Search - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly

Filter your results

102 Results
authIdHal_s : michal
Image document

Covariance-adapting algorithm for semi-bandits with application to sparse outcomes

Pierre Perrault , Vianney Perchet , Michal Valko
Conference on Learning Theory, 2020, Graz, Austria
Conference papers hal-02876102v1
Image document

Adaptive multi-fidelity optimization with fast learning rates

Côme Fiegel , Victor Gabillon , Michal Valko
International Conference on Artificial Intelligence and Statistics, 2020, Palermo, Italy
Conference papers hal-03288879v1
Image document

Statistical efficiency of Thompson sampling for combinatorial semi-bandits

Pierre H Richemond , Jean-Bastien Grill , Florent Altché , Corentin Tallec , Florian Strub , et al.
Neural Information Processing Systems Conference, Dec 2020, Virtual, France
Conference papers hal-03288983v1
Image document

Episodic reinforcement learning in finite MDPs: Minimax lower bounds revisited

Omar Darwiche Domingues , Pierre Ménard , Emilie Kaufmann , Michal Valko
Algorithmic Learning Theory, Mar 2021, Paris / Virtual, France
Conference papers hal-03289004v1
Image document

Revisiting Peng's Q(λ) for for modern reinforcement learning

Tadashi Kozuno , Yunhao Tang , Mark Rowland , Rémi Munos , Steven Kapturowski , et al.
International Conference on Machine Learning, Jul 2021, Vienna / Virtual, Austria
Conference papers hal-03289292v1
Image document

Online A-optimal design and active linear regression

Xavier Fontaine , Pierre Perrault , Michal Valko , Vianney Perchet
International Conference on Machine Learning, Jul 2021, Vienna / Virtual, Austria
Conference papers hal-03289318v1
Image document

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
Image document

Taylor expansion policy optimization

Yunhao Tang , Michal Valko , Rémi Munos
International Conference on Machine Learning, 2020, Vienna, Austria
Conference papers hal-02509561v1
Image document

On two ways to use determinantal point processes for Monte Carlo integration -- Long version

Guillaume Gautier , Rémi Bardenet , Michal Valko
NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Jun 2019, Vancouver, Canada
Conference papers hal-02277739v1
Image document

Evidence-based Anomaly Detection in Clinical Domains

Milos Hauskrecht , Michal Valko , Branislav Kveton , Shyam Visweswaran , Gregory F. Cooper
Annual American Medical Informatics Association Symposium, 2007, Chicago, United States. pp.319--324
Conference papers hal-00643401v1
Image document

Spectral Bandits for Smooth Graph Functions

Michal Valko , Rémi Munos , Branislav Kveton , Tomáš Kocák
International Conference on Machine Learning, May 2014, Beijing, China
Conference papers hal-00986818v3
Image document

Bayesian Policy Gradient and Actor-Critic Algorithms

Mohammad Ghavamzadeh , Yaakov Engel , Michal Valko
Journal of Machine Learning Research, 2016, 17 (66), pp.1-53
Journal articles hal-00776608v2
Image document

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, AutoML@ICML 2019 - 6th ICML Workshop on Automated Machine Learning, Jun 2019, Long Beach, United States
Conference papers hal-02145200v1
Image document

Fast active learning for pure exploration in reinforcement learning

Pierre Ménard , Omar Darwiche Domingues , Emilie Kaufmann , Anders Jonsson , Edouard Leurent , et al.
International Conference on Machine Learning, Jul 2021, Vienna, Austria
Conference papers hal-02906985v3
Image document

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
Image document

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
Image document

Spectral Bandits for Smooth Graph Functions with Applications in Recommender Systems

Tomáš Kocák , Michal Valko , Rémi Munos , Branislav Kveton , Shipra Agrawal
AAAI Workshop on Sequential Decision-Making with Big Data, Jul 2014, Québec City, Canada
Conference papers hal-01045036v1
Image document

Extreme bandits

Alexandra Carpentier , Michal Valko
Neural Information Processing Systems, Dec 2014, Montréal, Canada
Conference papers hal-01079354v2
Image document

Efficient learning by implicit exploration in bandit problems with side observations

Tomáš Kocák , Gergely Neu , Michal Valko , Rémi Munos
Neural Information Processing Systems, Dec 2014, Montréal, Canada
Conference papers hal-01079351v2
Image document

Conditional anomaly detection methods for patient-management alert systems

Michal Valko , Gregory F. Cooper , Amy Seybert , Shyam Visweswaran , Melissa Saul , et al.
Workshop on Machine Learning in Health Care Applications in The 25th International Conference on Machine Learning, Jul 2008, Helsinki, Finland
Conference papers hal-00643221v1
Image document

Learning predictive models for combinations of heterogeneous proteomic data sources

Michal Valko , Richard Pelikan , Milos Hauskrecht
AMIA Summit on Translational Bioinformatics, Mar 2008, San Francisco, United States
Conference papers hal-00643349v1
Image document

Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning

Jean-Bastien Grill , Michal Valko , Rémi Munos
Neural Information Processing Systems, Dec 2016, Barcelona, Spain
Conference papers hal-01389107v3
Image document

Black-box optimization of noisy functions with unknown smoothness

Jean-Bastien Grill , Michal Valko , Rémi Munos
Neural Information Processing Systems, 2015, Montréal, Canada
Conference papers hal-01222915v4
Image document

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
Image document

A Comparison of Chief Complaints and Emergency Department Reports for Identifying Patients with Acute Lower Respiratory Syndrome

Wendy Chapman , John Dowling , Gregory F Cooper , Milos Hauskrecht , Michal Valko
International Society for Disease Surveillance, Oct 2006, Baltimore, United States
Conference papers hal-00643495v1
Image document

Near-linear time Gaussian process optimization with adaptive batching and resparsification

Daniele Calandriello , Luigi Carratino , Alessandro Lazaric , Michal Valko , Lorenzo Rosasco
International Conference on Machine Learning, 2020, Vienna, Austria
Conference papers hal-02950066v1
Image document

A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption

Peter Bartlett , Victor Gabillon , Michal Valko
Algorithmic Learning Theory, 2019, Chicago, United States
Conference papers hal-01885368v2
Image document

Exact sampling of determinantal point processes with sublinear time preprocessing

Michał Dereziński , Daniele Calandriello , Michal Valko
Neural Information Processing Systems, 2019, Vancouver, Canada
Conference papers hal-02387524v1
Image document

Monte-Carlo tree search as regularized policy optimization

Jean-Bastien Grill , Florent Altché , Yunhao Tang , Thomas Hubert , Michal Valko , et al.
International Conference on Machine Learning, 2020, Vienna, Austria
Conference papers hal-02950136v1
Image document

Bootstrap Your Own Latent: A new approach to self-supervised learning

Jean-Bastien Grill , Florian Strub , Florent Altché , Corentin Tallec , Pierre H Richemond , et al.
Neural Information Processing Systems, 2020, Montréal, Canada
Conference papers hal-02869787v2