|
|
⇣
|
|
Analyse non asymptotique d'un test séquentiel de détection de rupture et application aux bandits non stationnaires Non-asymptotic analysis of a sequential rupture detection test and its application to non-stationary bandits,
Lilian Besson, Emilie Kaufmann,
GRETSI 2019 - XXVIIème Colloque francophone de traitement du signal et des images 2019, Lille, France
|
|
|
⇣
|
|
A simple dynamic bandit algorithm for hyper-parameter tuning,
Xuedong Shang, Emilie Kaufmann, Michal Valko,
Workshop on Automated Machine Learning at International Conference on Machine Learning 2019, Long Beach, United States
|
|
|
⇣
|
|
General parallel optimization without a metric,
Xuedong Shang, Emilie Kaufmann, Michal Valko,
Algorithmic Learning Theory 2019, Chicago, United States
|
|
|
|
⇣
|
General parallel optimization a without metric,
Xuedong Shang, Emilie Kaufmann, Michal Valko,
ALT 2019
|
|
|
⇣
|
|
Adaptive black-box optimization got easier: HCT only needs local smoothness,
Xuedong Shang, Emilie Kaufmann, Michal Valko,
European Workshop on Reinforcement Learning 2018, Lille, France
|
|
|
⇣
|
⇣
|
Sequential Test for the Lowest Mean - From Thompson to Murphy Sampling,
Emilie Kaufmann, Wouter M. Koolen, Aurélien Garivier,
NeurIPS 2018, Montréal, Canada
|
|
|
⇣
|
⇣
|
Corrupt Bandits for Preserving Local Privacy,
Pratik Gajane, Tanguy Urvoy, Emilie Kaufmann,
ALT 2018, Lanzarote, Spain
|
|
|
⇣
|
⇣
|
Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence,
Maryam Aziz, Jesse Anderton, Emilie Kaufmann, Javed A. Aslam,
ALT 2018, Lanzarote, Spain
|
|
|
⇣
|
|
Multi-Player Bandits Revisited Modèles de Bandits Multi-Joueurs Revisités,
Lilian Besson, Emilie Kaufmann,
Algorithmic Learning Theory 2018, Lanzarote, Spain
|
|
|
⇣
|
|
Aggregation of Multi-Armed Bandits Learning Algorithms for Opportunistic Spectrum Access Agrégation d'algorithmes d'apprentissage pour les bandits multi-bras appliquée à l'accès opportuniste au spectre,
Lilian Besson, Emilie Kaufmann, Christophe Moy,
IEEE WCNC - IEEE Wireless Communications and Networking Conference 2018, Barcelona, Spain
|
|
|
|
⇣
|
{Multi-Player Bandits Revisited},
Lilian Besson, Emilie Kaufmann,
ALT 2018
|
|
|
|
⇣
|
Aggregation of multi-armed bandits learning algorithms for opportunistic spectrum access,
Lilian Besson, Emilie Kaufmann, Christophe Moy,
WCNC 2018
|
|
|
⇣
|
|
Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings Apprentissage de Bandit Multi-Bras dans les réseaux Internet des Objets: l'apprentissage est utile même dans des cas non-stationnaires,
Rémi Bonnefoi, Lilian Besson, Christophe Moy, Emilie Kaufmann, Jacques Palicot,
CROWNCOM 2017 - 12th EAI International Conference on Cognitive Radio Oriented Wireless Networks 2017, Lisbon, Portugal
|
|
|
⇣
|
⇣
|
Monte-Carlo Tree Search by Best Arm Identification,
Emilie Kaufmann, Wouter M. Koolen,
NIPS 2017, Long Beach, United States
|
|
|
⇣
|
⇣
|
Maximin Action Identification - A New Bandit Framework for Games,
Aurélien Garivier, Emilie Kaufmann, Wouter M. Koolen,
COLT 2016, New-York, United States
|
|
|
⇣
|
⇣
|
On Explore-Then-Commit strategies,
Aurélien Garivier, Tor Lattimore, Emilie Kaufmann,
NIPS 2016, Barcelona, Spain
|
|
|
⇣
|
⇣
|
Optimal Best Arm Identification with Fixed Confidence,
Aurélien Garivier, Emilie Kaufmann,
COLT 2016, New York, United States
|
|
|
⇣
|
⇣
|
On the Complexity of A/B Testing,
Emilie Kaufmann ■, Olivier Cappé, Aurélien Garivier,
COLT 2014, Barcelona, Spain
|
|
|
⇣
|
|
Thompson Sampling for one-dimensial exponential family bandits,
Nathaniel Korda, Emilie Kaufmann, Rémi Munos,
NIPS 2013 - Neural Information Processing Systems Conference 2013, Lake Tahoe, United States
|
|
|
⇣
|
⇣
|
Information Complexity in Bandit Subset Selection,
Emilie Kaufmann, Shivaram Kalyanakrishnan,
COLT 2013, Princeton, United States
|
|
|
⇣
|
|
Thompson sampling for one-dimensional exponential family bandits,
Nathaniel Korda, Emilie Kaufmann, Rémi Munos,
Advances in Neural Information Processing Systems 2013, United States
|
|
|
|
⇣
|
Thompson Sampling for 1-Dimensional Exponential Family Bandits,
Nathaniel Korda, Emilie Kaufmann, Rémi Munos,
NIPS 2013
|
|
|
⇣
|
⇣
|
Thompson Sampling - An Asymptotically Optimal Finite-Time Analysis,
Emilie Kaufmann, Nathaniel Korda, Rémi Munos,
ALT 2012, Lyon, France
|
|
|
⇣
|
⇣
|
On Bayesian Upper Confidence Bounds for Bandit Problems,
Emilie Kaufmann, Olivier Cappé, Aurélien Garivier,
AISTATS 2012, La Palma, Iles Canaries, Spain
|
|
|
⇣
|
⇣
|
Fixed-Confidence Guarantees for Bayesian Best-Arm Identification,
Xuedong Shang, Rianne de Heide, Emilie Kaufmann, Pierre Ménard, Michal Valko,
CoRR 2019
|
|
|
|
⇣
|
New Algorithms for Multiplayer Bandits when Arm Means Vary Among Players,
Emilie Kaufmann, Abbas Mehrabian,
CoRR 2019
|
|
|
|
⇣
|
The Generalized Likelihood Ratio Test meets klUCB - an Improved Algorithm for Piece-Wise Non-Stationary Bandits,
Lilian Besson, Emilie Kaufmann,
CoRR 2019
|
|
|
|
⇣
|
On Multi-Armed Bandit Designs for Phase I Clinical Trials,
Maryam Aziz, Emilie Kaufmann, Marie-Karelle Riviere,
CoRR 2019
|
|
|
⇣
|
⇣
|
Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals,
Emilie Kaufmann, Wouter M. Koolen,
CoRR 2018
|
|
|
|
⇣
|
What Doubling Tricks Can and Can't Do for Multi-Armed Bandits,
Lilian Besson, Emilie Kaufmann,
CoRR 2018
|
|
|
|
⇣
|
Multi-Armed Bandit Learning in IoT Networks - Learning helps even in non-stationary settings,
Rémi Bonnefoi, Lilian Besson, Christophe Moy, Emilie Kaufmann, Jacques Palicot,
CoRR 2018
|
|
|
⇣
|
⇣
|
Learning the distribution with largest mean - two bandit frameworks,
Emilie Kaufmann, Aurélien Garivier,
ESAIM: Proceedings and Surveys 2017
|
|
|
|
⇣
|
Corrupt Bandits for Privacy Preserving Input,
Pratik Gajane, Tanguy Urvoy, Emilie Kaufmann,
CoRR 2017
|
|
|
|
⇣
|
Multi-Player Bandits Models Revisited,
Lilian Besson, Emilie Kaufmann,
CoRR 2017
|
|
|
|
⇣
|
Asymptotically Optimal Algorithms for Multiple Play Bandits with Partial Feedback,
Alexander Luedtke, Emilie Kaufmann, Antoine Chambaz,
CoRR 2016
|
|
|
|
⇣
|
Thompson Sampling - An Optimal Finite Time Analysis,
Emilie Kaufmann, Nathaniel Korda, Rémi Munos,
CoRR 2012
|