale degli Studi Sociali Guido Carli.
Codice concorso DEF-RIC-01/2019
Scadenza: 29 aprile 2019 - ore 14:00 Central European Summer Time (CEST)
UTC+2
https://www.luiss.it/sites/www.luiss.it/files/Bando_7.pdf
*******************************************************
Marco Scarsini
Dipartimento di Economia e Finanza
Luiss
Viale Romania 32
00197 Roma, ITALY
URL: http://docenti.luiss.it/scarsini/
Buongiorno
Lunedì 1 aprile, ore 10:30-13:00, aula B, Dipartimento di Matematica La
Sapienza
ci sara' il primo incontro del corso di dottorato di Fabio Toninelli (in
cui verra' anche stabilito l'orario definitivo).
Il corso si svolgerà durante il mese di aprile.
sotto trovate dettagli del corso.
saluti
alessandra faggionato
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Fabio Toninelli (University Lyon 1)
The dimer model: equilibrium and non-equilibrium aspects
Abstract.
This course focuses on various mathematical aspects of lattice dimer
models. These are very classical two-dimensional statistical mechanics
models, that are exactly solvable in some sense (Kasteleyn, 1961):
partition function and correlations can be computed in determinantal form.
Recently there has been a new wave of interest in dimer models, both in
probability, combinatorics and mathematical physics. One reason is that
these models, as well as other two-dimensional critical models, exhibit
conformal invariance
properties. Another interesting aspect is that they allow to obtain very
nice Markov dynamics of two-dimensional interfaces, whose large-scale
dynamical behavior can be studied.
Detailed contents:
• Kasteleyn theory (partition functions, correlations, determinantal
properties)
• correlations and representation determinantale
• thermodynamic limit and ergodic Gibbs measures
• height fluctuations and massless Gaussian field
• dynamics of dimer models: mixing time and hydrodynamic limits.
References :
• R. Kenyon, Lectures on dimers, arXiv:0910.3129.
• F. Toninelli, Lecture notes on the dimer model,
http://math.univ-lyon1.fr/homes-www/toninelli/noteDimeri.pdf--
*************************************************
Prof. Alessandra Faggionato
http://www1.mat.uniroma1.it/~faggionato/
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
Office 5, Phone (0039) 06 49913252
*************************************************
(please disregard the other message, this one is correct)
We are pleased to announce the
TWELFTHTH EUROPEAN SUMMER SCHOOL IN FINANCIAL MATHEMATICS
that which will be held at the University of Padova, September 2 - 6,
2019.
The European Summer School in Financial Mathematics aims at bringing together
the most talented young researchers in the field, looking at the very young who
only just started their PhD studies.
The Summer School is centered around the two courses:
- Gilles Pages, Benedikt Wilbertz: "Numerical Probability"
- Mark Podolskij, Roberto Reno': "High Frequency Data"
For schedule, registration and application for financial support, see:
https://www.math.unipd.it/~vargiolu/ESSFM/
On behalf of the organizing committee
Tiziano Vargiolu
--------------------------------------------------------------------------
Tiziano Vargiolu
Dipartimento di Matematica Phone: +39 049 8271383
Universita' di Padova Fax: +39 049 8271428
Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it
I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu
--------------------------------------------------------------------------
We are pleased to announce the
TWELFTHTH EUROPEAN SUMMER SCHOOL IN FINANCIAL MATHEMATICS
that which will be held in Vienna, University of Padova, September 2 - 6,
2019.
The European Summer School in Financial Mathematics aims at bringing together
the most talented young researchers in the field, looking at the very young who
only just started their PhD studies.
The Summer School is centered around the two courses:
- Gilles Pages, Benedikt Wilbertz: "Numerical Probability"
- Mark Podolskij, Roberto Reno': "High Frequency Data"
For schedule, registration and application for financial support, see:
https://www.math.unipd.it/~vargiolu/ESSFM/
On behalf of the organizing committee
Tiziano Vargiolu
--------------------------------------------------------------------------
Tiziano Vargiolu
Dipartimento di Matematica Phone: +39 049 8271383
Universita' di Padova Fax: +39 049 8271428
Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it
I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu
--------------------------------------------------------------------------