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authIdHal_s : alessandro-lazaric
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Efficient second-order online kernel learning with adaptive embedding

Daniele Calandriello , Alessandro Lazaric , Michal Valko
Neural Information Processing Systems, 2017, Long Beach, United States
Conference papers hal-01643961v1

Parallel Higher Order Alternating Least Square for Tensor Recommender System

Romain Warlop , Alessandro Lazaric , Jérémie Mary
AAAI 2017 - Thirty-First AAAI Conference on Artificial Intelligence, Feb 2017, San Francisco, United States
Conference papers hal-01628298v1
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Linear Thompson Sampling Revisited

Marc Abeille , Alessandro Lazaric
AISTATS 2017 - 20th International Conference on Artificial Intelligence and Statistics, Apr 2017, Fort Lauderdale, United States
Conference papers hal-01493561v1
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Transfer from Multiple MDPs

Alessandro Lazaric , Marcello Restelli
NIPS - Twenty-Fifth Annual Conference on Neural Information Processing Systems, Dec 2011, Granada, Spain
Conference papers hal-00772620v1
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Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed Bandits

Alexandra Carpentier , Alessandro Lazaric , Mohammad Ghavamzadeh , Rémi Munos , Peter Auer et al.
ALT - the 22nd conference on Algorithmic Learning Theory, Oct 2011, Espoo, Finland
Conference papers hal-00659696v1
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Finite-sample analysis of Lasso-TD

Mohammad Ghavamzadeh , Alessandro Lazaric , Rémi Munos , Matt Hoffman
International Conference on Machine Learning, 2011, United States
Conference papers hal-00830149v1
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Hybrid Stochastic-Adversarial On-line Learning

Lazaric Alessandro , Rémi Munos
COLT 2009 - 22nd Conference on Learning Theory, Jun 2009, Montreal, Canada
Conference papers inria-00392524v1
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Best-Arm Identification in Linear Bandits

Marta Soare , Alessandro Lazaric , Rémi Munos
NIPS - Advances in Neural Information Processing Systems 27, Dec 2014, Montreal, Canada
Conference papers hal-01075701v1
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Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems

Marc Abeille , Alessandro Lazaric
Proceedings of Machine Learning Research, 2018, Proceedings of ICML 2018, 80
Journal articles hal-02767726v1
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Near-linear time Gaussian process optimization with adaptive batching and resparsification

Daniele Calandriello , Luigi Carratino , Alessandro Lazaric , Michal Valko , Lorenzo Rosasco et al.
International Conference on Machine Learning, 2020, Vienna, Austria
Conference papers hal-02950066v1
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Improved large-scale graph learning through ridge spectral sparsification

Daniele Calandriello , Ioannis Koutis , Alessandro Lazaric , Michal Valko
International Conference on Machine Learning, Jul 2018, Stockholm, Sweden
Conference papers hal-01810980v1
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Direct Policy Iteration with Demonstrations

Jessica Chemali , Alessandro Lazaric
IJCAI - 24th International Joint Conference on Artificial Intelligence, Jul 2015, Buenos Aires, Argentina
Conference papers hal-01237659v1
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Large-scale semi-supervised learning with online spectral graph sparsification

Daniele Calandriello , Alessandro Lazaric , Michal Valko
Resource-Efficient Machine Learning workshop at International Conference on Machine Learning, Jul 2015, Lille, France
Conference papers hal-01544929v1
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Reinforcement Learning of POMDPs using Spectral Methods

Kamyar Azizzadenesheli , Alessandro Lazaric , Animashree Anandkumar
Proceedings of the 29th Annual Conference on Learning Theory (COLT2016), Jun 2016, New York City, United States
Conference papers hal-01322207v1
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MESSI: Maximum Entropy Semi-Supervised Inverse Reinforcement Learning

Julien Audiffren , Michal Valko , Alessandro Lazaric , Mohammad Ghavamzadeh
NIPS Workshop on Novel Trends and Applications in Reinforcement Learning, 2014, Montreal, Canada
Conference papers hal-01177446v1
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Classification-based Policy Iteration with a Critic

Victor Gabillon , Alessandro Lazaric , Mohammad Ghavamzadeh , Bruno Scherrer
International Conference on Machine Learning (ICML), Jun 2011, Seattle, United States. pp.1049-1056
Conference papers hal-00644935v1
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Finite-Sample Analysis of Bellman Residual Minimization

Odalric-Ambrym Maillard , Rémi Munos , Alessandro Lazaric , Mohammad Ghavamzadeh
Asian Conference on Machine Learning, 2010, Japan
Conference papers hal-00830212v1
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LSPI with Random Projections

Mohammad Ghavamzadeh , Alessandro Lazaric , Odalric Maillard , Rémi Munos
[Technical Report] 2010
Reports inria-00530762v1
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Multi-Bandit Best Arm Identification

Victor Gabillon , Mohammad Ghavamzadeh , Alessandro Lazaric , Sébastien Bubeck
2011
Reports hal-00632523v3

A Truthful Learning Mechanism for Contextual Multi-Slot Sponsored Search Auctions with Externalities

Alessandro Lazaric , Nicola Gatti , Trov'{o} Francesco
[Research Report] 2012
Reports hal-00662549v1
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Finite-Sample Analysis of LSTD

Alessandro Lazaric , Mohammad Ghavamzadeh , Remi Munos
ICML - 27th International Conference on Machine Learning, Jun 2010, Haifa, Israel. pp.615-622
Conference papers inria-00482189v1
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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
Conference papers hal-01649082v1
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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
Conference papers hal-01537799v1
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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
Conference papers 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
Conference papers hal-00772609v1
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Gaussian process optimization with adaptive sketching: Scalable and no regret

Daniele Calandriello , Luigi Carratino , Alessandro Lazaric , Michal Valko , Lorenzo Rosasco et al.
Conference on Learning Theory, 2019, Phoenix, United States
Conference papers hal-02144311v1

Adversarial Attacks on Linear Contextual Bandits

Evrard Garcelon , Baptiste Roziere , Laurent Meunier , Jean Tarbouriech , Olivier Teytaud et al.
2020
Preprints, Working Papers, ... hal-02979184v1
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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
Conference papers hal-01941220v1
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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⟩
Conference papers hal-01915468v1
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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
Conference papers hal-00924025v1