Search - Archive ouverte HAL Access content directly

Filter your results

28 Results

UDO: Universal Database Optimization using Reinforcement Learning

Junxiong Wang , Immanuel Trummer , Debabrota Basu
Proceedings of the VLDB Endowment, Sep 2022, Sydney, Australia. pp.3402-3414, ⟨10.14778/3484224.3484236⟩
Conference papers hal-03445686v1
Image document

Construction and Random Generation of Hypergraphs with Prescribed Degree and Dimension Sequences

Naheed Anjum Arafat , Debabrota Basu , Laurent Decreusefond , Stéphane Bressan
DEXA, 2020, Bratislava, Slovenia
Conference papers hal-02541206v1
Image document

SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics

Yannis Flet-Berliac , Debabrota Basu
RLDM 2022 - The Multi-disciplinary Conference on Reinforcement Learning and Decision Making, Jun 2022, Providence, United States
Conference papers hal-03771734v1

Top-k Queries Over Uncertain Scores

Qing Liu , Debabrota Basu , Talel Abdessalem , Stéphane Bressan
On 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
Image document

SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning

Hannes Eriksson , Debabrota Basu , Mina Alibeigi , Christos Dimitrakakis
UAI 2022- Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, Aug 2022, Eindhoven, Netherlands. pp.631-640
Conference papers hal-03150823v2
Image document

Farm-gym: A modular reinforcement learning platform for stochastic agronomic games

Odalric-Ambrym Maillard , Timothée Mathieu , Debabrota Basu
Artificial Intelligence for Agriculture and Food Systems (AIAFS), Feb 2023, Wahington DC, United States
Conference papers hal-03960683v1

How to Find the Best Rated Items on a Likert Scale and How Many Ratings Are Enough

Qing Liu , Debabrota Basu , Shruti Goel , Talel Abdessalem , Stéphane Bressan et al.
Database 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
Image document

Regularized Cost-Model Oblivious Database Tuning with Reinforcement Learning

Debabrota Basu , Qian Lin , Weidong Chen , Hoang Tam Vo , Zihong Yuan et al.
Abdelkader 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

On Meritocracy in Optimal Set Selection

Thomas Kleine Buening , Meirav Segal , Debabrota Basu , Anne-Marie George , Christos Dimitrakakis et al.
EAAMO 2022- Equity and Access in Algorithms, Mechanisms, and Optimization, ACM, Oct 2022, Arlington, United States
Conference papers hal-03445971v1

Federated Learning of Oligonucleotide Drug Molecule Thermodynamics with Differentially Private ADMM-Based SVM

Shirin Tavara , Alexander Schliep , Debabrota Basu
Machine 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

Deep Learning for Deep Waters: An Expert-in-the-Loop Machine Learning Framework for Marine Sciences

Igor Ryazanov , Amanda Nylund , Debabrota Basu , Ida-Maja Hassellöv , Alexander Schliep et al.
Journal of Marine Science and Engineering, 2021, 9 (2), pp.169. ⟨10.3390/jmse9020169⟩
Journal articles hal-03445756v1
Image document

Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-fidelity Feedback

Junxiong Wang , Debabrota Basu , Immanuel Trummer
AAAI Conference on Artificial Intelligence, Feb 2022, Virtual, United States. pp.10381-10390
Conference papers hal-03445909v1
Image document

Online Instrumental Variable Regression: Regret Analysis and Bandit Feedback

Riccardo Della Vecchia , Debabrota Basu
2022
Preprints, Working Papers, ... hal-03831210v1
Image document

Differential Privacy at Risk: Bridging Randomness and Privacy Budget

Ashish Dandekar , Debabrota Basu , Stéphane Bressan
Proceedings on Privacy Enhancing Technologies, 2021, 2021 (1), pp.64-84. ⟨10.2478/popets-2021-0005⟩
Journal articles hal-02942997v1
Image document

Algorithmic fairness verification with graphical models

Bishwamittra Ghosh , Debabrota Basu , Kuldeep S. Meel
AAAI-2022 - 36th AAAI Conference on Artificial Intelligence, Feb 2022, Virtual, United States
Conference papers hal-03770361v1
Image document

When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits

Achraf Azize , Debabrota Basu
Advances in Neural Information Processing Systems, Dec 2022, New Orleans, United States
Conference papers hal-03781600v1

How Biased is Your Feature?: Computing Fairness Influence Functions with Global Sensitivity Analysis

Bishwamittra Ghosh , Debabrota Basu , Kuldeep S. Meel
2022
Preprints, Working Papers, ... hal-03770346v1

Apprentissage par renforcement pour optimiser les bases de donnéees indépendamment du modèle de coût

Debabrota Basu , Qian Lin , Zihong Yuan , Pierre Senellart , Stéphane Bressan et al.
BDA, Sep 2015, Porquerolles, France
Conference papers hal-02287156v1

BelMan: Bayesian Bandits on the Belief--Reward Manifold

Debabrota Basu , Pierre Senellart , Stéphane Bressan
2018
Preprints, Working Papers, ... hal-01891813v1

Cost-Model Oblivious Database Tuning with Reinforcement Learning

Debabrota Basu , Qian Lin , Weidong Chen , Hoang Tam Vo , Zihong Yuan et al.
DEXA, Sep 2015, Valencia, Spain. pp.253-268
Conference papers hal-01261945v1
Image document

Confidentialité différentielle à risque : Relier les sources d’aléa et un budget de confidentialité

Ashish Dandekar , Debabrota Basu , Pierre Senellart , Stéphane Bressan
BDA 2020 - 36ème Conférence sur la Gestion de Données – Principes, Technologies et Applications, Oct 2020, Paris / Virtuel, France
Conference papers hal-03103528v1

Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning

Junxiong Wang , Immanuel Trummer , Debabrota Basu
SIGMOD/PODS '21: International Conference on Management of Data, Jun 2021, Virtual Event, China. pp.2794-2797, ⟨10.1145/3448016.3452754⟩
Conference papers hal-03446016v1
Image document

Bandits Corrupted by Nature: Lower Bounds on Regret and Robust Optimistic Algorithm

Debabrota Basu , Odalric-Ambrym Maillard , Timothée Mathieu
2022
Preprints, Working Papers, ... hal-03611816v1

Justicia: A Stochastic SAT Approach to Formally Verify Fairness

Bishwamittra Ghosh , Debabrota Basu , Kuldeep S. Meel
AAAI Conference on Artificial Intelligence, Feb 2021, Virtual, Canada. pp.7554-7563
Conference papers hal-03445831v1

Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty

Hannes Eriksson , Debabrota Basu , Mina Alibeigi , Christos Dimitrakakis
OptLearnMAS@AAMAS, May 2022, Virtual, New Zealand
Conference papers hal-03770369v1
Image document

Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning

Reda Ouhamma , Debabrota Basu , Odalric-Ambrym Maillard
EWRL 2022 – European Workshop on Reinforcement Learning, Sep 2022, Milan, Italy
Conference papers hal-03790997v1
Image document

Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning

Emilio Jorge , Hannes Eriksson , Christos Dimitrakakis , Debabrota Basu , Divya Grover et al.
"I Can't Believe It's Not Better!" at NeurIPS Workshops, Dec 2020, Vancouver, Canada. pp.43-52
Conference papers hal-03125100v1
Image document

BelMan: An Information-Geometric Approach to Stochastic Bandits

Debabrota Basu , Pierre Senellart , Stéphane Bressan
ECML/PKDD - The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2019, Würzburg, Germany
Conference papers hal-02195539v1