SPEAKERS

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.

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.

Rune CHRISTIANSEN

PhD student – University of Copenhagen
(Jonas PETERS‘ group)

Title: Causality.

Armin EFTEKHARI

PostDoc – EPFL
(Volkan CEVHER‘s group)

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 and deep learning.

Olivier KOCH

Staff Machine Learning Lead – Criteo

Title: Classical algorithms and matrix factorization.

Mario LUCIC

Senior Research Scientist – Google Brain

Title: Deep generative models.

Marcin MICHALSKI

Software Engineer – Google Brain

Title: Deep generative models.

Evan OTT

PhD student – University of Texas at Austin
(Sinead WILLIAMSON‘s group)

Title: Bayesian modeling and inference.

Jonas PETERS

Associate Professor – University of Copenhagen

Title: Causality.

Bilal PIOT

Google DeepMind

Title: Shallow dive in deep reinforcement learning.

Amal RANNEN TRIKI

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

Title: Hyper-parameter selection with Bayesian optimization.

Pierre H. RICHEMOND

PhD student – Imperial College London
(helping Bilal PIOT)

Title: Shallow dive in deep reinforcement learning.

Paul ROLLAND

PhD student – EPFL
(Volkan CEVHER‘s group)

Title: Mathematics of data: From theory to computation.

Thomas SANCHEZ

PhD student – EPFL
(Volkan CEVHER‘s group)

Title: Mathematics of data: From theory to computation.

Bharath K. SRIPERUMBUDUR

Assistant Professor – Pennsylvania State University

Title: Learning with positive definite kernels: Theory, algorithms and applications.

Dougal J. SUTHERLAND

PostDoc – University College London
(helping Bharath K. SRIPERUMBUDUR)

Title: Learning with positive definite kernels: Theory, algorithms and applications.

Flavien VASILE

Research Lead – Learning Representations team Criteo

Title: Neural networks and causal recommendation.

Thijs VOGELS

PhD student – EPFL
(Martin JAGGI‘s group)

Title: Optimization for machine learning and deep learning.

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 for user generated content.