SPEAKERS

Speakers

Volkan CEVHER

Associate Professor – EPFL

Title: Optimization challenges in adversarial ML

Slide : Optimization challenges in adversarial ML

Florence D’ALCHÉ-BUC

Professor – Télécom Paris

Title: Kernels: shallow and deep learning

Anthony DAVISON

Professor – EPFL

Title: Climate risks and extremes

Slide : Climate risks and extremes

Michael JORDAN

Professor – University of California, Berkeley

Title: Towards a blend of machine learning and microeconomics

Slide : Towards a blend of machine learning and microeconomics

Claire MONTELEONI

Associate Professor – University of Colorado Boulder

Title: Climate informatics: machine learning for the study of climate change

Philippe NAVEAU

Research Scientist – LSCE, IPSL-CNRS

Title: How to attribute extreme events in climate studies

Slide : How to attribute extreme events in climate studies

Gabriel PEYRÉ

Senior Researcher – CNRS, DMA, ENS

Title: Computational Optimal Transport

Slides : Entropic Regularization & Theoretical Foundations

Pradeep RAVIKUMAR

Associate Professor – Carnegie Mellon University

Title: Robust machine learning

Slide : Robust ML

Gabriel SYNNAEVE

Research Scientist – Facebook

Title: Advances in end-to-end speech recognition

Slide : Advances in end-to-end speech recognition

François YVON

Senior Researcher – LIMSI-CNRS

Title: Recent advances in deep learning for NLP

Slide : Download

Guests at the round table discussion

Emmanuel BACRY

Senior Research Fellow – CNRS
Chief Scientific Officer – Health Data Hub

Antonio CASILLI

Professor – Télécom Paris
Researcher – i3-CNRS

Laurence DEVILLERS

Professor – Paris-Sorbonne University
Researcher – LIMSI-CNRS

Speakers / Guests: In-depth Tutorials with Practical Sessions

Quentin BERTRAND

PhD Student – Inria
(Alexandre Gramfort‘s group)

Title: Optimization for machine learning «hands on»

Aymeric DIEULEVEUT

Assistant Professor – CMAP, École polytechnique

Title: Stochastic Optimization

Pawel DLOKTO

Director – Dioscuri Centre on TDA, Polish Academy of Sciences

Title: Topological Data Analysis

Vincent FORTUIN

PhD Student – ETH Zürich
(Gunnar Rätsch and Andreas Krause‘s group)

Title: Deep Generative Models for Representation Learning

Alexandre GRAMFORT

Researcher – Inria

Title: Optimization for machine learning «hands on»

Olivier GRISEL

Software Engineer – Inria

Title: Introduction to Deep Learning with Keras and Tensorflow

Hamed HASSANI

Assistant Professor – University of Pennsylvania

Title: Algorithms, Theory, and Applications of Submodular Optimization: From Discrete to Continuous and Back

Lukas HEWING

PostDoc – ETH Zürich
(Melanie Zeilinger‘s group)

Title: Safe Learning for Control

Vitaliy KURLIN

Associate Professor – University of Liverpool
Data Scientist – Materials Innovation Factory

Title: Topological Data Analysis

Eric MOULINES

Professor – École polytechnique

Title: Stochastic Optimization

Vinayak RAO

Associate Professor – Purdue University

Title: Modern Bayesian methods: principles and practice

Vincent ROUVREAU

Research Software Engineer – Inria

Title: Topological Data Analysis

Krasen SAMARDZHIEV

PhD student – University of Liverpool
(Vitaliy Kurlin‘s group)

Title: Topological Data Analysis

D.J. SUTHERLAND

Assistant Professor – University of British Columbia

Title: Kernel Methods: From Basics to Modern Applications

Flavian VASILE

Criteo

Title: Modern Recommendation for Advanced Practitioners

Melanie ZEILINGER

Assistant Professor – ETH Zürich

Title: Safe Learning for Control