Debabrota Basu Inria Statring Faculty Position (ISFP)

Publications

Article dans une revue (8)

Sublinear Algorithms for Estimating Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing Debabrota Basu,Debarshi Chanda Transactions on Machine Learning Research Journal, 2026 Article dans une revue hal-05027482v1
DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning Yifan Wang,Debabrota Basu,Pierre Bourhis,Romain Rouvoy,Patrick Royer Proceedings of the VLDB Endowment (PVLDB), In press, 19 (4), pp.589-602. ⟨10.14778/3785297.3785302⟩ Article dans une revue hal-05553733v1
Studying Exploration in RL: An Optimal Transport Analysis of Occupancy Measure Trajectories Reabetswe M. Nkhumise,Debabrota Basu,Tony J. Prescott,Aditya Gilra Transactions on Machine Learning Research Journal, 2025 Article dans une revue hal-04702986v1
The Fair Game: Auditing & debiasing AI algorithms over time Debabrota Basu,Udvas Das Cambridge Forum on AI: Law and Governance, 2025, 1, pp.27. ⟨10.1017/cfl.2025.8⟩ Article dans une revue hal-05111387v1
Bandits with Stochastic Corruption: Lower Bounds on Regret and Robust Optimistic Algorithms Timothée Mathieu,Debabrota Basu,Odalric-Ambrym Maillard Transactions on Machine Learning Research Journal, 2024 Article dans une revue hal-04615733v2
The Steepest Slope toward a Quantum Few-body Solution Paolo Recchia,Debabrota Basu,Mario Gattobigio,Christian Miniatura,Stéphane Bressan Few-Body Systems, 2024, 65 (4), pp.102. ⟨10.1007/s00601-024-01965-7⟩ Article dans une revue hal-04672894v1
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⟩ Article dans une revue hal-02942997v1
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 Journal of Marine Science and Engineering, 2021, 9 (2), pp.169. ⟨10.3390/jmse9020169⟩ Article dans une revue hal-03445756v1

Communication dans un congrès (46)

DP-SPRT: Differentially Private Sequential Probability Ratio Tests Thomas Michel,Debabrota Basu,Emilie Kaufmann Twenty-Ninth Annual Conference on Artificial Intelligence and Statistics (AISTATS), May 2026, Tangier, Morocco. ⟨10.48550/arXiv.2508.06377⟩ Communication dans un congrès hal-05230052v1
Auditing Fairness under Model Updates: Fundamental Complexity and Property-Preserving Updates Ayoub Ajarra,Debabrota Basu Twenty-Ninth Annual Conference on Artificial Intelligence and Statistics (AISTATS), May 2026, Tangier, Morocco Communication dans un congrès hal-05520727v1
FraPPE: Fast and Efficient Preference-based Pure Exploration Udvas Das,Apurv Shukla,Debabrota Basu NeurIPS 2025 - 39th Annual Conference on Neural Information Processing Systems, Dec 2025, San Diego (USA), United States Communication dans un congrès hal-05308357v1
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-04708183v1
Unifying (Federated) (Private) High-Dimensional Bandits via ADMM Apurv Shukla,Debabrota Basu EWRL -- Eighteenth European Workshop on Reinforcement Learning, Sep 2025, Tuebingen, Germany, Germany Communication dans un congrès hal-05319278v1
Optimal Regret of Bandits under Differential Privacy Achraf Azize,Yulian Wu,Junya Honda,Francesco Orabona,Shinji Itoet al. NeurIPS 2025 - 39th Annual Conference on Neural Information Processing Systems, Dec 2025, San Diego (USA), United States Communication dans un congrès hal-05111413v1
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-04733059v1
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-03831210v3
FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits Sunrit Chakraborty,Saptarshi Roy,Debabrota Basu AISTATS 2025 – International Conference on Artificial Intelligence and Statistics, May 2025, Phuket, Thailand Communication dans un congrès hal-04615697v1
Learning to Explore with Lagrangians for Bandits under Unknown Linear Constraints Udvas Das,Debabrota Basu Twenty-Ninth Annual Conference on Artificial Intelligence and Statistics (AISTATS), May 2026, Tangier, Morocco Communication dans un congrès hal-04784911v1
Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage Achraf Azize,Debabrota Basu AISTATS 2025 – International Conference on Artificial Intelligence and Statistics, May 2025, Phuket, Thailand Communication dans un congrès hal-04615701v1
Test-time Verification via Optimal Transport: Coverage, ROC, & Sub-optimality Arpan Mukherjee,Marcello Bullo,Debabrota Basu,Deniz Gündüz The Fourteenth International Conference on Learning Representations (ICLR), Apr 2026, Rio de Janeiro (BRAZIL), Brazil Communication dans un congrès hal-05520715v1
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-04203235v1
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-04260795v1
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-04611650v1
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-04260464v1
Don't Forget What I did?: Assessing Client Contributions in Federated Learning Bishwamittra Ghosh,Debabrota Basu,Fu Huazhu,Wang Yuan,Renuga Kanagaveluet al. 28th European Conference on Artificial Intelligence (ECAI), Oct 2025, Bologna, Italy Communication dans un congrès hal-04615711v1
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-04733134v2
Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Emilio Jorge,Christos Dimitrakakis,Debabrota Basu EWRL -- European Workshop on Reinforcement Learning, Oct 2024, Toulouse, France Communication dans un congrès hal-05027468v1
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-04621903v1
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-04616536v1
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-03960683v1
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-04260417v1
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-04215474v1
How Biased are Your Features?&quot;: 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-03770346v1
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-04260442v1
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-03790997v2
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-04215685v1
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-03445971v1
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-03150823v2
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-03781600v1
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-03770361v1
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-03770369v1
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-03445909v1
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-03771734v1
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-03445831v1
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-03446016v1
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-03445686v1
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-03125100v1
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-03103528v1
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-02541206v1
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-02195539v1
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-02412320v1
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-01700174v1
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-02287156v1
Cost-Model Oblivious Database Tuning with Reinforcement Learning Debabrota Basu,Qian Lin,Weidong Chen,Hoang Tam Vo,Zihong Yuanet al. DEXA, Sep 2015, Valencia, Spain. pp.253-268 Communication dans un congrès hal-01261945v1

Chapitre d'ouvrage (2)

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-03841224v1
Regularized Cost-Model Oblivious Database Tuning with Reinforcement Learning Debabrota Basu,Qian Lin,Weidong Chen,Hoang Tam Vo,Zihong Yuanet 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-02115175v1

Pré-publication, Document de travail (10)

Reward Hacking: Do You Fully Know What Your AI Agent Can Do? Debabrota Basu,Julien Teigny 2026 Pré-publication, Document de travail hal-05337548v1
Performative Policy Gradient: Optimality in Performative Reinforcement Learning Debabrota Basu,Udvas Das,Brahim Driss,Uddalak Mukherjee 2025 Pré-publication, Document de travail hal-05448545v1
Lagrangian-based Equilibrium Propagation: generalisation to arbitrary boundary conditions & equivalence with Hamiltonian Echo Learning Guillaume Pourcel,Debabrota Basu,Maxence Ernoult,Aditya Gilra 2025 Pré-publication, Document de travail (preprint/prepublication) hal-05111430v1
Dimension Agnostic Testing of Survey Data Credibility through the Lens of Regression Debabrota Basu,Sourav Chakraborty,Debarshi Chanda,Buddha Dev Das,Arijit Ghoshet al. 2025 Pré-publication, Document de travail hal-05308416v1
The Steepest Slope toward a Quantum Few-body Solution: Gradient Variational Methods for the Quantum Few-body Problem Paolo Recchia,Debabrota Basu,Mario Gattobigio,Christian Miniatura,Stéphane Bressan 2024 Pré-publication, Document de travail (preprint/prepublication) hal-04757502v1
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-04785076v1
Differentially Private Best-Arm Identification Achraf Azize,Marc Jourdan,Aymen Al Marjani,Debabrota Basu 2024 Pré-publication, Document de travail hal-04615690v1
Testing Credibility of Public and Private Surveys through the Lens of Regression Debabrota Basu,Sourav Chakraborty,Debarshi Chanda,Buddha Dev Das,Arijit Ghoshet al. 2024 Pré-publication, Document de travail (preprint/prepublication) hal-04733076v1
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-03611816v1
BelMan: Bayesian Bandits on the Belief--Reward Manifold Debabrota Basu,Pierre Senellart,Stéphane Bressan 2018 Pré-publication, Document de travail hal-01891813v1