Συνέδρια, Ημερίδες, Ομιλίες, Διαλέξεις Διακεκριμένων Ομιλητών

ΑΙ@AUEB talk (hybrid presentation)
Tuesday, 22 November 16:15-17:00 (Greek time)

and virtually via MS Teams:

https://teams.microsoft.com/l/meetup-join/19%3aOiYUJgd5vTDTv9p0FnXvTdZ9TTZxIBRHwZzEpD02P-Y1%40thread.tacv2/1668589269563?context=%7b%22Tid%22%3a%22ad5ba4a2-7857-4ea1-895e-b3d5207a174f%22%2c%22Oid%22%3a%225b49c8b5-6801-409c-a8f8-6e18215b3a08%22%7d

Room: T106, Troias building

Speakers: Konstantina Dritsa, John Pavlopoulos, Panos Louridas

Title: “What we Talk about When we Talk about Politics"

Abstract:

How does the meaning of words change over time? Methods in Natural Language Processing allow us to study the semantic shift of language elements, opening up a window onto language change. To this end, we curated a dataset of the Greek Parliament Proceedings that extends chronologically from 1989 up to 2020. It consists of more than 1 million speeches with extensive metadata, extracted from 5,355 parliamentary record files. The dataset can be used for both computational linguistics and political analysis-ideally, combining the two. We present such an application, showing (i) how the dataset can be used to study the change of word usage through time, (ii) between significant historical events and political parties, (iii) by evaluating and employing algorithms for detecting semantic shifts. The presentation is based on a paper that was accepted at the NeurIPS 2022 conference Track on Datasets and Benchmarks.

To subscribe to the mailing list of AI@AUEB, send a message (with any subject and body) to ai_meetings-subscribe@lists.aueb.gr. If you have an AUEB account and want to view all scheduled AI @ AUEB Lecture Series in your MS Teams calendar, subscribe to the "AI@AUEB" group on MS Teams
(code: r2dtl45). Team members can also send text messages (chat) to other team members.

If you are an AI researcher or practitioner, please consider becoming a member of the Hellenic Artificial Intelligence Society (EETN, http://www.eetn.gr/en/).

The 19th e-Summer School in Risk Finance and Stochastics, 28 - 30 September 2022 is organized by AUEB (Departments of Accounting & Finance, Business Administration, Statistics) in collaboration with the University of the Aegean (Departments of Statistics & Actuarial-Financial Mathematics, Financial & Management Engineering).

Due to the current situation concerning the COVID 19 pandemic, the standard operation of the Summer School would be difficult, if not impossible. However, trying to stay loyal to our usual annual meeting, we decided to transform the school into e-mode, thus enabling distant participation. Surely, we will lose the joy of meeting, interacting and exchanging views, however, we hope that next year we will be able to get back to our usual modus operandi.

As always, we will have the pleasure and honour of having with us distinguished academics in the field.

Details concerning the keynote speakers as well as the program of the school will be announced after the 15th of September.

The school is addressed to postgraduate students, PhD students, postdocs, researchers and practitioners whoa are interested to stay informed about the latest developments in the field of stochastic finance.

There is no fee for attending the school, but interested participants should send an e-mail of intention to participate to masterst@aueb.gr , stating their name, capacity, affiliation and including a short cv (no more than 10 lines), by 15 September, so that the selection procedure can proceed on time.

The maximum number of participants will be 30 and among equivalent participants priority will be given to those who applied first.

The Organizing Committee

I. Baltas (Aegean),
G. Kouretas (AUEB),
G. Papayiannis (HNA),
A. Tsekrekos (AUEB),
S. Vakeroudis (AUEB)
S. Xanthopoulos(Aegean),
A.N. Yannacopoulos (AUEB)
A. Zimbidis (AUEB)

AUEB-NKUA-Indiana Conference in Biostatistics & Health Analytics

4-6 July 2022, Aegina Island

We are pleased to announce the first AUEB-NKUA-Indiana Conference on Biostatistics & Health Analytics. 

​This is within the broader collaboration between the The Fairbanks School of Public Health, the School of Public Health in Bloomington of Indiana University and the Department of Statistics of Athens University of Economics and Business and the National and Kapodistrian University of Athens School of Medicine (NKUA). 

More info: https://aueb-analytics.wixsite.com/biostats-conf

Registration: https://aueb-analytics.wixsite.com/biostats-conf/registration

ΑΙ@AUEB talk (hybrid presentation)

Tuesday, 28 June 17.15 (Greek time)

Room: Ground floor, Troias building

and virtually via MS Teams:

https://teams.microsoft.com/l/meetup-join/19%3aOiYUJgd5vTDTv9p0FnXvTdZ9TTZxIBRHwZzEpD02P-Y1%40thread.tacv2/1653150802937?context=%7b%22Tid%22%3a%22ad5ba4a2-7857-4ea1-895e-b3d5207a174f%22%2c%22Oid%22%3a%225b49c8b5-6801-409c-a8f8-6e18215b3a08%22%7d

Speaker: Stratis Ioannidis, Northeastern University, USA

Title: Spectral Algorithms for Ranking Regression

Abstract: We consider learning from rankings, i.e., learning from a dataset containing subsets of samples ranked w.r.t. their relative order. For example, a medical expert presented with patient records can order them w.r.t. the relative severity of a disease. Rankings are often less noisy than class labels: human experts disagreeing when generating class judgments often exhibit reduced variability when asked to compare samples instead. Rankings are also more informative, as they capture both inter and intra-class relationships; the latter are not revealed via class labels alone. Nevertheless, the combinatorial nature of rankings increases the computational cost of training significantly. We propose spectral algorithms to accelerate training in this ranking regression setting; our main technical contribution is to show that the Plackett-Luce negative log-likelihood augmented with a proximal penalty has stationary points that satisfy the balance equations of a Markov Chain. This observation yields fast spectral algorithms for ranking regression for both shallow and deep neural network regression models.
Compared to state-of-the-art siamese networks, our resulting algorithms are up to 175 times faster and attain better predictions by up to 26%
Top-1 Accuracy and 6% Kendall-Tau correlation over five real-life ranking datasets.

Bio: https://ece.northeastern.edu/fac-ece/ioannidis/bio.html

We are happy to announce the next (remote) AI@AUEB talk:

Date/time: Tuesday 7 June 2022, 17:15-18:00 (Greek time)
Title: "On new variants of multiplicative weights update and mirror descent methods for zero-sum games"
Speaker: Vangelis Markakis (http://pages.cs.aueb.gr/~markakis/)

Abstract:

Our work focuses on extra gradient learning algorithms for finding Nash equilibria in bilinear zero-sum games. Such algorithms tend to exhibit a stronger performance than simple gradient methods, by having an intermediate and a final gradient step in each iteration. In this talk, we will first give an overview of recently proposed learning algorithms in this context, such as the Optimistic Multiplicative Weights Update method (by Daskalakis, Panageas, 2019) and Optimistic Mirror Descent (by Mertikopoulos et al. 2019). We will then propose a new algorithm, which can be formally considered as a variant of Optimistic Mirror Descent, using a large learning rate for the intermediate gradient step (and interpreted as computing approximate best response strategies against the profile of the previous iteration). Our main theoretical result is that the method guarantees last-iterate convergence to an equilibrium. In particular, we show that the algorithm reaches first an approximate Nash equilibrium, by decreasing the Kullback-Leibler divergence of each iterate, until the method becomes a contracting map, and converges to the exact equilibrium. Furthermore, we present experimental comparisons against the optimistic multiplicative weights update method, and show that our algorithm has significant practical potential since it offers substantial gains in terms of accelerated convergence.

Paper: https://arxiv.org/abs/2106.03579

MS Teams link:

https://teams.microsoft.com/l/meetup-join/19%3aOiYUJgd5vTDTv9p0FnXvTdZ9TTZxIBRHwZzEpD02P-Y1%40thread.tacv2/1653150802937?context=%7b%22Tid%22%3a%22ad5ba4a2-7857-4ea1-895e-b3d5207a174f%22%2c%22Oid%22%3a%225b49c8b5-6801-409c-a8f8-6e18215b3a08%22%7d

ΑΙ@AUEB Lecture Series aim is to create collaborations, both between AUEB’s Departments and with external bodies and organizations, promoting the work of AUEB members, further strengthening existing collaborations, and possibly attracting additional resources.

To subscribe to the mailing list of AI@AUEB, send a message (with any subject and body) to ai_meetings-subscribe@lists.aueb.gr. To unsubscribe, send a  message (with any subject and body) to ai_meetings-unsubscribe@lists.aueb.gr. Only the organizers of AI@AUEB can post messages to the mailing list.

If you have an AUEB account, you can also subscribe to the MS Teams team "AI@AUEB" (team code: r2dtl45). This way you will be able to see the scheduled AI@AUEB talks on your MS Teams calendar. You will also be able to send messages to the members of the team.

The Sports Analytics Group of the Department of Statistics of Athens University of Economics & Business (AUEB) announces the short course on

BASKETBALL DATA SCIENCE

as a part of the

6th AUEB Sports Analytics Workshop (AUEB SAW2022)

​The course will be delivered by Professor Paola Zuccolotto and Professor Marica Manisera from University of Brescia, authors of the best seller book with the same title.

The course will be  hosted in a hybrid form (virtual and live) at AUEB, Athens (Greece) on the evenings of Monday 23rd and Tuesday 24th of May 2022 (Day 1 ~12.00-16.00, Day 2 14.00-18.00, Greek time, EEST (Eastern European Summer Time), GMT+3).

Course Program

DAY 1

12.00-16.00 Monday 23/5/2022 (Hybrid)

•             Data science in basketball

•             Basketball data

•             Introduction to the R package BasketballAnalyzeR

•             Basic statistical analyses using BasketballAnalyzeR (1/2)

DAY 2

14.00-18.00 Tuesday 24/5/2022 (Hybrid)

•             Basic statistical analyses using BasketballAnalyzeR (2/2)

•             Discovering Patterns in data

•             Finding groups in data

Bibliography

•    Paola Zuccolotto and Marica Manisera, Basketball Data Science. With Applications in R. CRC Press, 2020.

•    Marco Sandri, Paola Zuccolotto, Marica Manisera (2020), BasketballAnalyzeR: Analysis and Visualization of Basketball Data. R package version 0.5.0. https://CRAN.R-project.org/package=BasketballAnalyzeR

•    Marco Sandri, The R package BasketballAnalyzeR, in: Zuccolotto P. and Manisera M., Basketball Data Science, 2020, Chapter 6.

•    Paola Zuccolotto, Marica Manisera, Marco Sandri (2021), Alley‐oop! Basketball analytics in R, Significance, 26-31 https://doi.org/10.1111/1740-9713.01507

All participants must bring their own laptops fully charged with R and the R package BasketballAnalyzeR already installed.

How to install it: https://bdsports.unibs.it/basketballanalyzer/

For any problem, please write to basketball.analyzer.help@gmail.com

All course participants will receive a certificate of attendance if they attend in both four-hour sessions.

Early registration will be available until Sunday 15 May 2022.

Web-page of Basketball Data Science course@SAW2022 is available here https://aueb-analytics.wixsite.com/saw2022/short-course

Apply now here https://aueb-analytics.wixsite.com/saw2022/registration

Limited positions are available for live attendance at the facilities of AUEB.  

The Sports Analytics Group of the Department of Statistics of Athens University of Economics & Business (AUEB) announces the

6th AUEB Sports Analytics Workshop (AUEB SAW2022)

​which will be  hosted in a hybrid form (virtual and live) AUEB, Athens (Greece) on the evenings of Thursday 26th and Friday 27th of May 2022 (~Day 1 ~17.00-21.30, Day 2 14.00-21.00, Greek time, EEST (Eastern European Summer Time), GMT+3).

The workshop will be also accompanied by a short course on Basketball Data Science (23-24 May 2022). The short course will be held in hybrid form with a limited number of places available at the facilities of AUEB.

The workshop is dedicated to the memory of Professor Stefane Kesenne, World class Sports Economist, Pioneer in the area, mentor and a good friend of Sports Analytics Group.

The Series of Sports Analytics Workshop was originally organized because of professor Kesenne.

Topics of the workshop include:

• Mathematical and physical models in sports
• Performance measures and models
• Optimization of sports performance
• Statistics and probability models
• Match outcome models
• Competitive strategy
• Game theoretical models
• Optimal tournament design and scheduling,
• Decision support systems
• Econometrics in sport
• Analysis of sporting technologies
• Computationally intensive methods
• Financial valuation in sport

Early registration will be available until Sunday 15 May 2022.

Webpage of SAW2022 is available here https://aueb-analytics.wixsite.com/saw2022.

Apply now here https://aueb-analytics.wixsite.com/saw2022/registration. 

Limited positions are available for live attendance at the facilities of AUEB. 

For the 18th consecutive year, the students of the Department of Management Science and Technology of the Athens University of Economics and Business, under the guidance and scientific supervision of the members of their faculty and the chief scientific officer, Assistant Professor, Emmanuel Zachariades, organise the Scientific Student Conference, on "Digital Transformation", on Thursday, May 19, 2022.

Tickets are available and you may secure your participation using the following link: https://www.ticketservices.gr/event/18o-foititiko-synedrio-/

For more information, click HERE

The Department of International and European Economic Studies, AUEB is organizing the scientific event on the effects of Climate Change on the Economy and the prospects of the European Economy.

The event is held in honor of Professors of the Department Mr. Nikolaos Christodoulakis and Anastasios Xepapadeas, on Friday, May 6^th from 09:30 - 18:30 in room T202 at 2 Troias Street, AUEB and online at the following links:

Morning session: 09.30 - 15.00 - zoom link [Professor Nikolaos Christodoulakis]
Afternoon session: 15.00 - 18.30 - zoom link [Professor Anastasios Xepapadeas]

Please find attached the programme of the event:

https://www.aueb.gr/sites/default/files/aueb/pdf_20220429_132455_0000.pdf

Athens University of Economics & Business

Postgraduate Program in International Negotiations

«The Negotiation Challenge 2022»

The International Scientific Conference and Negotiation Competition "The Negotiation Challenge 2022" is organized for the first time in Greece, on 28, 29 and 30 April 2022, by the Postgraduate Program in International Negotiations, Department of International and European Economic Studies at the Athens University of Economics & Business.

The Conference will open on Thursday, April 28 at the Athens University of Economics and Business, with a series of academic presentations and discussions on different aspects of the negotiations.

An integral component of the Conference is the Open Negotiation Workshop and the Round Table discussion on "Greece and The Greek Bailout Negotiations" on Thursday, April 28 at 18:15, at the Technopolis of the Municipality of Athens (Station 1 - Amphitheater "Miltiadis Evert").

The Deputy Minister of Labour and Social Affairs, Professor of Economics at AUEB Panos Tsakloglou, the President of Eurobank Georgios Zanias, Professor of European Policy and Economics at AUEB, the  General Manager and Director General of ELIAMEP and Advisor at the Bank of Greece George Pagoulatos, and the chief Researcher at the John F. Kennedy School of Government, at Harvard University, George Chouliarakis will participate in the discussions.

The Negotiation Challenge 2022 included three online rounds of qualifiers, which took place online in March with the participation of 50 teams and 150 students from leading foreign Universities of Economics, Law, and Business Administration.

The top ten teams that will qualify for the finals will compete in Athens on April 29 and 30, 2022. Among them, students from the following Universities: UC Berkeley Law, McGill University, American University Washington College of Law, William & Mary Law School, UiT The Arctic University of Norway, University of Twente, HHL - Leipzig Graduate School of Management, Charles University, Nalsar University of Law, and two teams from the Athens University of Economics and Business.

To participate in the event, use the link  https://bit.ly/3O4mygg

(Applications submitted till Apri 26^th)