Dear Colleagues,
We would like to invite you to the following SPASS seminar, jointly
organized by UniPi, SNS, UniFi and UniSi (abstract below):
*Well-posedness and stationary states for a crowded active Brownian system
with size-exclusion*
by *Simon Michaël Schulz* (Scuola Normale Superiore)
The seminar will take place on *TUE, 24.10.2023* at *14:00 CET *in Aula
Seminari, Dipartimento di Matematica, University of Pisa and streamed
online at the link below.
The organizers,
A. Agazzi, G. Bet, A. Caraceni, F. Grotto, G. Zanco
https://sites.google.com/unipi.it/spass
<https://www.google.com/url?q=https://sites.google.com/unipi.it/spass&source…>
-------------------------------------------
Abstract: We prove the existence of solutions to a non-linear, non-local,
degenerate equation which was previously derived as the formal hydrodynamic
limit of an active Brownian particle system, where the particles are
endowed with a position and an orientation. This equation incorporates
diffusion in both the spatial and angular coordinates, as well as a
non-linear non-local drift term, which depends on the angle-independent
density. The spatial diffusion is non-linear degenerate and also comprises
diffusion of the angle-independent density, which one may interpret as
cross-diffusion with infinitely many species. Our proof relies on
interpreting the equation as the perturbation of a gradient flow in a
Wasserstein-type space. It generalizes the boundedness-by-entropy method to
this setting and makes use of a gain of integrability due to the angular
diffusion. We also prove uniqueness in the particular case where the
non-local drift term is null, and provide existence and uniqueness results
for stationary equilibrium solutions. This is joint work with Martin
Burger.
Gentili colleghe/i,
inoltro un invito a manifestare interesse per posizioni da assegnista di ricerca che verranno bandite a breve dall’Università Bocconi.
Cordiali saluti,
Antonio Lijoi
------------
** Call for expression of interest **
The Bocconi Institute for Data Science and Analytics (BIDSA) will soon open two post-doctoral positions on Bayesian Nonparametrics, under the supervision of Antonio Lijoi and Igor Pruenster. The start date should ideally be in early 2024 but there is some space for flexibility. Successful applicants will be based at the BayesLab (https://bayeslab.unibocconi.eu), a BIDSA research unit focusing on Bayesian learning.
Potentially interested candidates are strongly encouraged to contact Antonio Lijoi (antonio.lijoi(a)unibocconi.it) or Igor Pruenster (igor(a)unibocconi.it) for further details, possibly before November 1, 2023.
Dear all,
we are pleased to invite you to the two seminars organised by the
Department of Statistical Sciences, Sapienza University of Rome, which can
be followed via Zoom.
*Location:* Room n.24, 4th floor, Edificio CU002 (Scienze Statistiche)
*Zoom: *
https://uniroma1.zoom.us/j/84380852385?pwd=RDBrcVdvelRMM0VmczlXYWgwL2pPZz09
*Time:* *Monday 23th of October, at 10.30*
*Speaker: *Josè Luis Da Silva (University of Madeira - Portugal)
*Title:* A Biorthogonal Approach to Infinite Dimensional Fractional Poisson
Measures
*Abstract*: We use a biorthogonal approach to the analysis of the infinite
dimensional fractional Poisson measure. The complex Hilbert space w.r.t.
these measures are described in terms of a proper system of generalized
Appell polynomials. The kernels of the monomials may be expressed in terms
of the Stirling operators of the first and second kind as well as the
falling factorials in infinite dimensions. Associated to this system of
Appell polynomials is the dual Appell system which is suitable to describe
generalised functions. We then construct and characterize test and
generalised functions in terms of integral transform as entire functions.
*Time:* *Tuesday 24th of October, at 14.30*
*Speaker: *Tobias Kuna (University of L'Aquila)
*Title:* An Intrinsic Characterization of Moment Functionals in the Compact
Case
*Abstract:*
We discuss characterizations of linear functionals $L$ on an unital
commutative real algebra $A$ which can be represented as integral w.r.t. a
compactly supported Radon measure on the character space of $A$. We give a
characterization by the following three types of conditions: bounds on the
growth of $(L(a^n))_n$, non-negativity of $L$ on Archimedean quadratic
models, and continuity of $L$ w.r.t. submultiplicative seminorms on $A$. We
will relate each of these conditions to a different technique solving this
instance of the moment problem. Surprisingly, we can also provide an exact
characterization of the compact support of the representing Radon measure
purely in terms of $L$.
This is a joint work arXiv:2204.05630 with Maria Infusino, Salma Kuhlmann
and Patrick Michalski.
Best regards.
Luisa Beghin
***************************************************************
Luisa Beghin
Dipartimento di Scienze Statistiche
Fac. Ingegneria dell'Informazione, Informatica e Statistica
"SAPIENZA" Università di Roma
Piazzale Aldo Moro 5, 00185 Roma
T (+39) 06 49910543 F (+39) 06 4959241
https://sites.google.com/site/luisabeghin/
*****************************************************************
--
**Fai crescere le giovani ricercatrici e i giovani ricercatori*
**con il 5
per mille alla Sapienza
*Scrivi il codice fiscale dell'Università
*80209930587
Cinque per mille <https://www.uniroma1.it/it/node/23149>*
Dear all,
It is my pleasure to announce an upcoming Webinar on Stochastic Fluid
Dynamics, organized by the YoungStatS initiative, to take place on
15th November 2023 at 15:00 CET.
There will be four young researchers speaking (Diego Alonso-Orán,
Daniel Goodair, Erwin Luesink, Milo Viviani), moderated by Umberto
Pappalettera.
All further information, and the link to register to attend
(registration is free but mandatory), can be found here:
https://youngstats.github.io/post/2023/10/14/stochastic-fluid-dynamics/
Hope to see you there!
Best,
Lucio
Care colleghe e colleghi,
Vi annunciamo che Lunedì 20 Novembre si terrà la dodicesima giornata di seminari:
AN AUTUMN DAY IN PROBABILITY AND STATISTICAL PHYSICS
University of Florence
Monday 20 November 2023
Lecturers: Christina Goldschmidt (Oxford) and Rajat Subhra Hazra (Leiden)
Location: Sala Tricerri, Dipartimento di Matematica e Informatica Ulisse Dini, viale Morgagni 67/a, Firenze, Firenze
Ricordiamo che ciascun oratore farà una lezione introduttiva e divulgativa di 45 minuti pensata proprio per i non esperti, seguita da altri 45 minuti di tipo seminario (vedi programma). Maggiori informazioni, inclusi gli abstract dei talk, sono reperibili alla pagina web dell’evento<https://sites.google.com/unifi.it/florence-probability-group/home/days-in-p…>.
Note pratiche: a coloro che fossero interessati (per una migliore organizzazione) chiediamo di compilare il seguente Google Form per indicare l'intenzione di partecipare alla giornata e in particolare al pranzo: https://docs.google.com/forms/d/e/1FAIpQLSdd9c4Oud-o_taW4ygl767bKWm1YhM9-x5…
Vi aspettiamo numerosi e vi preghiamo di diffondere l’annuncio con chi pensiate possa essere interessato/a, in particolare giovani ricercatrici e ricercatori!
Gianmarco Bet e Luisa Andreis
Scientific advisory committee: F. Caravenna, E.N.M. Cirillo, F. Colomo, P. Dai Pra, A. De Masi, C. Giardina`, R. Livi, F. Martinelli, I.G. Minelli, B. Scoppola, E. Scoppola.
PROGRAMMA
Prof. Christina Goldschmidt (University of Oxford)
Title: Trees and snakes
Prof. Rajat Suburra Hazra (University of Leiden)
Title: The membrane model
10:30-11:00 Welcome coffee
11.00-11.45 Introductory lecture: Goldschmidt
11.45-12.15 Break
12.15-13.00 Seminar: Goldschmidt
13.00-14.30 Lunch
14.30-15.15 Introductory lecture: Hazra
15.15-15.45 Break
15.45-16.30 Seminar: Hazra
Trovate qui<https://drive.google.com/file/d/1GHmrRKm53NBGzkF0AHdQtbE8dlMnI4k6/view> il poster dell’evento.
-------------------------------------------------------
Luisa Andreis
-------------------------------------------------------
RTD-B
Dipartimento di Matematica
Politecnico di Milano
Personal webpage: https://sites.google.com/view/luisaandreis/home
Email: luisa.andreis(a)polimi.it<mailto:luisa.andreis@polimi.it>
Dear all,
we are happy to announce the:
*31st World Meeting of the International Society for Bayesian Analysis
(ISBA)*
*July 1-7, 2024, Ca' Foscari University of Venice, Venice, Italy*
The World Meeting of the International Society for Bayesian Analysis (ISBA)
will take place at Ca' Foscari University of Venice on July 1-7, 2024 (
http://www.unive.it/isba2024) and will be hosted by the Department of
Economics and co-organized with the Venice centre in Economic and Risk
Analytics (VERA, https://unive.it/vera). The meeting aims to bring together
the international statistical community of researchers and professionals
who develop Bayesian methods and apply them to challenging problems in
different fields, ranging from economics, and finance, to business,
industry, biostatistics, pharmaceutical statistics, environmental
statistics, etc.
*Lectures*: Dani Gamerman (Universidade Federal do Rio de Janeiro), Andrew
Gelman (Columbia University), Kerrie Mengersen (Queensland University of
Technology), Marina Vannucci (Rice University), Michael Jordan (University
of California, Berkeley), Stephanie van der Pas (Amsterdam University
Medical Center).
*Keynote Speakers*: Antonietta Mira (USI and Università degli Studi
dell'Insubria), Omiros Papaspiliopoulos (Bocconi University), Alexandra
Schmidt (McGill University), Johannes Schmidt-Hieber (University of Twente).
*Deadline for submitting contributed talks and posters: November 17, 2023. *
Complete details regarding registration and accommodations will be
available at the conference’s website at http://www.unive.it/isba2024
*Organizing Committee*
Roberto Casarin (Chair), Ca’ Foscari University of Venice
Emanuele Aliverti, University of Padua
Isadora Antoniano Villalobos, Ca’ Foscari University of Venice
Monica Billio, Ca’ Foscari University of Venice
Guido Consonni, Catholic University of Milan
Stefano Favaro, University of Turin
Brunero Liseo, Sapienza University of Rome
Sonia Petrone, Bocconi University of Milan
Christian P. Robert, Université Paris Dauphine
Stefano Tonellato, Ca’ Foscari University of Venice
Laura Ventura, University of Padua
*Scientific Committee*
Sinead Williamson (Chair), University of Texas at Austin/Apple
Sergios Agapiou, University of Cyprus
Trevor Campbell, University of British Columbia
Roberto Casarin, Ca’ Foscari University of Venice
Luis Mauricio Castro Cepero, Pontificia Universidad Católica de Chile
Christopher Drovandi, Queensland University of Technology
Daniele Durante, Bocconi University
Hedibert Freitas Lopes, Institute of Educatio and Research
Emtiyaz Khan, RIKEN Center
Matthias Katzfuss, University of Wisconsin-Madison
Juhee Lee, University of California Santa Cruz
David Nott, National University of Singapore
Stéphanie van der Pas, Amsterdam UMC
Bruno Sansó, University of California
Mike West, Duke University
--
Roberto Casarin, PhD
Professor of Econometrics
Ca' Foscari University of Venice
San Giobbe 873/b - 30121 Venezia, Italy
http://sites.google.com/view/robertocasarin/https://www.unive.it/vera <https://www.unive.it/isba2024>
https://www.unive.it/isba2024
Vi prego di fare circolare il seguente avviso di bandi di assegni di ricerca SECS/S01 tra i potenziali interessati
Bando di selezione per il conferimento di assegni di ricerca per lo svolgimento del programma di ricerca denominato: “STATISTICAL LEARNING PER IL PROGETTO GRINS – GROWING RESILIENT, INCLUSIVE AND SUSTAINABLE.WP2 PROGETTO GRINS – PNRR PE9 SPOKE7_2023_ASSEGNI_DMAT_14”
Responsabili: Prof. Piercesare Secchi, Prof.ssa Francesca Ieva
https://www.polimi.it/personale-docente/lavorare-al-politecnico/bandi-per-a…
Scadenza: 18-10-23
Colloquio: 25-10-23
***
Bando di selezione per il conferimento di assegni di ricerca per lo svolgimento del programma di ricerca denominato: “MODELLI E ANALISI PER DATI CLINICI PROVENIENTI DA PROGETTI DELLE RETI CARDIOLOGICA E NEUROLOGICA.ATTIVITÀ WG6 PROGETTO HEALTH BIG DATA-PROTOCOLLO DI INTESA CON ALLEANZA CONTRO IL CANCRO_2023_ASSEGNI_DMAT_12”
Responsabile: Prof.ssa Francesca Ieva
https://www.polimi.it/personale-docente/lavorare-al-politecnico/bandi-per-a…
Scadenza: 18-10-23
Colloquio: 26-10-23
——
Laura Maria Sangalli
MOX - Dipartimento di Matematica
Politecnico di Milano
Piazza Leonardo da Vinci 32
20133 Milano - Italy
(+39) 02 2399 4554
laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it>
https://sangalli.faculty.polimi.it
Dear all,
our next One World ABC Seminar www.warwick.ac.uk/oneworldabc<http://www.warwick.ac.uk/oneworldabc> is quickly approaching.
We are happy to inform you that our next OWABC speaker is Stefan Radev<https://faculty.rpi.edu/stefan-radev> (Rensselaer Polytechnic Institute, US), who will talk about "More expressive amortized Bayesian inference via joint learning and self-consistency?" on Thursday, the 26th October at 1pm UK time (please notice the different time!)
Abstract: We propose “jointly amortized neural approximation” (JANA) to simultaneously learn intractable likelihood functions and posterior densities arising in Bayesian surrogate modeling and simulation-based inference. To this end, we train three complementary networks in an end-to-end fashion: 1) a summary network to compress individual data points, sets, or time series into informative embedding vectors; 2) a posterior network to learn an amortized approximate posterior; and 3) a likelihood network to learn an amortized approximate likelihood. The interaction between these networks opens a new route to amortized marginal likelihood and posterior predictive estimation. Furthermore, we observe that we can increase the efficiency of amortized inference by leveraging the marginal likelihood as a proxy for the self-consistency of Bayes’ rule. Upon perfect approximation, the marginal likelihood is constant across all parameter values by definition. However, approximation error leads to undesirable variance in the marginal likelihood estimates across different parameter values. We formulate violations of this symmetry as a loss function applicable in both likelihood-based and simulation-based scenarios. We demonstrate the utility of these approaches on illustrative Bayesian models, including both simple examples and representative cases.
The talk will be streamed on MS Teams, and it can be joined via this link
https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZWQwZjg3NTktNjY4OS00…
or via
Meeting ID: 389 057 974 73
Passcode: H9uMjk
We're looking forward to seeing you next week,
best,
Massimiliano on the behalf of the OWABC Organisers
------
Dr. Massimiliano Tamborrino
Associate Professor
Department of Statistics
University of Warwick
https://warwick.ac.uk/tamborrino
Avviso di Seminario
il giorno 25 Ottobre 2023 alle ore 14:30
Anna Vidotto
Dipartimento di Matematica e Applicazioni
Università degli studi di Napoli FEDERICO II
terrà un seminario
dal Titolo: The Malliavin-Stein Approach and an Improved Second-Order
Poincaré Inequality.
Abstract: In this talk we will introduce the so-called Malliavin-Stein
approach for obtaining quantitative central limit theorems for
functionals of Gaussian fields, that this combination works admirably
well was discovered by Nourdin and Peccati in their seminal paper from
2009. Then we will present an improved version of the second-order
Gaussian Poincaré inequality, first introduced in Chatterjee (2009) and
Nourdin et al. (2009), and consequent applications.
Il seminario si terrà nella Sala Professori Primo livello al
Dipartimento di Matematica e Applicazioni, Università degli Studi di
Napoli FEDERICO II, Complesso di Monte Sant'Angelo, Via Cintia, Napoli.
Sarà anche possibile seguirlo online mediante Teams al seguente link:
https://teams.microsoft.com/l/meetup-join/19%3aMQ4RZDBo_0G-K_PHxKtktVYAczOG…
--
Enrica Pirozzi
Professore Associato di Probabilità e Statistica,
Dipartimento di Matematica e Applicazioni,
Università di Napoli FEDERICO II
Via Cintia, 80126, NAPOLI
https://www.docenti.unina.it/enrica.pirozzi
Dear all,
On Thursday, October 19th, at 14h00 (change of usual time!) in Aula Dal Passo at the Math Department of Roma Tor Vergata, RoMaDS (https://www.mat.uniroma2.it/~rds/about.php) will host the seminars
14h00 - Francesco D'Amore (Aalto University, Espoo)
"The Strong Lottery Ticker Hypothesis and the Random Subset Sum Problem”
Abstract: The Strong Lottery Ticket Hypothesis (SLTH) posits that randomly-initialized neural networks contain subnetworks (strong lottery tickets) that achieve competitive accuracy when compared to sufficiently small target networks, even those that have been trained. Empirical evidence for this phenomenon was first observed by Ramanujan et al. in 2020, spurring a line of theoretical research: Malach et al. (2020), Pensia et al. (2020), da Cunha et al. (2022), and Burkholz (2022) have analytically proved formulations of the SLTH in various neural network classes and under different hypotheses.
In this presentation, we provide an overview of the state-of-the-art theoretical research on the SLTH and its connection with the Random Subset Sum (RSS) problem in theoretical computer science. While previous works on the SLTH ensure that the strong lottery ticket can be obtained via unstructured pruning, we demonstrate how recent advances in the multidimensional generalization of the RSS problem can be leveraged to obtain forms of structured pruning. Additionally, we highlight how refining the RSS results would yield tighter formulations of the SLTH.
This presentation is based on a joint work with Arthur da Cunha and Emanuele Natale that will be presented at NeurIPS 2023.
15h00 - Isabella Ziccardi (Bocconi)
"Distributed Self-Stabilizing MIS Algorithms"
Abstract:
I will discuss self-stabilizing distributed algorithms that find a Maximal Independent Set in an n-vertex graph. These algorithms share the feature of utilizing randomization to break symmetry. I will compare them based on the following parameters: the number of states used by each node, the knowledge of the graph required by each node, and their stabilization time. The first three algorithms are obtained by reconsidering some existing algorithms and making them self-stabilizing by introducing additional states. The first algorithm gets along with three states, but each node must have knowledge of ∆, the maximum node degree. In the second algorithm, nodes only need to be aware of their degree, but each node v has O(∆(v)) states, where ∆(v) is the degree of v. The third algorithm also requires O(∆(v)) states for each node v, but it works in the restricted beeping communication model. All three algorithms stabilize in O(log n) rounds with high probability. Lastly, I will talk about two algorithms that aim to create self-stabilizing algorithms with a constant number of states while requiring no knowledge of the underlying graph. The first algorithm is a natural process that, despite its simplicity, has received limited attention in the literature. It stabilizes in O(polylog(n)) rounds for specific graph families but may exhibit slower convergence time on general graphs. The final algorithm is a modification of this simple process, that tries to fix the particular situations that slow down the convergence.
We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming:
https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw…"Tid"%3a"24c5be2a-d764-40c5-9975-82d08ae47d0e"%2c"Oid"%3a"650fc4a8-4cec-4bd2-87bc-90d134074fe6"} <https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw…>
The seminar is part of the Excellence Project MatMod@TOV.