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.
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.
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.
Anastasia KOLOSKOVA
PhD student (Martin JAGGI‘s group) – EPFL
Title: Optimization for machine learning and deep learning.
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.
Flavian 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.