CiML 2018‎ > ‎


Challenges in Machine Learning
Machine Learning Challenges "in the wild"

Confirmed invited speakers







Mikhail Burtsev, MIPT Moscow, Russia

Bich-Liên Doan, Centrale-Supelec, France

Esteban Arcaute, Facebook, USA

Laura Seaman, Draper Inc., USA

Larry Jackel, North-C Tech., USA

Daniel Polani, U. Hertfordshire, UK

Antoine Marot, RTE, France

Tentative list of speakers ([+] indicates confirmed speakers)

     Mikhail Burtsev [+]
Head of Neural Networks and Deep Learning Lab, Moscow Institute of Physics and Technology, co-organizer of the NIPS 2017 chatbot challenge, hackathons and ConvAI competitions. 

    Julien Hay, Bich-Liên DoanFabrice Popineau [+]
Renewal is a news recommendation platform developed for research and academic purposes, in cooperation between CentraleSupélec, the LRI and the Octopeek company (, which can be powered by code submitted by challenge participants. Renewal is a news recommendation platform developed for research purposes. It allows teams of researchers to submit recommendation algorithms as part of an evaluation campaign. To our knowledge, this platform is the only one which offers a user application fully dedicated to the cross-website and cross-language news articles recommendation task. It also offers a large panel of context / demographic clues and a long-term user history through a dedicated mobile app.

Julien Hay is a PhD student at CentraleSupelec and a member of the LRI (Paris-Saclay University and CNRS). He obtained a master's degree in software development and artificial intelligence. He applies NLP and machine learning techniques on text data from social networks in order to enhance user profiling in recommender systems. In his thesis, he pays special attention towards evaluation and model training through large data collection for machine learning and online evaluation for recommender systems.

Bich-Liên Doan is a professor in Computer Science at CentraleSupélec and a member of the LRI (University Paris-Saclay and CNRS). She is specialized in information retrieval, and her current research is related to contextual and more particularly personalized information retrieval and recommender systems. She is interested in new models from NLP, deep learning, semiotics and quantum mechanics that can help in representing information.  She co-organized in 2005 and 2007 the context-based information retrieval workshop held in conjunction with the international “Context” conference. She co-organized in 2008, 2009, and 2010 the Contextual Information Access, Seeking and Retrieval Evaluation (CIRSE) Workshop in conjunction with the European Conference on Information Retrieval (ECIR).

Fabrice Popineau is a professor of computer science at CentraleSupélec and a full member of the "Laboratoire de Recherche en Informatique" (UMR8623 of the Paris-Saclay University and the CNRS).  For the past fifteen years or so, his research has focused on the contributions of artificial intelligence to the personalization of the user experience on web platforms. He is particularly interested in personalized  recommendation in the context of social networks and also for online educational platforms. Besides his research activities, he his the French translation supervisor for the Russel & Norvig AIMA book. In a previous life,  he has also heavily contributed to the TeXLive project.

       Laura Seaman [+]
Scientist Draper Inc., head of project Alloy a live experiment to have teams of machine and humans collaborate on data science projects in the context of a challenge.

      Esteban Arcaute and Umut Ozertem [+]
Facebook project on developing benchmarks of algorithms in realistic settings.

Esteban D. Arcaute was born in Mexico City, and earned his Ph.D. from Stanford University in Computational and Mathematical Engineering. He is currently the Director of Data Science at Facebook in charge of Analytics for Ecosystems. Prior to that, he was a Sr. Director of Data Science at @WalmartLabs, where he spearheaded the adoption of Machine Learning techniques in various domains, leading to the development of a new search engine and search experience used in several Walmart properties including His current interests span from learning and control systems with a human in the loop, to advanced analytics and experimentation.

       Larry Jackel  [+]
Larry Jackel is President of North-C Technologies, where he does professional consulting. From 2003-2007 he was a DARPA Program Manager in the IPTO and TTO offices. He conceived and managed programs in Universal Network-Based Document Storage and in Autonomous Ground Robot navigation and Locomotion. For most of his scientific career Jackel was a manager and researcher in Bell Labs and then AT&T Labs. He has created and managed research groups in Microscience and Microfabrication, in Machine Learning and Pattern Recognition, and in Carrier-Scale Telecom Services. Jackel holds a PhD in Experimental Physics from Cornell University with a thesis in superconducting electronics. He is a Fellow of the American Physical Society and the IEEE.

      Daniel Polani  [+]
Professor University of Hertfordshire. Experienced participant and organizer of robotics competitions. UK. President of RoboCup.

      Antoine Marot [+]
Antoine Marot is an R&D engineer at RTE (Reseau de Transport d’Electricité) in charge of a research team on an ambitious project called Apogee that aims at building a personal assistant for control room operators, in contrast of their always growing fragmented multi-applications with multi-screen working environment today. He owns a double master degree in Engineering from Stanford and Ecole Centrale de Paris with specific interests in both machine learning and the field of energy. After interning at Tesla Motors, he joined RTE on the Apogee project 4 years ago in Paris and is looking forward to building new fruitful research collaborations, in addition to the existing ones with INRIA, to build this dreamed personal assistant with a machine learning system. However, it appears that the machine learning for power systems community needs to be reinforced to make faster progress, and he is eager to contribute building such a community, especially by the means of challenges. He previously gave similar talk at NIPS 2016 spatial-temporal workshop for the See4c European Challenge.