Events in February–March 2019
MonMonday | TueTuesday | WedWednesday | ThuThursday | FriFriday | SatSaturday | SunSunday |
---|---|---|---|---|---|---|
January 28, 2019
|
January 29, 2019
|
January 30, 2019
|
January 31, 2019
|
FebruaryFebruary 1, 2019 |
February 2, 2019
|
February 3, 2019
|
February 4, 2019
|
February 5, 2019
|
February 6, 2019
|
February 7, 2019
|
February 8, 2019
|
February 9, 2019
|
February 10, 2019
|
February 11, 2019
|
February 12, 2019
|
February 13, 2019
|
February 14, 2019(1 event)
Melissa: Modular External Library for In Situ Sensitivity Analysis by Theophile Terraz (Datamove)Melissa: Modular External Library for In Situ Sensitivity Analysis by Theophile Terraz (Datamove) – Classical sensitivity analysis consists in running different instances of a numerical simulation with different sets of input parameters, store the results to disk, to later read them back from disk to compute the required statistics. A simulation can be multi-dimensional, multivariate, and multivalued, and a global sensitivity analysis often requires thousands of runs. The amount of storage needed can quickly become overwhelming, with the associated long read time that makes statistic computing time consuming. To avoid this pitfall, scientists usualy reduce their study size by running low resolution simulations or down-sampling output data in space and time. Bâtiment IMAG (442) |
February 15, 2019
|
February 16, 2019
|
February 17, 2019
|
February 18, 2019
|
February 19, 2019
|
February 20, 2019
|
February 21, 2019
|
February 22, 2019
|
February 23, 2019
|
February 24, 2019
|
February 25, 2019
|
February 26, 2019
|
February 27, 2019
|
February 28, 2019(1 event)
Building Stable Conventions, by Jonathan Newton (Kyoto University)Building Stable Conventions, by Jonathan Newton (Kyoto University) – BUILDING STABLE CONVENTIONS Bâtiment IMAG (442) |
MarchMarch 1, 2019 |
March 2, 2019
|
March 3, 2019
|
March 4, 2019
|
March 5, 2019
|
March 6, 2019
|
March 7, 2019(1 event)
A journey to causal advertising: interventions, Datasets & Models by Eustache Diemert (Criteo Grenoble)A journey to causal advertising: interventions, Datasets & Models by Eustache Diemert (Criteo Grenoble) – Title: A journey to causal advertising: interventions, Datasets & Models Abstract: In a culture where claims are backed with data, digital advertising shall demonstrate and optimize its causal effect. We will present two use cases from this industry leading to interesting problems. Then we'll describe how to generate datasets to allow for proper counterfactual learning, along with practical optimization tricks and experimental results. Presentation will include material from work published at NeurIPS Causal Learning 2018 and open datasets from Criteo. Bâtiment IMAG (442) |
March 8, 2019
|
March 9, 2019
|
March 10, 2019
|
March 11, 2019
|
March 12, 2019
|
March 13, 2019
|
March 14, 2019
|
March 15, 2019
|
March 16, 2019
|
March 17, 2019
|
March 18, 2019
|
March 19, 2019
|
March 20, 2019
|
March 21, 2019(1 event)
Tree Search and the EURO/ROADEF 2018 Challenge (Gescop event)Tree Search and the EURO/ROADEF 2018 Challenge (Gescop event) – Tree Search and the EURO/ROADEF 2018 Challenge We present a simple and competitive heuristic Branch and Bound. It performs In this talk, we will describe the cutting glass problem, then introduce the Link to the challenge web page: amphithéâtre Doyen Gosse à Grenoble INP |
March 22, 2019
|
March 23, 2019
|
March 24, 2019
|
March 25, 2019
|
March 26, 2019
|
March 27, 2019
|
March 28, 2019(1 event)
Eigenvalues and Graphs by Fanny Dufossé (Datamove)Eigenvalues and Graphs by Fanny Dufossé (Datamove) – The first result obtained for eigenvalues applied to graph problems is a bound on the chromatic number of a graph in 1973. Since then, many important applications of eigenvalues were discovered. This presentation will summarize some of these results, including properties of eigenvalues and application to combinatorial optimization problems. Bâtiment IMAG (442) |
March 29, 2019
|
March 30, 2019
|
March 31, 2019
|
- April 3, 2024 @ Bâtiment IMAG (442) -- [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.
- April 11, 2024 @ Bâtiment IMAG (442) -- [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.
- April 30, 2024 @ Bâtiment IMAG (442) -- Seminar Rémi Castera
Correlation of Rankings in Matching Markets