SPEAKERS
Speakers
Volkan CEVHER
Associate Professor – EPFL
Title: 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
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
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
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