pith. sign in

Alessandro Lazaric

Identifiers

  • name variant Alessandro Lazaric 0.60 · backfill

Papers (83)

  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. Embodied AI Agents: Modeling the World cs.AI · 2025 · author #10
  10. Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models cs.LG · 2025 · author #7
  11. Fast Adaptation with Behavioral Foundation Models cs.LG · 2025 · author #8
  12. Temporal Difference Flows cs.LG · 2025 · author #5
  13. System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes cs.IR · 2024 · author #3
  14. Simple Ingredients for Offline Reinforcement Learning cs.LG · 2024 · author #4
  15. Reinforcement Learning with Options and State Representation cs.LG · 2024 · author #3
  16. Layered State Discovery for Incremental Autonomous Exploration cs.LG · 2023 · author #3
  17. Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping cs.RO · 2023 · author #4
  18. On the Complexity of Representation Learning in Contextual Linear Bandits cs.LG · 2022 · author #3
  19. Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler cs.LG · 2022 · author #3
  20. Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees cs.LG · 2022 · author #4
  21. Contextual bandits with concave rewards, and an application to fair ranking cs.LG · 2022 · author #4
  22. Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path cs.LG · 2022 · author #4
  23. Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies cs.LG · 2022 · author #4
  24. Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL cs.LG · 2022 · author #5
  25. Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning cs.LG · 2022 · author #6
  26. Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times stat.ML · 2022 · author #3
  27. Top $K$ Ranking for Multi-Armed Bandit with Noisy Evaluations cs.LG · 2021 · author #3
  28. Differentially Private Exploration in Reinforcement Learning with Linear Representation cs.LG · 2021 · author #3
  29. Adaptive Multi-Goal Exploration cs.LG · 2021 · author #6
  30. Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection cs.LG · 2021 · author #5
  31. Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching cs.LG · 2021 · author #4
  32. A general sample complexity analysis of vanilla policy gradient cs.LG · 2021 · author #3
  33. Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning cs.AI · 2021 · author #3
  34. A Fully Problem-Dependent Regret Lower Bound for Finite-Horizon MDPs cs.LG · 2021 · author #3
  35. A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning cs.LG · 2021 · author #6
  36. Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret cs.LG · 2021 · author #6
  37. Leveraging Good Representations in Linear Contextual Bandits cs.LG · 2021 · author #4
  38. Reinforcement Learning with Prototypical Representations cs.LG · 2021 · author #3
  39. Improved Sample Complexity for Incremental Autonomous Exploration in MDPs cs.LG · 2020 · author #4
  40. An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits cs.LG · 2020 · author #4
  41. Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration cs.LG · 2020 · author #2
  42. Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation stat.ML · 2020 · author #2
  43. A Provably Efficient Sample Collection Strategy for Reinforcement Learning cs.LG · 2020 · author #4
  44. Improved Analysis of UCRL2 with Empirical Bernstein Inequality cs.LG · 2020 · author #3
  45. Sketched Newton-Raphson math.NA · 2020 · author #2
  46. A Novel Confidence-Based Algorithm for Structured Bandits cs.LG · 2020 · author #2
  47. Meta-learning with Stochastic Linear Bandits stat.ML · 2020 · author #2
  48. Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization cs.LG · 2020 · author #3
  49. Active Model Estimation in Markov Decision Processes stat.ML · 2020 · author #5
  50. Learning Near Optimal Policies with Low Inherent Bellman Error cs.LG · 2020 · author #2
  51. Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification stat.ML · 2020 · author #3
  52. Adversarial Attacks on Linear Contextual Bandits cs.LG · 2020 · author #6
  53. Improved Algorithms for Conservative Exploration in Bandits cs.LG · 2020 · author #3
  54. Conservative Exploration in Reinforcement Learning cs.LG · 2020 · author #3
  55. Concentration Inequalities for Multinoulli Random Variables cs.LG · 2020 · author #4
  56. No-Regret Exploration in Goal-Oriented Reinforcement Learning stat.ML · 2019 · author #5
  57. Frequentist Regret Bounds for Randomized Least-Squares Value Iteration cs.LG · 2019 · author #5
  58. A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning cs.LG · 2019 · author #3
  59. Word-order biases in deep-agent emergent communication cs.CL · 2019 · author #3
  60. Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret stat.ML · 2019 · author #3
  61. Active Exploration in Markov Decision Processes stat.ML · 2019 · author #2
  62. Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes cs.LG · 2018 · author #4
  63. Rotting bandits are not harder than stochastic ones stat.ML · 2018 · author #4
  64. Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes cs.LG · 2018 · author #3
  65. Distributed Adaptive Sampling for Kernel Matrix Approximation stat.ML · 2018 · author #2
  66. Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning cs.LG · 2018 · author #3
  67. Second-Order Kernel Online Convex Optimization with Adaptive Sketching stat.ML · 2017 · author #2
  68. Experimental results : Reinforcement Learning of POMDPs using Spectral Methods cs.AI · 2017 · author #2
  69. Thompson Sampling for Linear-Quadratic Control Problems stat.ML · 2017 · author #2
  70. Exploration--Exploitation in MDPs with Options cs.LG · 2017 · author #2
  71. Active Learning for Accurate Estimation of Linear Models stat.ML · 2017 · author #3
  72. Linear Thompson Sampling Revisited stat.ML · 2016 · author #2
  73. Reinforcement Learning in Rich-Observation MDPs using Spectral Methods cs.AI · 2016 · author #2
  74. Analysis of Kelner and Levin graph sparsification algorithm for a streaming setting stat.ML · 2016 · author #2
  75. Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies cs.AI · 2016 · author #2
  76. Reinforcement Learning of POMDPs using Spectral Methods cs.AI · 2016 · author #2
  77. Incremental Spectral Sparsification for Large-Scale Graph-Based Semi-Supervised Learning stat.ML · 2016 · author #2
  78. Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed Bandits cs.LG · 2015 · author #2
  79. Best-Arm Identification in Linear Bandits cs.LG · 2014 · author #2
  80. Truthful Learning Mechanisms for Multi-Slot Sponsored Search Auctions with Externalities cs.GT · 2014 · author #2
  81. Online Stochastic Optimization under Correlated Bandit Feedback stat.ML · 2014 · author #2
  82. Sequential Transfer in Multi-armed Bandit with Finite Set of Models stat.ML · 2013 · author #2
  83. Regret Bounds for Reinforcement Learning with Policy Advice stat.ML · 2013 · author #2

Mentions

  • 2506.22355 #10 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2504.11054 #7 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2504.07896 #8 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2503.09817 #5 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2406.01611 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2403.10855 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2403.13097 #4 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1911.00567 #5 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2210.09957 #4 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2210.01400 #4 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2302.03789 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2301.02099 #4 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2212.09429 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2107.11433 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2211.02233 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2210.13083 #4 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2210.04946 #4 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2006.12120 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2110.14457 #4 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2112.06517 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2201.13425 #6 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2203.11369 #5 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2106.11692 #6 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2111.12045 #6 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2201.12909 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2104.11186 #6 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2112.01585 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2007.06437 #4 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2110.14798 #5 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2107.09645 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2102.11271 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2106.13013 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2104.03781 #4 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2012.14755 #4 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2010.12247 #4 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2002.03839 #6 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2008.07737 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1912.03517 #5 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2002.03218 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2007.06482 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2007.05456 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2003.00153 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2003.03297 #5 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2005.11593 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2005.08531 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1811.11043 #4 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2005.02934 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2002.09954 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2002.03221 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 2001.11595 #4 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1611.06534 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1910.08809 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1903.05594 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1905.12330 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1807.02373 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1902.11199 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1812.04363 #4 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1802.04020 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1611.03907 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1803.10172 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1703.00579 #3 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1705.02553 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1706.04892 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1703.08667 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1703.08972 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1609.03769 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1608.04996 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1601.05675 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1507.04523 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1409.6110 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1405.2484 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1307.6887 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1305.1027 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1602.07764 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1402.0562 #2 · arxiv_oai · confidence 0.70 Alessandro Lazaric
  • 1507.04523 #2 · backfill · confidence 0.70 Alessandro Lazaric
  • 1409.6110 #2 · backfill · confidence 0.70 Alessandro Lazaric
  • 1405.2484 #2 · backfill · confidence 0.70 Alessandro Lazaric
  • 1402.0562 #2 · backfill · confidence 0.70 Alessandro Lazaric
  • 1307.6887 #2 · backfill · confidence 0.70 Alessandro Lazaric
  • 1305.1027 #2 · backfill · confidence 0.70 Alessandro Lazaric

Frequent Coauthors