Event Seminar: Salah Zrigui

Seminar: Salah Zrigui

Name: Seminar Rémi Castera
Start: 2024-04-30T14:00:00+02:00
End: 2024-04-30T15:00:00+02:00
Location: Bâtiment IMAG (442)

Panayotis MERTIKOPOULOS 2020/06/30 2020/06/30

2:00 pm – 3:00 pm
July 2, 2020

Title: Classification of energy profiles of HPC tasks

Abstract: Salah will present how he analyzed, characterized and tried to classify energy consumption traces (time series) of HPC codes running on one of the GRICAD cluster.

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Events in April–May 2024

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April 1	2	3 [Seminar] Victor Boone 2:00 pm – 3:00 pm April 3, 2024 Who: Victor Boone When: Wednesday, April 3, 14:00-15:00 Where: 447 What: Learning MDPs with Extended Bellman Operators More: Efficiently learning Markov Decision Processes (MDPs) is difficult. When facing an unknown environment, where is the adequate limit between repeating actions that have shown their efficiency in the past (exploitation of your knowledge) and testing alternatives that may actually be better than what you currently believe (exploration of the environment)? To bypass this dilemma, a well-known solution is the "optimism-in-face-of-uncertainty" principle: Think of the score of an action as being the largest that is statistically plausible. The exploration-exploitation dilemma then becomes the problem of tuning optimism. In this talk, I will explain how optimism in MDPs can be all rephrased using a single operator, embedding all the uncertainty in your environment within a single MDP. This is a story about "extended Bellman operators" and "extended MDPs", and about how one can achieve minimax optimal regret using this machinery. Bâtiment IMAG (442) Saint-Martin-d'Hères, 38400 France View Location Map Read more	4	5	6	7
8	9	10	11 [Seminar] Charles Arnal 2:00 pm – 3:00 pm April 11, 2024 Who: Charles Arnal When: Thursday, April 11, 14:00-15:00 Where: 442 What: Mode Estimation with Partial Feedback More: The combination of lightly supervised pre-training and online fine-tuning has played a key role in recent AI developments. These new learning pipelines call for new theoretical frameworks. In this paper, we formalize core aspects of weakly supervised and active learning with a simple problem: the estimation of the mode of a distribution using partial feedback. We show how entropy coding allows for optimal information acquisition from partial feedback, develop coarse sufficient statistics for mode identification, and adapt bandit algorithms to our new setting. Finally, we combine those contributions into a statistically and computationally efficient solution to our problem. Paper: https://arxiv.org/abs/2402.13079 Bâtiment IMAG (442) Saint-Martin-d'Hères, 38400 France View Location Map Read more	12	13	14
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29	30 Seminar Rémi Castera 2:00 pm – 3:00 pm April 30, 2024 Correlation of Rankings in Matching Markets Bâtiment IMAG (442) Saint-Martin-d'Hères, 38400 France View Location Map Read more	May 1	2	3	4	5
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Seminar: Salah Zrigui

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