SPONSORING OFFER

JuNE 24-282019

This year we organize the 3rd Data Science Summer School to continue the lively exchange, sharing and discovery of the latest advances of the field, with internationally renowned pro-fessors and experts of the area.

The summer school will take place from June 24 to June 28, 2019 at École polytechnique (Palaiseau). It is composed of tutorials, exhibition, poster sessions and cocktail.

The event provides opportunity for the participants from the academic and industrial world to share their expertise, the latest challenges and possible solutions in data science. The various networking facilities enable the participants to discuss their work and interest, meet with sponsors and launch collaborations.

The exhibition area will be set up during the first 3 days in the Grand Hall near the main amphitheater. The number of exhibition booths will be limited to 10.

LOCATION

Fees Master-2 students, PhD and Postdoc: 150 €Academics: 250 €Professionals: 1500 €

The registration fee includes courses, talks, special and poster sessions (the latter come with appetizer), coffee breaks, lunch, welcoming cocktail, banquet, shuttle bus option at the beginning and end of every day between Massy/Paris and the Polytechnique campus.

Statistics from 2018500 participants 290 students (MSc, PhD) & postdocs, 110 professionals41 experts (speakers, guests)13 in-depth tutorials34 countries of 6 continents200 institutions60 companies8 sponsors170 posters30% of women’s participation

2017 ParTIcIPanTsPhoto: C. Ayesta/DS3

THE EVENT

PRElIMINARy PROGRAM

The first day morning will be public - between 800 to 1000 people expected (including polytechnicians):

Talk by:• stéphane Mallat (collège de France): Mathematical mysteries of deep neural networks. 1 hour • Rémi Munos (Inria, Google DeepMind): Introduction to distributional reinforcement learning. 1 hour

The rest of the summer school is reserved for registered people.

DAy 1, 2 & 3Confirmed long tutorials• Francis BACH (Inria, ENS): Optimization for large-scale machine learning.• Rada MIHALCEA (University of Michigan): Computational sociolinguistics.• Ming YUAN (Columbia University): Low rank tensor methods for high dimensional data analysis.• Melanie ZEILINGER (ETH Zürich, University of Freiburg): Safe learning-based control.

Confirmed parallel sessions on «Health» and «Computer vision»• Danielle BELGRAVE (Microsoft Research, Cambridge, UK): Advances and challenges in machine learning for personalised healthcare.• David COHEN (APHP Hôpital La Pitié Salpêtrière): AI and computational approaches: Implications for deve-lopmental psychopathology.• Cordelia SCHMID (Inria): Action recognition.Poster session of participants selected by the organizing committee.

Exhibition / booths will be located near the lunch and coffee break area during the first 3 days.

DAy 4 & 5Confirmed in-depth tutorials with practical sessions• Diana BORSA (Google DeepMind): Shallow dive in deep reinforcement learning.• Bilal PIOT (Google DeepMind): Shallow dive in deep reinforcement learning.• Matthew B. BLASCHKO (KU Leuven): Hyper-parameter selection with bayesian optimization.• Volkan CEVHER (EPFL, Rice University): Mathematics of data: From theory to computation.• Olivier GRISEL (Inria): Introduction to deep learning with Keras.• Hamed HASSANI (University of Pennsylvania): Theory and applications of submodular optimization: From discrete to continuous and back.• Martin Jaggi (EPFL): Optimization for machine learning.• Olivier KOCH (Criteo): Classical algorithms and matrix factorization.• Mario LUCIC (Google Brain): Deep generative models. • Marcin MICHALSKI (Google Brain): Deep generative models.• Jonas PETERS (University of Copenhagen): Causality.• Bharath SRIPERUMBUDUR (Pennsylvania State University): Kernels: Theory and applications.• Flavien VASILE (Criteo): Neural networks and causal recommendation.• Sinead WILLIAMSON (University of Texas at Austin): Bayesian modeling and inference.• Steven R. WILSON (University of Michigan): Fundamentals of text analysis.

OPENING

Francis BACHSenior Researcher – Inria / Adjunct Professor – ENSOptimization for large-scale machine learning

Danielle BElGRAVEResearcher – Microsoft Research, Cambridge, UK Advances and challenges in machine learning for personalised healthcare.

David COHENProfessor – APHP Hôpital La Pitié SalpêtrièreAI and computational approaches: Implications for develomental psychopathology

Rémi MuNOSInria, Google DeepMindIntroduction to distributional reinforcement learning

Cordelia SCHMIDResearch Director – InriaAction recognition

Rada MIHALCEAProfessor – University of MichiganComputational sociolinguistics

Stéphane MALLATProfessor – Collège de France, ENSMathematical mysteries of deep neural networks

Ming yuANProfessor – Columbia University Low rank tensor methods for high dimensional data analysis

Melanie ZEIlINGERAssistant Professor – ETH ZürichEva-Mayr-Stihl Professor – University of FreiburgSafe learning-based control

TuTORIAlSPEAKERS

SIlVER: 2 500€

Donation

Your logo on the communication tools (invitation, website, on-site signage...).

GOlD 5 000€

Donation

Your logo on the communication tools (invitation, website, on-site signage...).

One speaking time during the cocktail on day 1.

PlATINuM 10 000€sponsoring

One invitation

Your logo on the communication tools (invitation, website, on-site signage...).

One speaking time during the cocktail on day 1.

One booth space on the exhibition (3mx2m) including:• 1 high stool• 1 welcome desk• 2-sided walls

DIAMOND 15 000€

sponsoring

Two invitations

Your logo on the communication tools (invitation, website, on-site signage...).

One speaking time during the lunch on day 1 (max. 3 sponsors).

One booth space on the exhibition (6mx3m) including:• carpet• 1 high stool• 1 welcome desk• 2-sided walls

uSB KEyS: 2 500€

WElCOME BAG: 2 000€

RECRuITMENT SESSION: 15 000€

Photo: C. Ayesta/DS3

SPONSORINGOFFER

uSB KEyS: 2 500€

Donation: your logo on the USB keys distributed to all the participants.

WElCOME BAG: 2 000€

Donation: your logo on the welcome bags distributed to all the participants.

RECRuITMENT SESSION: 15 000€

sponsoring: your logo on the communication tools.

One meeting room for 40 people booked for 2 hours at the end of one day.

One invitation.

advertisement on the event website (the management of the registration and the logistical needs - catering for example - are not included).

Photos: C. Ayesta/DS3

SPONSORINGOFFER

contact-ds3@inria.frwww.ds3-datascience-polytechnique.fr

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