SPEAKERS

Confirmed Speakers
(Monday-Wednesday)

Francis BACH

Senior Researcher – INRIA
Adjunct Professor – ENS

Title : Optimization for large-scale machine learning.

Danielle BELGRAVE

Researcher – Microsoft Research, Cambridge, UK

Title: Advances and Challenges in Machine Learning for Personalised Healthcare.

David COHEN

Professor – APHP Hôpital La Pitié Salpêtrière

Title : AI and computational approaches: Implications for developmental psychopathology.

Stéphane MALLAT

Professor – Collège de France, ENS

Opening of the Public Morning Session

Title: Mathematical mysteries of deep neural networks.

Rada MIHALCEA

Professor – University of Michigan

Title: Computational Sociolinguistics.

Rémi MUNOS

Google DeepMind

Title : Introduction to distributional Reinforcement Learning.

Konrad SCHINDLER

Professor – ETH Zürich

Title : Computer vision and machine learning for environmental monitoring.

Cordelia SCHMID

Research Director – INRIA

Title : Action Recognition.

Ming YUAN

Professor – Columbia University

Title : Low Rank Tensor Methods in High Dimensional Data Analysis.

Melanie ZEILINGER

Assistant Professor – ETH Zürich
Eva-Mayr-Stihl Professor – University of Freiburg

Title : Safe learning-based control.

Confirmed Speakers / Guests
(Thursday-Friday): In-depth Tutorial with Practical Session

Matthew B. BLASCHKO

Professor – KU Leuven

Title : Hyper-Parameter Selection with Bayesian Optimization.

Diana BORSA

Google DeepMind

Title : Shallow Dive in Deep Reinforcement Learning.

Volkan CEVHER

Associate Professor – EPFL
Faculty Fellow – Rice University

Title : Mathematics of Data: From Theory to Computation.

Olivier GRISEL

Software Engineer – INRIA

Title: Introduction to Deep Learning with Keras.

Hamed HASSANI

Assistant Professor – University of Pennsylvania

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

Martin JAGGI

Assistant Professor – EPFL

Title : Optimization for Machine Learning.

Olivier KOCH

Staff Machine Learning Lead – Criteo

Title : Classical algorithms and matrix factorization.

Mario LUCIC

Research Scientist – Google Brain

Title: Deep Generative Models.

Marcin MICHALSKI

Software Engineer – Google Brain

Title : Deep Generative Models.

Jonas PETERS

Assistant Professor – University of Copenhagen

Title : Causality.

Bilal PIOT

Google DeepMind

Title: Shallow Dive in Deep Reinforcement Learning.

Bharath SRIPERUMBUDUR

Assistant Professor – Pennsylvania State University

Title : Kernels: Theory and Applications.

Amal RANNEN TRIKI

PhD student – KU Leuven & Yonsei University
(Matthew B. BLASCHKO‘s group)

Title : Hyper-Parameter Selection with Bayesian Optimization.

Paul ROLLAND

PhD student – EPFL
(Volkan CEVHER‘s group)

Title : Mathematics of Data: From Theory to Computation.

Flavien VASILE

Research Lead – Learning Representations team Criteo

Title : Neural networks and causal recommendation.

Sinead WILLIAMSON

Assistant Professor – University of Texas at Austin

Title : Bayesian modeling and inference.

Steven R. WILSON

PostDoc – University of Michigan
(Rada MIHALCEA‘s group)

Title : Fundamentals of Text Analysis.