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June 22, 2018
| MMonday | TTuesday | WWednesday | TThursday | FFriday | SSaturday | SSunday |
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April1April 1, 2024 |
2April 2, 2024
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[Seminar] Victor Boone – 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) |
4April 4, 2024
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5April 5, 2024
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6April 6, 2024
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7April 7, 2024
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8April 8, 2024
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9April 9, 2024
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10April 10, 2024
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[Seminar] Charles Arnal – 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. Bâtiment IMAG (442) |
12April 12, 2024
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13April 13, 2024
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14April 14, 2024
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15April 15, 2024
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16April 16, 2024
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17April 17, 2024
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18April 18, 2024
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20April 20, 2024
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21April 21, 2024
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22April 22, 2024
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23April 23, 2024
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24April 24, 2024
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25April 25, 2024
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26April 26, 2024
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27April 27, 2024
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28April 28, 2024
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29April 29, 2024
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Seminar Rémi Castera – Correlation of Rankings in Matching Markets Bâtiment IMAG (442) |
May1May 1, 2024 |
2May 2, 2024
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3May 3, 2024
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4May 4, 2024
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5May 5, 2024
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6May 6, 2024
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7May 7, 2024
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8May 8, 2024
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9May 9, 2024
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10May 10, 2024
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11May 11, 2024
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12May 12, 2024
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13May 13, 2024
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14May 14, 2024
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15May 15, 2024
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16May 16, 2024
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17May 17, 2024
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18May 18, 2024
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19May 19, 2024
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20May 20, 2024
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21May 21, 2024
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22May 22, 2024
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23May 23, 2024
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24May 24, 2024
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25May 25, 2024
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26May 26, 2024
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27May 27, 2024
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28May 28, 2024
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29May 29, 2024
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30May 30, 2024
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31May 31, 2024
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June1June 1, 2024 |
2June 2, 2024
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