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Second-Order Kernel Online Convex Optimization with Adaptive Sketching

Daniele Calandriello , Alessandro Lazaric , Michal Valko
International Conference on Machine Learning, 2017, Sydney, Australia
Communication dans un congrès hal-01537799v1
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Regret Minimization in MDPs with Options without Prior Knowledge

Ronan Fruit , Matteo Pirotta , Alessandro Lazaric , Emma Brunskill
NIPS 2017 - Neural Information Processing Systems, Dec 2017, Long Beach, United States. pp.1-36
Communication dans un congrès hal-01649082v1
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Bayesian Multi-Task Reinforcement Learning

Alessandro Lazaric , Mohammad Ghavamzadeh
ICML - 27th International Conference on Machine Learning, Jun 2010, Haifa, Israel. pp.599-606
Communication dans un congrès inria-00475214v1
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Risk-Aversion in Multi-armed Bandits

Amir Sani , Alessandro Lazaric , Rémi Munos
NIPS - Twenty-Sixth Annual Conference on Neural Information Processing Systems, Dec 2012, Lake Tahoe, United States
Communication dans un congrès hal-00772609v1
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Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning

Ronan Fruit , Matteo Pirotta , Alessandro Lazaric , Ronald Ortner
ICML 2018 - The 35th International Conference on Machine Learning, Jul 2018, Stockholm, Sweden. pp.1578-1586
Communication dans un congrès hal-01941206v1
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Least-squares methods for policy iteration

Lucian Busoniu , Alessandro Lazaric , Mohammad Ghavamzadeh , Rémi Munos , Robert Babuska , et al.
Reinforcement Learning: State of the Art, Springer, pp.75-109, 2011
Chapitre d'ouvrage hal-00830122v1
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Distributed adaptive sampling for kernel matrix approximation

Daniele Calandriello , Alessandro Lazaric , Michal Valko
International Conference on Artificial Intelligence and Statistics, 2017, Fort Lauderdale, United States
Communication dans un congrès hal-01482760v1
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Classification-based Policy Iteration with a Critic

Victor Gabillon , Alessandro Lazaric , Mohammad Ghavamzadeh , Bruno Scherrer
2011
Rapport hal-00590972v1
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Sparse Multi-task Reinforcement Learning

Daniele Calandriello , Alessandro Lazaric , Marcello Restelli
NIPS - Advances in Neural Information Processing Systems 26, Dec 2014, Montreal, Canada
Communication dans un congrès hal-01073513v1
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Improved Learning Complexity in Combinatorial Pure Exploration Bandits

Victor Gabillon , Alessandro Lazaric , Mohammad Ghavamzadeh , Ronald Ortner , Peter Bartlett
Proceedings of the 19th International Conference on Artificial Intelligence (AISTATS), May 2016, Cadiz, Spain
Communication dans un congrès hal-01322198v1
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Exploration–Exploitation in MDPs with Options

Ronan Fruit , Alessandro Lazaric
AISTATS 2017 - 20th International Conference on Artificial Intelligence and Statistics, Apr 2017, Fort Lauderdale, United States
Communication dans un congrès hal-01493567v2
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Rotting bandits are not harder than stochastic ones

Julien Seznec , Andrea Locatelli , Alexandra Carpentier , Alessandro Lazaric , Michal Valko
International Conference on Artificial Intelligence and Statistics, 2019, Naha, Japan
Communication dans un congrès hal-01936894v2
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Truthful Learning Mechanisms for Multi–Slot Sponsored Search Auctions with Externalities

Nicola Gatti , Alessandro Lazaric , Marco Rocco , Francesco Trovò
Artificial Intelligence, 2015, 227, pp.93-139. ⟨10.1016/j.artint.2015.05.012⟩
Article dans une revue hal-01237670v1
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Learning with stochastic inputs and adversarial outputs

Alessandro Lazaric , Rémi Munos
Journal of Computer and System Sciences, 2012, 78 (5), pp.1516-1537. ⟨10.1016/j.jcss.2011.12.027⟩
Article dans une revue hal-00772046v1
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A Truthful Learning Mechanism for Contextual Multi--Slot Sponsored Search Auctions with Externalities

Nicola Gatti , Alessandro Lazaric , Francesco Trov'{o}
EC - 13th ACM Conference on Electronic Commerce, Jun 2012, Valencia, Spain
Communication dans un congrès hal-00772624v1
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Maximum Entropy Semi-Supervised Inverse Reinforcement Learning

Julien Audiffren , Michal Valko , Alessandro Lazaric , Mohammad Ghavamzadeh
International Joint Conference on Artificial Intelligence, Jul 2015, Bueons Aires, Argentina
Communication dans un congrès hal-01146187v1
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Word-order biases in deep-agent emergent communication

Rahma Chaabouni , Eugene Kharitonov , Alessandro Lazaric , Emmanuel Dupoux , Marco Baroni
ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Jul 2019, Florence, Italy
Communication dans un congrès hal-02274157v1
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Sequential Transfer in Multi-armed Bandit with Finite Set of Models

Mohammad Gheshlaghi Azar , Alessandro Lazaric , Emma Brunskill
NIPS - Advances in Neural Information Processing Systems 25 - 2013, Dec 2013, Lake Tahoe, United States
Communication dans un congrès hal-00924025v1
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Gaussian process optimization with adaptive sketching: Scalable and no regret

Daniele Calandriello , Luigi Carratino , Alessandro Lazaric , Michal Valko , Lorenzo Rosasco
Conference on Learning Theory, 2019, Phoenix, United States
Communication dans un congrès hal-02144311v1
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Finite-Sample Analysis of Least-Squares Policy Iteration

Alessandro Lazaric , Mohammad Ghavamzadeh , Rémi Munos
Journal of Machine Learning Research, 2012, 13, pp.3041-3074
Article dans une revue hal-00772060v1
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Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence

Victor Gabillon , Mohammad Ghavamzadeh , Alessandro Lazaric
NIPS - Twenty-Sixth Annual Conference on Neural Information Processing Systems, Dec 2012, Lake Tahoe, United States
Communication dans un congrès hal-00772615v1
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Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence

Victor Gabillon , Mohammad Ghavamzadeh , Alessandro Lazaric
[Research Report] 2012
Rapport hal-00747005v2
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Fighting Boredom in Recommender Systems with Linear Reinforcement Learning

Romain Warlop , Alessandro Lazaric , Jérémie Mary
Neural Information Processing Systems, Dec 2018, Montreal, Canada. ⟨10.5555/3326943.3327105⟩
Communication dans un congrès hal-01915468v1
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Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes

Ronan Fruit , Matteo Pirotta , Alessandro Lazaric
32nd Conference on Neural Information Processing Systems, Dec 2018, Montréal, Canada
Communication dans un congrès hal-01941220v1

Adversarial Attacks on Linear Contextual Bandits

Evrard Garcelon , Baptiste Roziere , Laurent Meunier , Jean Tarbouriech , Olivier Teytaud , et al.
2020
Pré-publication, Document de travail hal-02979184v1
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Risk-Aversion in Multi-armed Bandits

Amir Sani , Alessandro Lazaric , Rémi Munos
[Research Report] 2012
Rapport hal-00750298v1
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Pack only the essentials: Adaptive dictionary learning for kernel ridge regression

Daniele Calandriello , Alessandro Lazaric , Michal Valko
Adaptive and Scalable Nonparametric Methods in Machine Learning at Neural Information Processing Systems, 2016, Barcelona, Spain
Communication dans un congrès hal-01482756v1
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Active Learning for Accurate Estimation of Linear Models

Carlos Riquelme , Mohammad Ghavamzadeh , Alessandro Lazaric
ICML 2017 - 34th International Conference on Machine Learning, Aug 2017, Sydney, Australia. pp.36
Communication dans un congrès hal-01538762v1
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Thompson Sampling for Linear-Quadratic Control Problems

Marc Abeille , Alessandro Lazaric
AISTATS 2017 - 20th International Conference on Artificial Intelligence and Statistics, Apr 2017, Fort Lauderdale, United States
Communication dans un congrès hal-01493564v1
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Finite-Sample Analysis of Least-Squares Policy Iteration

Alessandro Lazaric , Mohammad Ghavamzadeh , Rémi Munos
[Technical Report] 2010
Rapport inria-00528596v1