Martin Jaggi Thesis

Martin Jaggi Thesis-90
To learn more or modify/prevent the use of cookies, see our Cookie Policy and Privacy Policy.I am a Ph D student in the Machine Learning and Optimization laboratory at EPFL under the supervision of Martin Jaggi. from University College Roosevelt, an honours college from Utrecht University, and a M. from ETH Zürich in Computational Science & Engineering.

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The conference will take place in Macao, China, during August 10-16, 2019. I am in Vienna, visiting the Erwin Schrödinger International Institute for Mathematics and Physics (ESI) which is the hosting a program on Modern Maximal Monotone Operator Theory: From Nonsmooth Optimization to Differential Inclusions.She will stay for a week, and will give the Machine Learning Hub seminar on Thursday. Abstract: Training complex machine learning models in parallel is an increasingly important workload."Scaling distributed machine learning with in-network aggregation" - joint work with Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, and Dan R. We accelerate distributed parallel training by designing a communication primitive that uses a programmable switch dataplane to execute a key step of the training process.As of today, Dmitry Kovalev is visiting Moscow - he will stay there for two weeks and will give two research talks while there (one in Boris Polyak's group and another at MIPT).Zheng Qu (The University of Hong Kong) is visiting me at KAUST this week.We use cookies to make interactions with our website easy and meaningful, to better understand the use of our services, and to tailor advertising.For further information, including about cookie settings, please read our Cookie Policy .By continuing to use this site, you consent to the use of cookies.We use cookies to offer you a better experience, personalize content, tailor advertising, provide social media features, and better understand the use of our services.We are hiring intensively in Artificial Intelligence and Machine Learning at all levels (Assistant, Associate and Full Professors); please get in touch if interested!"Convergence analysis of inexact randomized iterative methods" - joint work with Nicolas Loizou.

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