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.