Alessandro Lazaric

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Papers (30)

1. Trading off rewards and errors in multi-armed bandits cs.LG · 2026 · author #2
2. Large-scale semi-supervised learning with online spectral graph sparsification cs.LG · 2026 · author #2
3. Pack only the essentials: Adaptive dictionary learning for kernel ridge regression stat.ML · 2026 · author #2
4. A single algorithm for both restless and rested rotting bandits stat.ML · 2026 · author #3
5. Improved large-scale graph learning through ridge spectral sparsification cs.LG · 2026 · author #3
6. Analysis of Nystrom method with sequential ridge leverage scores cs.LG · 2026 · author #2
7. Maximum Entropy Semi-Supervised Inverse Reinforcement Learning cs.LG · 2026 · author #3
8. Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model cs.LG · 2026 · author #4
9. Word-order biases in deep-agent emergent communication cs.CL · 2019 · author #3
10. Active Exploration in Markov Decision Processes stat.ML · 2019 · author #2
11. Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes cs.LG · 2018 · author #4
12. Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes cs.LG · 2018 · author #3
13. Distributed Adaptive Sampling for Kernel Matrix Approximation stat.ML · 2018 · author #2
14. Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning cs.LG · 2018 · author #3
15. Second-Order Kernel Online Convex Optimization with Adaptive Sketching stat.ML · 2017 · author #2
16. Experimental results : Reinforcement Learning of POMDPs using Spectral Methods cs.AI · 2017 · author #2
17. Thompson Sampling for Linear-Quadratic Control Problems stat.ML · 2017 · author #2
18. Exploration--Exploitation in MDPs with Options cs.LG · 2017 · author #2
19. Active Learning for Accurate Estimation of Linear Models stat.ML · 2017 · author #3
20. Reinforcement Learning in Rich-Observation MDPs using Spectral Methods cs.AI · 2016 · author #2
21. Analysis of Kelner and Levin graph sparsification algorithm for a streaming setting stat.ML · 2016 · author #2
22. Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies cs.AI · 2016 · author #2
23. Reinforcement Learning of POMDPs using Spectral Methods cs.AI · 2016 · author #2
24. Incremental Spectral Sparsification for Large-Scale Graph-Based Semi-Supervised Learning stat.ML · 2016 · author #2
25. Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed Bandits cs.LG · 2015 · author #2
26. Best-Arm Identification in Linear Bandits cs.LG · 2014 · author #2
27. Truthful Learning Mechanisms for Multi-Slot Sponsored Search Auctions with Externalities cs.GT · 2014 · author #2
28. Online Stochastic Optimization under Correlated Bandit Feedback stat.ML · 2014 · author #2
29. Sequential Transfer in Multi-armed Bandit with Finite Set of Models stat.ML · 2013 · author #2
30. Regret Bounds for Reinforcement Learning with Policy Advice stat.ML · 2013 · author #2

Mentions

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Frequent Coauthors

• Michal Valko 12 shared papers
• Daniele Calandriello 8 shared papers
• Animashree Anandkumar 4 shared papers
• Emma Brunskill 4 shared papers
• Kamyar Azizzadenesheli 4 shared papers
• Matteo Pirotta 4 shared papers
• Ronan Fruit 4 shared papers
• Mohammad Ghavamzadeh 3 shared papers
• Mohammad Gheshlaghi Azar 3 shared papers
• Ioannis Koutis 2 shared papers
• Jean Tarbouriech 2 shared papers
• R\'emi Munos 2 shared papers
• Akram Erraqabi 1 shared papers
• Alexandra Carpentier 1 shared papers
• Andr\'as Antos 1 shared papers
• Carlos Riquelme 1 shared papers
• Emmanuel Dupoux 1 shared papers
• Eugene Kharitonov 1 shared papers
• Francesco Trov\`o 1 shared papers
• Jian Qian 1 shared papers