Filter your results
- 16
- 15
- 24
- 3
- 2
- 2
- 30
- 11
- 8
- 2
- 1
- 1
- 1
- 5
- 11
- 5
- 3
- 1
- 1
- 1
- 2
- 2
- 29
- 2
- 22
- 22
- 8
- 4
- 4
- 2
- 1
- 1
- 1
- 31
- 9
- 5
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
31 Results
|
|
sorted by
|
|
Farm-gym: A modular reinforcement learning platform for stochastic agronomic gamesAIAFS 2023 - Artificial Intelligence for Agriculture and Food Systems, Feb 2023, Wahington DC, United States
Conference papers
hal-03960683v1
|
||
|
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement LearningUAI 2022- Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, Aug 2022, Eindhoven, Netherlands. pp.631-640
Conference papers
hal-03150823v2
|
||
|
Pure Exploration in Bandits with Linear ConstraintsEWRL 2023 – European Workshop on Reinforcement Learning, Sep 2023, Brussels, Belgium
Conference papers
hal-04203235v1
|
||
|
On the Complexity of Differentially Private Best-Arm Identification with Fixed ConfidenceEWRL 2023 – European Workshop on Reinforcement Learning, Sep 2023, Brussels, Belgium
Conference papers
hal-04215474v1
|
||
Top-k Queries Over Uncertain ScoresOn the Move to Meaningful Internet Systems (OTM-CoopIS 2016), Oct 2016, Rhodes, Greece. pp.245-262, ⟨10.1007/978-3-319-48472-3_14⟩
Conference papers
hal-01700174v1
|
|||
|
On Meritocracy in Optimal Set SelectionEAAMO 2022- Equity and Access in Algorithms, Mechanisms, and Optimization, ACM, Oct 2022, Arlington, United States
Conference papers
hal-03445971v1
|
||
|
Regularized Cost-Model Oblivious Database Tuning with Reinforcement LearningAbdelkader Hameurlain; Josef Küng; Roland Wagner; Qimin Chen. Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVIII, 9940, Springer Verlag, pp.96-132, 2016, Lecture Notes in Computer Science, ⟨10.1007/978-3-662-53455-7_5⟩
Book sections
hal-02115175v1
|
||
How to Find the Best Rated Items on a Likert Scale and How Many Ratings Are EnoughDatabase and Expert Systems Applications - 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part II, 2017, Lyon, France. pp.351-359, ⟨10.1007/978-3-319-64471-4_28⟩
Conference papers
hal-02412320v1
|
|||
|
How Biased are Your Features?": Computing Fairness Influence Functions with Global Sensitivity AnalysisFAccT '23: the 2023 ACM Conference on Fairness, Accountability, and Transparency, Jun 2022, Chicago IL, United States. pp.138-148, ⟨10.1145/3593013.3593983⟩
Conference papers
hal-03770346v1
|
||
|
Algorithmic fairness verification with graphical modelsAAAI-2022 - 36th AAAI Conference on Artificial Intelligence, Feb 2022, Virtual, United States
Conference papers
hal-03770361v1
|
||
|
When Privacy Meets Partial Information: A Refined Analysis of Differentially Private BanditsAdvances in Neural Information Processing Systems, Dec 2022, New Orleans, United States
Conference papers
hal-03781600v1
|
||
|
Differential Privacy at Risk: Bridging Randomness and Privacy BudgetProceedings on Privacy Enhancing Technologies, 2021, 2021 (1), pp.64-84. ⟨10.2478/popets-2021-0005⟩
Journal articles
hal-02942997v1
|
||
|
Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & PlanningEWRL 2022 – European Workshop on Reinforcement Learning, Sep 2022, Milan, Italy
Conference papers
hal-03790997v1
|
||
|
Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy UncertaintyOptLearnMAS@AAMAS, May 2022, Virtual, New Zealand
Conference papers
hal-03770369v1
|
||
|
Justicia: A Stochastic SAT Approach to Formally Verify FairnessAAAI Conference on Artificial Intelligence, Feb 2021, Virtual, Canada. pp.7554-7563
Conference papers
hal-03445831v1
|
||
|
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning"I Can't Believe It's Not Better!" at NeurIPS Workshops, Dec 2020, Vancouver, Canada. pp.43-52
Conference papers
hal-03125100v1
|
||
|
BelMan: An Information-Geometric Approach to Stochastic BanditsECML/PKDD - The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2019, Würzburg, Germany
Conference papers
hal-02195539v1
|
||
Federated Learning of Oligonucleotide Drug Molecule Thermodynamics with Differentially Private ADMM-Based SVMMachine Learning and Principles and Practice of Knowledge Discovery in Databases, 1525, Springer International Publishing; Springer International Publishing, pp.459-467, 2021, Communications in Computer and Information Science, ⟨10.1007/978-3-030-93733-1_34⟩
Book sections
hal-03841224v1
|
|||
|
Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-fidelity FeedbackAAAI Conference on Artificial Intelligence, Feb 2022, Virtual, United States. pp.10381-10390
Conference papers
hal-03445909v1
|
||
|
Deep Learning for Deep Waters: An Expert-in-the-Loop Machine Learning Framework for Marine SciencesJournal of Marine Science and Engineering, 2021, 9 (2), pp.169. ⟨10.3390/jmse9020169⟩
Journal articles
hal-03445756v1
|
||
|
Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement LearningSIGMOD/PODS '21: International Conference on Management of Data, Jun 2021, Virtual Event, China. pp.2794-2797, ⟨10.1145/3448016.3452754⟩
Conference papers
hal-03446016v1
|
||
|
Bandits Corrupted by Nature: Lower Bounds on Regret and Robust Optimistic Algorithm2022
Preprints, Working Papers, ...
hal-03611816v1
|
||
|
Online Instrumental Variable Regression: Regret Analysis and Bandit Feedback2023
Preprints, Working Papers, ...
hal-03831210v2
|
||
Apprentissage par renforcement pour optimiser les bases de donnéees indépendamment du modèle de coûtBDA, Sep 2015, Porquerolles, France
Conference papers
hal-02287156v1
|
|||
Cost-Model Oblivious Database Tuning with Reinforcement LearningDEXA, Sep 2015, Valencia, Spain. pp.253-268
Conference papers
hal-01261945v1
|
|||
|
Confidentialité différentielle à risque : Relier les sources d’aléa et un budget de confidentialitéBDA 2020 - 36ème Conférence sur la Gestion de Données – Principes, Technologies et Applications, Oct 2020, Paris / Virtuel, France
Conference papers
hal-03103528v1
|
||
|
BelMan: Bayesian Bandits on the Belief--Reward Manifold2018
Preprints, Working Papers, ...
hal-01891813v1
|
||
|
SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-CriticsRLDM 2022 - The Multi-disciplinary Conference on Reinforcement Learning and Decision Making, Jun 2022, Providence, United States
Conference papers
hal-03771734v1
|
||
|
Construction and Random Generation of Hypergraphs with Prescribed Degree and Dimension SequencesDEXA, 2020, Bratislava, Slovenia
Conference papers
hal-02541206v1
|
||
|
UDO: Universal Database Optimization using Reinforcement LearningProceedings of the VLDB Endowment, Sep 2022, Sydney, Australia. pp.3402-3414, ⟨10.14778/3484224.3484236⟩
Conference papers
hal-03445686v1
|
- 1
- 2