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X-WR-CALDESC:Events for IVADO
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DTSTART;VALUE=DATE:20170626
DTEND;VALUE=DATE:20170702
DTSTAMP:20260419T040611
CREATED:20170419T145450Z
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SUMMARY:Deep Learning Summer School and Reinforcement Learning Summer School
DESCRIPTION:Deep neural networks that learn to represent data in multiple layers of increasing abstraction have dramatically improved the state-of-the-art for speech recognition\, object recognition\, object detection\, predicting the activity of drug molecules\, and many other tasks. Deep learning discovers intricate structure in large datasets by building distributed representations\, either via supervised\, unsupervised or reinforcement learning. \nThe Deep Learning Summer School (DLSS) is aimed at graduate students and industrial engineers and researchers who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning) and wish to learn more about this rapidly growing field of research. \nThis year’s edition of the DLSS is organized by Graham Taylor\, Aaron Courville and Yoshua Bengio.
URL:https://vieux.ivado.ca/en/events/deep-learning-summer-school-and-reinforcement-learning-summer-school/
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DTSTART;TZID=America/New_York:20170703T080000
DTEND;TZID=America/New_York:20170707T170000
DTSTAMP:20260419T040611
CREATED:20161118T011904Z
LAST-MODIFIED:20161130T151019Z
UID:6624-1499068800-1499446800@vieux.ivado.ca
SUMMARY:11th International Conference on Monte-Carlo Methods and Applications
DESCRIPTION:The biennial International Conference on Monte Carlo Methods and Applications (MCM) is a mathematically-oriented meeting devoted to the study of stochastic simulation and Monte Carlo methods in general\, from the theoretical viewpoint and in terms of their effective applications in different areas such as nance\, statistics\, machine learning\, computer graphics\, computational physics\, biology\, chemistry\, and scientific computing in general. It is one of the most prominent conference series devoted to research on the mathematical aspects of stochastic simulation and Monte Carlo methods. \nConference topics include:\nMonte Carlo methods and principles; pseudorandom number generators; low-discrepancy point sets and sequences in various spaces; quasi-Monte Carlo and randomized quasi-Monte Carlo methods; simulation of random variates and random processes; variance reduction and efficiency improvement methods for simulation; rare-event simulation methods; multilevel Monte Carlo methods; stochastic optimization methods based on simulation and random search; simulation algorithms for highly-parallel computing environments; tractability and complexity analysis of multivariate problems (integration\, approximation\, etc.); Monte Carlo and quasi-Monte Carlo methods for stochastic differential equations and partial differential equations; Markov chain Monte Carlo particle filters\, splitting\, and other adaptive learning methods; Monte Carlo methods in machine learning; applications in physics\, chemistry\, biology\, economy\, finance\, statistics\, management\, medical science\, computer graphics\, etc.
URL:https://vieux.ivado.ca/en/events/11th-international-conference-on-monte-carlo-methods-and-applications/
LOCATION:HEC Montréal\, 3000 chemin de la Côte-Sainte-Catherine\, Montréal\, Québec\, H3T 2A7 \, Canada
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DTSTART;VALUE=DATE:20170717
DTEND;VALUE=DATE:20170722
DTSTAMP:20260419T040611
CREATED:20170419T151945Z
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SUMMARY:IFORS 2017
DESCRIPTION:IVADO is pleased to participate in the 21st Conference of the International Federation of Operational Research Societies. Under the theme of “OR/Analytics for a better world”\, the conference will be held between July 17-21\, 2017 in Quebec City\, the capital of the province of Quebec\, Canada. \nThe venue is the Quebec International Convention Center\, conveniently located in the heart of Quebec City and one of Canada’s top convention destinations with renowned hospitality and exceptional service\, cutting-edge technology and creative cuisine inspired by the rich culinary traditions of North America’s fine dining capital. \nIFORS 2017 will bring together operational researchers from around the globe. \nMore info >>
URL:https://vieux.ivado.ca/en/events/ifors-2017/
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DTSTART;TZID=America/New_York:20170724T080000
DTEND;TZID=America/New_York:20170730T170000
DTSTAMP:20260419T040611
CREATED:20170724T150805Z
LAST-MODIFIED:20170724T150805Z
UID:7494-1500883200-1501434000@vieux.ivado.ca
SUMMARY:NIPS Conversational Intelligence Challenge Call for Human Evaluators
DESCRIPTION:Join ConvAI Competition as a Human Evaluator to make next generation chatbots truly intelligent\nDialogue systems and conversational agents – including chatbots\, personal assistants and voice control interfaces – are becoming increasingly widespread in our daily lives. Nevertheless\, conversational intelligence remains one of the major unsolved tasks in artificial intelligence. This year\,  NIPS is sponsoring an open competition the Conversational Intelligence Challenge (http://convai.io) to create a chatbot that can hold an intelligent conversation with a human partner.  Goals of the competition are evaluation of state-of-the-art dialogue systems\, and collection of an open-source dataset for future training of end-to-end systems. \n“Learning to communicate with humans is a crucial ability for intelligent agents. Among the primary forms of communication between humans is natural language dialogue. As such\, building systems that can naturally and meaningfully converse with humans has been a central goal of artificial intelligence since the formulation of the Turing test\,” say co-organizers in their recent paper on Automated Turing test. \nCurrent breakthroughs of deep learning critically depend on quantity and quality of data used to train models. This is why every human evaluator volunteer is so valuable for the success of the competition. Please join us in our efforts to build an open dataset for the development of the next generation of conversational AI. \nFirst round of evaluation will be done remotely on 24th-30th of July\, 2017 via a messaging platform.  During the week competition teams members  and human-volunteers will chat with bots and evaluate the quality of the dialogue systems\, submitted  to the competition. Winning teams will be qualified for the NIPS finals. To contribute to the conversational intelligence research\, fill the registration form at https://goo.gl/PWrZ0e now\, and we will send you email at the beginning of the evaluation. \nThe competition is organised by Université de Montréal\, McGill University\, Carnegie Mellon University and Moscow Institute of Physics and Technology in partnership with Facebook\, Flint Capital\, IVADO\, Maluuba and Element AI. \nIVADO is a proud Silver Sponsor of ConvAI! \nConversational Intelligence Challenge Organizers \nMikhail Burtsev\, Valentin Malykh\, MIPT\, Moscow\nRyan Lowe\, McGill University\, Montreal\nIulian Serban\, Yoshua Bengio\, University of Montreal\, Montreal\nAlexander Rudnicky\, Alan W. Black\, Shrimai Prabhumoye\, Carnegie Mellon University\, Pittsburgh
URL:https://vieux.ivado.ca/en/events/nips-conversational-intelligence-challenge-call-for-human-evaluators/
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