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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
|
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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
|
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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
|
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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
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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
|
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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
|
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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
|
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Concentrated Differential Privacy for Bandits
Achraf Azize
,
Debabrota Basu
Communication dans un congrès
hal-04611650
v1
|
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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
|
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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
|
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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
|
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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
|
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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
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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
|
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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
|
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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
|
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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
|
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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
|
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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
|
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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
|
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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
|
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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
|
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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
|
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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
|
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UDO: Universal Database Optimization using Reinforcement Learning
Junxiong Wang
,
Immanuel Trummer
,
Debabrota Basu
Communication dans un congrès
hal-03445686
v1
|
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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
|
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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
|
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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
|
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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
|
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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
|
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Top-k Queries Over Uncertain Scores
Qing Liu
,
Debabrota Basu
,
Talel Abdessalem
,
Stéphane Bressan
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
|
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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
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