Debabrota Basu

Inria Statring Faculty Position (ISFP)
53
Documents
Affiliations actuelles
  • Scool (Scool)
  • Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL)
  • Centre Inria de l'Université de Lille
  • Université de Lille
  • Centrale Lille

Domaines de recherche

Apprentissage [cs.LG] Optimisation et contrôle [math.OC] Théorie de l'information [cs.IT] Ordinateur et société [cs.CY] Intelligence artificielle [cs.AI] Statistiques [stat] Machine Learning [stat.ML]

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Publications

When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning

Naheed Anjum Arafat , Debabrota Basu , Yulia Gel , Yuzhou Chen
AAAI Conference on Artificial Intelligence, Feb 2025, Philadelphia, United States
Communication dans un congrès hal-04708183 v1

Active Fourier Auditor for Estimating Distributional Properties of ML Models

Ayoub Ajarra , Bishwamittra Ghosh , Debabrota Basu
AAAI Conference on Artificial Intelligence, Feb 2025, Philadelphia, United States
Communication dans un congrès hal-04733059 v1

FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits

Sunrit Chakraborty , Saptarshi Roy , Debabrota Basu
AISTATS – International Conference on Artificial Intelligence and Statistics, May 2025, Phuket, Thailand
Communication dans un congrès hal-04615697 v1
Image document

Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback

Riccardo Della Vecchia , Debabrota Basu
AAAI Conference on Artificial Intelligence, Feb 2025, Philadelphia, United States
Communication dans un congrès hal-03831210 v3

Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage

Achraf Azize , Debabrota Basu
AISTATS – International Conference on Artificial Intelligence and Statistics, May 2025, Phuket, Thailand
Communication dans un congrès hal-04615701 v1
Image document

Augmented Bayesian Policy Search

Mahdi Kallel , Debabrota Basu , Riad Akrour , Carlo d'Eramo
The Twelfth International Conference on Learning Representations (ICLR), May 2024, Vienna, Austria
Communication dans un congrès hal-04616536 v1

Pure Exploration in Bandits with Linear Constraints

Emil Carlsson , Debabrota Basu , Fredrik D. Johansson , Devdatt Dubhashi
International Conference on Artificial Intelligence and Statistics, May 2024, Valencia (Espagne), Spain. pp.334-342
Communication dans un congrès hal-04203235 v1

Concentrated Differential Privacy for Bandits

Achraf Azize , Debabrota Basu
2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), IEEE, Apr 2024, Toronto, Canada. pp.78-109, ⟨10.1109/SaTML59370.2024.00013⟩
Communication dans un congrès hal-04611650 v1

Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer

Hannes Eriksson , Tommy Tram , Debabrota Basu , Mina Alibeigi , Christos Dimitrakakis
23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2024, Auckland, New Zealand. pp.516-524, ⟨10.5555/3635637.3662902⟩
Communication dans un congrès hal-04260795 v1

CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption

Shubhada Agrawal , Timothée Mathieu , Debabrota Basu , Odalric-Ambrym Maillard
International Conference on Algorithmic Learning Theory (ALT), Feb 2024, San Diego (CA), United States. pp.74-124
Communication dans un congrès hal-04260464 v1

Learning to Explore with Lagrangians for Bandits under Unknown Linear Constraints

Udvas Das , Debabrota Basu
Seventeenth European Workshop on Reinforcement Learning (EWRL), Oct 2024, Toulouse, France
Communication dans un congrès hal-04784911 v1
Image document

Preference-based Pure Exploration

Apurv Shukla , Debabrota Basu
Advances in Neural Information Processing Systems (NeurIPS), Dec 2024, Vancouver (CA), Canada
Communication dans un congrès hal-04733134 v2
Image document

Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits?

Achraf Azize , Debabrota Basu
Proceedings of Thirty Seventh Conference on Learning Theory, Jul 2024, Edmonton (Alberta), Canada
Communication dans un congrès hal-04621903 v1

Interactive and Concentrated Differential Privacy for Bandits

Achraf Azize , Debabrota Basu
EWRL 2023 – European Workshop on Reinforcement Learning, Sep 2023, Brussels (Belgium), Belgium
Communication dans un congrès hal-04215685 v1

From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning

Edwige Cyffers , Aurélien Bellet , Debabrota Basu
Proceedings of the 40th International Conference on Machine Learning (ICML), Jul 2023, Honolulu, United States
Communication dans un congrès hal-04260417 v1
Image document

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

Odalric-Ambrym Maillard , Timothée Mathieu , Debabrota Basu
AIAFS 2023 - Artificial Intelligence for Agriculture and Food Systems, Feb 2023, Wahington DC, United States
Communication dans un congrès hal-03960683 v1

On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence

Achraf Azize , Marc Jourdan , Aymen Al Marjani , Debabrota Basu
NeurIPS 2023 – Conference on Neural Information Processing Systems, Dec 2023, New Orleans (US), United States. pp.71150--71194
Communication dans un congrès hal-04215474 v1

How Biased are Your Features?": Computing Fairness Influence Functions with Global Sensitivity Analysis

Bishwamittra Ghosh , Debabrota Basu , Kuldeep Meel
FAccT '23: the 2023 ACM Conference on Fairness, Accountability, and Transparency, Jun 2023, Chicago IL, United States. pp.138-148, ⟨10.1145/3593013.3593983⟩
Communication dans un congrès hal-03770346 v1

Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data

Pratik Karmakar , Debabrota Basu
Advances in Neural Information Processing Systems (NeurIPS), Dec 2023, New orleans, USA, United States
Communication dans un congrès hal-04260442 v1
Image document

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

Reda Ouhamma , Debabrota Basu , Odalric-Ambrym Maillard
Proceedings of the AAAI Conference on Artificial Intelligence, Feb 2023, Washignton DC, United States. pp.9336-9344, ⟨10.1609/aaai.v37i8.26119⟩
Communication dans un congrès hal-03790997 v2
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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
Communication dans un congrès hal-03150823 v2
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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
Communication dans un congrès hal-03770361 v1
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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
Communication dans un congrès hal-03781600 v1

On Meritocracy in Optimal Set Selection

Thomas Kleine Buening , Meirav Segal , Debabrota Basu , Anne-Marie George , Christos Dimitrakakis
EAAMO 2022- Equity and Access in Algorithms, Mechanisms, and Optimization, ACM, Oct 2022, Arlington, United States
Communication dans un congrès hal-03445971 v1

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
Communication dans un congrès hal-03770369 v1
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
Communication dans un congrès hal-03445909 v1
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
Communication dans un congrès hal-03771734 v1

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⟩
Communication dans un congrès hal-03445686 v1

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
Communication dans un congrès hal-03445831 v1

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⟩
Communication dans un congrès hal-03446016 v1
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Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning

Emilio Jorge , Hannes Eriksson , Christos Dimitrakakis , Debabrota Basu , Divya Grover
"I Can't Believe It's Not Better!" at NeurIPS Workshops, Dec 2020, Vancouver, Canada. pp.43-52
Communication dans un congrès hal-03125100 v1
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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
Communication dans un congrès hal-03103528 v1
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
Communication dans un congrès hal-02541206 v1
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
Communication dans un congrès hal-02195539 v1

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
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⟩
Communication dans un congrès hal-02412320 v1

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⟩
Communication dans un congrès hal-01700174 v1

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
Communication dans un congrès hal-01261945 v1

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

Debabrota Basu , Qian Lin , Zihong Yuan , Pierre Senellart , Stéphane Bressan
BDA, Sep 2015, Porquerolles, France
Communication dans un congrès hal-02287156 v1

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⟩
Chapitre d'ouvrage hal-03841224 v1
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⟩
Chapitre d'ouvrage hal-02115175 v1

Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing

Debabrota Basu , Debarshi Chanda
2025
Pré-publication, Document de travail (preprint/prepublication) hal-05027482 v1

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret

Emilio Jorge , Christos Dimitrakakis , Debabrota Basu
2025
Pré-publication, Document de travail hal-05027468 v1

Testing Credibility of Public and Private Surveys through the Lens of Regression

Debabrota Basu , Sourav Chakraborty , Debarshi Chanda , Buddha Dev Das , Arijit Ghosh et al.
2024
Pré-publication, Document de travail (preprint/prepublication) hal-04733076 v1

Measuring Exploration in Reinforcement Learning via Optimal Transport in Policy Space

Reabetswe M. Nkhumise , Debabrota Basu , Tony J. Prescott , Aditya Gilra
2024
Pré-publication, Document de travail hal-04702986 v1

Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs

Chao Han , Debabrota Basu , Michael Mangan , Eleni Vasilaki , Aditya Gilra
2024
Pré-publication, Document de travail hal-04785076 v1

Don't Forget What I did?: Assessing Client Contributions in Federated Learning

Bishwamittra Ghosh , Debabrota Basu , Fu Huazhu , Wang Yuan , Renuga Kanagavelu et al.
2024
Pré-publication, Document de travail hal-04615711 v1

Differentially Private Best-Arm Identification

Achraf Azize , Marc Jourdan , Aymen Al Marjani , Debabrota Basu
2024
Pré-publication, Document de travail hal-04615690 v1
Image document

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

Debabrota Basu , Odalric-Ambrym Maillard , Timothée Mathieu
2022
Pré-publication, Document de travail hal-03611816 v1

BelMan: Bayesian Bandits on the Belief--Reward Manifold

Debabrota Basu , Pierre Senellart , Stéphane Bressan
2018
Pré-publication, Document de travail hal-01891813 v1