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Active multiple matrix completion with adaptive confidence sets

Andrea Locatelli , Alexandra Carpentier , Michal Valko
International Conference on Artificial Intelligence and Statistics, 2019, Okinawa, Japan
Conference papers hal-02387468v1
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Derivative-free & order-robust optimisation

Victor Gabillon , Rasul Tutunov , Michal Valko , Haitham Bou Ammar
International Conference on Artificial Intelligence and Statistics, Aug 2020, Palermo / Virtual, Italy
Conference papers hal-03288939v1
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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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Learning from a Single Labeled Face and a Stream of Unlabeled Data

Branislav Kveton , Michal Valko
10th IEEE International Conference on Automatic Face and Gesture Recognition, Apr 2013, Shanghai, China
Conference papers hal-00749197v2
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Conditional Anomaly Detection Using Soft Harmonic Functions: An Application to Clinical Alerting

Michal Valko , Hamed Valizadegan , Branislav Kveton , Gregory Cooper , Milos Hauskrecht et al.
The 28th International Conference on Machine Learning Workshop on Machine Learning for Global Challenges, Jun 2011, Seattle, United States
Conference papers hal-00642313v1
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Bandits attack function optimization

Philippe Preux , Rémi Munos , Michal Valko
IEEE Congress on Evolutionary Computation, Jul 2014, Beijing, China
Conference papers hal-00978637v1
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Gamification of pure exploration for linear bandits

Rémy Degenne , Pierre Ménard , Xuedong Shang , Michal Valko
International Conference on Machine Learning, 2020, Vienna / Virtual, Austria
Conference papers hal-02884330v1
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Sampling from a k-DPP without looking at all items

Daniele Calandriello , Michał Dereziński , Michal Valko
Neural Information Processing Systems, 2020, Montréal, Canada
Conference papers hal-03287832v1
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Fixed-confidence guarantees for Bayesian best-arm identification

Xuedong Shang , Rianne de Heide , Emilie Kaufmann , Pierre Ménard , Michal Valko et al.
International Conference on Artificial Intelligence and Statistics, 2020, Palermo, Italy
Conference papers hal-02330187v2
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No-regret exploration in goal-oriented reinforcement learning

Jean Tarbouriech , Evrard Garcelon , Michal Valko , Matteo Pirotta , Alessandro Lazaric et al.
International Conference on Machine Learning, 2020, Vienna / Virtual, Austria
Conference papers hal-03287824v1
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Kernel-based reinforcement Learning: A finite-time analysis

Omar D Domingues , Pierre Ménard , Matteo Pirotta , Emilie Kaufmann , Michal Valko et al.
International Conference on Machine Learning, Jul 2021, Vienna / Virtual, Austria
Conference papers hal-02541790v2
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Semi-Supervised Learning with Max-Margin Graph Cuts

Branislav Kveton , Michal Valko , Ali Rahimi , Ling Huang
International Conference on Artificial Intelligence and Statistics, May 2010, Chia Laguna, Sardinia, Italy
Conference papers hal-00642891v1
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On two ways to use determinantal point processes for Monte Carlo integration

Guillaume Gautier , R. Bardenet , Michal Valko
NEGDEPML 2019 - ICML Workshop on Negative Dependence in ML, Jun 2019, Long Beach, CA, United States
Conference papers hal-02160382v1
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Planning in Markov Decision Processes with Gap-Dependent Sample Complexity

Anders Jonsson , Emilie Kaufmann , Pierre Ménard , Omar D Domingues , Edouard Leurent et al.
Neural Information Processing Systems, 2020, Vancouver, France
Conference papers hal-02863486v2
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Zonotope hit-and-run for efficient sampling from projection DPPs

Guillaume Gautier , Rémi Bardenet , Michal Valko
International Conference on Machine Learning, 2017, Sydney, Australia
Conference papers hal-01526577v2
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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
Conference papers hal-01146187v1
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Bandits on graphs and structures

Michal Valko
Machine Learning [stat.ML]. École normale supérieure de Cachan - ENS Cachan, 2016
Habilitation à diriger des recherches tel-01359757v1
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Rotting bandits are not harder than stochastic ones

Julien Seznec , Andrea Locatelli , Alexandra Carpentier , Alessandro Lazaric , Michal Valko et al.
International Conference on Artificial Intelligence and Statistics, 2019, Naha, Japan
Conference papers hal-01936894v2
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A single algorithm for both restless and rested rotting bandits

Julien Seznec , Pierre Menard , Alessandro Lazaric , Michal Valko
International Conference on Artificial Intelligence and Statistics, Aug 2020, Palermo / Virtual, Italy
Conference papers hal-03287835v1
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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
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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
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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
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Taylor expansion policy optimization

Yunhao Tang , Michal Valko , Rémi Munos
International Conference on Machine Learning, 2020, Vienna, Austria
Conference papers hal-02509561v1
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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
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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
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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
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Evidence-based Anomaly Detection in Clinical Domains

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