Zobrazeno 1 - 10
of 3 260
pro vyhledávání: '"A. Rahier"'
We address the online unconstrained submodular maximization problem (Online USM), in a setting with stochastic bandit feedback. In this framework, a decision-maker receives noisy rewards from a nonmonotone submodular function, taking values in a know
Externí odkaz:
http://arxiv.org/abs/2410.08578
We address the problem of stochastic combinatorial semi-bandits, where a player selects among P actions from the power set of a set containing d base items. Adaptivity to the problem's structure is essential in order to obtain optimal regret upper bo
Externí odkaz:
http://arxiv.org/abs/2402.15171
Autor:
Betlei, Artem, Vladimirova, Mariia, Sebbar, Mehdi, Urien, Nicolas, Rahier, Thibaud, Heymann, Benjamin
The effectiveness of advertising in e-commerce largely depends on the ability of merchants to bid on and win impressions for their targeted users. The bidding procedure is highly complex due to various factors such as market competition, user behavio
Externí odkaz:
http://arxiv.org/abs/2312.16267
In many online decision processes, the optimizing agent is called to choose between large numbers of alternatives with many inherent similarities; in turn, these similarities imply closely correlated losses that may confound standard discrete choice
Externí odkaz:
http://arxiv.org/abs/2206.09348
Autor:
Ramé, Alexandre, Kirchmeyer, Matthieu, Rahier, Thibaud, Rakotomamonjy, Alain, Gallinari, Patrick, Cord, Matthieu
Standard neural networks struggle to generalize under distribution shifts in computer vision. Fortunately, combining multiple networks can consistently improve out-of-distribution generalization. In particular, weight averaging (WA) strategies were s
Externí odkaz:
http://arxiv.org/abs/2205.09739
Autor:
Rahier, Gilles, Prieur, Jean
Publikováno v:
In Journal of Sound and Vibration 17 February 2025 597 Part B
Autor:
Diemert, Eustache, Betlei, Artem, Renaudin, Christophe, Amini, Massih-Reza, Gregoir, Théophane, Rahier, Thibaud
Individual Treatment Effect (ITE) prediction is an important area of research in machine learning which aims at explaining and estimating the causal impact of an action at the granular level. It represents a problem of growing interest in multiple se
Externí odkaz:
http://arxiv.org/abs/2111.10106
Autor:
Gaëlle Annick Nyonda Yanze, Achile Nana, Patrick Ninla Lemougna, Rodrigue Cyriaque Kaze, Sylvain Tome, Hubert Rahier, Elie Kamseu, Florence Uphie Chinje
Publikováno v:
International Journal of Ceramic Engineering & Science, Vol 6, Iss 3, Pp n/a-n/a (2024)
Abstract This work discusses the effect of rich alumina bauxite on the mineralogical composition of calcium sulfoaluminate (CSA) clinker cement on their performances. After preparation of different local raw materials (rich alumina bauxite and marble
Externí odkaz:
https://doaj.org/article/3c69888988454b20ac22803cb4be77b2
Publikováno v:
Developments in the Built Environment, Vol 18, Iss , Pp 100445- (2024)
Concrete, a predominant building material, is known for its material degradation due to crack formation. The associated durability concerns initiated the use of microorganisms to self-heal concrete cracks by promoting CaCO3 precipitation on their cel
Externí odkaz:
https://doaj.org/article/83d1481253174988a48973f453bd6d9c
We propose a hierarchical version of dual averaging for zeroth-order online non-convex optimization - i.e., learning processes where, at each stage, the optimizer is facing an unknown non-convex loss function and only receives the incurred loss as fe
Externí odkaz:
http://arxiv.org/abs/2109.05829