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Odalric-Ambrym Maillard | My research journey in Mathematics and Computer Science

On these pages, you will find information regarding my research activities in the wide fields of Mathematics>Statistical Theory and Computer Science>Machine Learning. You may want to read and comment on my publications, subscribe to the Probability and Statistics news mailing list, or follow much more interesting links. If you are interested in acting to save…

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Odalric-Ambrym Maillard | My research journey in Mathematics and Computer Science | odalricambrymmaillard.wordpress.com Reviews

https://odalricambrymmaillard.wordpress.com

On these pages, you will find information regarding my research activities in the wide fields of Mathematics>Statistical Theory and Computer Science>Machine Learning. You may want to read and comment on my publications, subscribe to the Probability and Statistics news mailing list, or follow much more interesting links. If you are interested in acting to save…

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1

Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. – Odalric-Ambrym Maillard

https://odalricambrymmaillard.wordpress.com/2014/11/13/selecting-near-optimal-approximate-state-representations-in-reinforcement-learning

My research journey in Mathematics and Computer Science. How hard is my MDP? Distribution-norm to the rescue. Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. Sub-sampling for multi-armed bandits. Concentration inequalities for sampling without replacement. Robust Risk-averse Multi-armed Bandits. Competing with an Infinite Set of Models in Reinforcement Learning. Optimal regret bounds for selecting the state representation in reinforcement learning. You can dowload the ...

2

About me – Odalric-Ambrym Maillard

https://odalricambrymmaillard.wordpress.com/a-propos

My research journey in Mathematics and Computer Science. How hard is my MDP? Distribution-norm to the rescue. Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. Sub-sampling for multi-armed bandits. Concentration inequalities for sampling without replacement. Robust Risk-averse Multi-armed Bandits. Competing with an Infinite Set of Models in Reinforcement Learning. Optimal regret bounds for selecting the state representation in reinforcement learning. On the European SUPR...

3

Linear regression with random projections. – Odalric-Ambrym Maillard

https://odalricambrymmaillard.wordpress.com/2014/08/08/linear-regression-with-random-projections

My research journey in Mathematics and Computer Science. How hard is my MDP? Distribution-norm to the rescue. Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. Sub-sampling for multi-armed bandits. Concentration inequalities for sampling without replacement. Robust Risk-averse Multi-armed Bandits. Competing with an Infinite Set of Models in Reinforcement Learning. Optimal regret bounds for selecting the state representation in reinforcement learning. Title = { Linear Reg...

4

“How hard is my MDP?” Distribution-norm to the rescue. – Odalric-Ambrym Maillard

https://odalricambrymmaillard.wordpress.com/2014/12/09/how-hard-is-my-mdp-distribution-norm-to-the-rescue

My research journey in Mathematics and Computer Science. How hard is my MDP? Distribution-norm to the rescue. Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. Sub-sampling for multi-armed bandits. Concentration inequalities for sampling without replacement. Robust Risk-averse Multi-armed Bandits. Competing with an Infinite Set of Models in Reinforcement Learning. Optimal regret bounds for selecting the state representation in reinforcement learning. How hard is my MDP?

5

Online allocation and homogeneous partitioning for piecewise constant mean-approximation. – Odalric-Ambrym Maillard

https://odalricambrymmaillard.wordpress.com/2014/08/08/online-allocation-and-homogeneous-partitioning-for-piecewise-constant-mean-approximation

My research journey in Mathematics and Computer Science. How hard is my MDP? Distribution-norm to the rescue. Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. Sub-sampling for multi-armed bandits. Concentration inequalities for sampling without replacement. Robust Risk-averse Multi-armed Bandits. Competing with an Infinite Set of Models in Reinforcement Learning. Optimal regret bounds for selecting the state representation in reinforcement learning. NIPS ’12, 2012.

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Travail de Communication de la Recherche (T.C.R)

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Aller au contenu principal. Travail de Communication de la Recherche (T.C.R). La philosophie, la démarche. Commençons par quelques questions à poser autour de vous, de préférence à des gens extérieurs au milieu académique :. Qu’est-ce qu’on fait dans une université? Dans la recherche en France, sur quoi travaille-t-on? Pouvez-vous citer une avancée/découverte réalisée par une université française ces 5 dernières années? Celle où vous avez étudié (si applicable)? Enfin, en se tournant vers les entreprises...

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Odalric-Ambrym Maillard -

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Thanks to OverBlog Reader, follow this blog and don't miss any of its best posts! This website has moved to http:/ odalricambrymmaillard.wordpress.com. Please, follow this link for up-to-date information. On these pages, you will find my research activities in the wide fields of Mathematics Statistical Theory and Computer Science Machine Learning. Have a good day. Sparse Recovery with Brownian Sensing. Published by Odalric-Ambrym Maillard. Published by Odalric-Ambrym Maillard. This page is dedicated to s...

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Lørdag 7. april 2012. Vi har feiret min 3-års dag sammen med Jenny sin ett års dag idag hos Aina og de. Her var familien samlet til masse kos:-). Aina er som vanlig superflink til å lage flotte kort:-). Mange spennende folk som jeg sjelden ser også. Fredag 6. april 2012. Dette ble et fint bilde av meg og mamma:-). Vi har vært hos tante Tove og familien idag på kaffe og etterpå hos mimmi og bestefar på middag. Kos:-). Onsdag 4. april 2012. Hmmmmm. Hva har skjedd her? Mandag 2. april 2012. Jeg har vært med...

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Odalric-Ambrym Maillard -

Thanks to OverBlog Reader, follow this blog and don't miss any of its best posts! On these pages, you will find my research activities in the wide fields of Mathematics Statistical Theory and Computer Science Machine Learning. On the right panel, you will find further information regarding my research activity. You may want to read and comments on my publications, subscribe to the Probabilty and Statistics news mailing list, or follow much more interesting links. Have a good day. Odalric-Ambrym Maillard ...

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Un racó personal per a idees universals. 14 d'Abril, dia de la República. El Rei es trenca el maluc quan era a Botswana caçant elefants. Dissabte, d’abril 14, 2012. Envia per correu electrònic. Etiquetes de comentaris: Política. La superioritat moral de l'esquerra. Dimarts, de març 13, 2012. Envia per correu electrònic. Etiquetes de comentaris: Política. Diumenge, de desembre 18, 2011. Envia per correu electrònic. Etiquetes de comentaris: Política. Dimecres, de desembre 07, 2011. Dona, 63 anys. La dona p...

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Odalric-Ambrym Maillard | My research journey in Mathematics and Computer Science

My research journey in Mathematics and Computer Science. How hard is my MDP? Distribution-norm to the rescue. Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. Sub-sampling for multi-armed bandits. Concentration inequalities for sampling without replacement. Robust Risk-averse Multi-armed Bandits. Competing with an Infinite Set of Models in Reinforcement Learning. Optimal regret bounds for selecting the state representation in reinforcement learning. Mailing list, or fol...

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