Patrimony

The Louis Bachelier Group's patrimony has been defined as all the publications produced by academic researchers thanks to Group funding (ILB, FdR, IEF, Labex) or via the use of EquipEx data (BEDOFIH, EUROFIDAI).


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Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals.

Adaptive sequential testing, Best arm identification, Mixture methods, Multi-armed bandits, Test martingales

Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling.

Multi-armed bandits, Rank-one bandits, Unimodal bandits

Multi-Player Bandits Revisited.

Cognitive Radio, Decentralized algorithms, Multi-Armed Bandits, Opportunistic Spectrum Access, Reinforcement learning

Multi-Armed Bandit Learning in IoT Networks: Learning Helps Even in Non-stationary Settings.

Cognitive Radio, Internet of Things, Multi-Armed Bandits, Non-Stationary Bandits, Reinforcement Learning

On Bayesian index policies for sequential resource allocation.

Bayesian algorithms, Multi-armed bandits

Aggregation of multi-armed bandits learning algorithms for opportunistic spectrum access.

Aggregation algorithm, Aggregation of estimators, Cognitive radio, Learning theory, Multi-Armed Bandits, Reinforcement Learning

Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling.

Multi-armed bandits, Sequential adaptive hypothesis testing

The Generalized Likelihood Ratio Test meets klUCB: an Improved Algorithm for Piece-Wise Non-Stationary Bandits.

Change Point Detection, Multi-Armed Bandits, Non-Stationary Bandits

What Doubling Tricks Can and Can't Do for Multi-Armed Bandits.

Anytime Algorithms, Doubling Trick, Multi-Armed Bandits, Sequential Learning

Optimal Best Arm Identification with Fixed Confidence.

Best arm identification, MDL, Multi-armed bandits