When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
Naheed Anjum Arafat
,
Debabrota Basu
,
Yulia Gel
,
Yuzhou Chen
2024
Pré-publication, Document de travail
hal-04708183v1
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Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm
Batiste Le Bars
,
Aurélien Bellet
,
Marc Tommasi
,
Kevin Scaman
,
Giovanni Neglia
ICML 2024 - The Forty-first International Conference on Machine Learning , Jul 2024, Vienne, Austria
Communication dans un congrès
hal-04611418v1
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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-04702986v1
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Active Fourier Auditor for Estimating Distributional Properties of ML Models
Ayoub Ajarra
,
Bishwamittra Ghosh
,
Debabrota Basu
2024
Pré-publication, Document de travail
hal-04733059v1
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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-04260795v1
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Concentrated Differential Privacy for Bandits
Achraf Azize
,
Debabrota Basu
Communication dans un congrès
hal-04611650v1
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A PAC-Bayesian Link Between Generalisation and Flat Minima
Maxime Haddouche
,
Paul Viallard
,
Umut Şimşekli
,
Benjamin Guedj
2024
Pré-publication, Document de travail
hal-04455639v1
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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-04260464v1
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Differentially Private Best-Arm Identification
Achraf Azize
,
Marc Jourdan
,
Aymen Al Marjani
,
Debabrota Basu
2024
Pré-publication, Document de travail
hal-04615690v1
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FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits
Sunrit Chakraborty
,
Saptarshi Roy
,
Debabrota Basu
2024
Pré-publication, Document de travail
hal-04615697v1
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Bandits Corrupted by Nature: 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-04615733v1
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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-04621903v1
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On the Impact of Output Perturbation on Fairness in Binary Linear Classification
Vitalii Emelianov
,
Michaël Perrot
2024
Pré-publication, Document de travail
hal-04440982v1
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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
hal-04733076v1
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Tighter Generalisation Bounds via Interpolation
Paul Viallard
,
Maxime Haddouche
,
Umut Şimşekli
,
Benjamin Guedj
2024
Pré-publication, Document de travail
hal-04456925v1
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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-04733134v1
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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-04215474v1
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