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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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		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-04784911v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Active Fourier Auditor for Estimating Distributional Properties of ML Models Ayoub Ajarra , Bishwamittra Ghosh , Debabrota Basu 2024 Pré-publication, Document de travail hal-04733059v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Asynchronous Multi-fidelity Hyperparameter Optimization Of Spiking Neural Networks Thomas Firmin , Pierre Boulet , El-Ghazali Talbi International Conference on Neuromorphic Systems (ICONS 2024), Jul 2024, Washington, United States Communication dans un congrès hal-04781629v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits Sunrit Chakraborty , Saptarshi Roy , Debabrota Basu 2024 Pré-publication, Document de travail hal-04615697v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Differentially Private Best-Arm Identification Achraf Azize , Marc Jourdan , Aymen Al Marjani , Debabrota Basu 2024 Pré-publication, Document de travail hal-04615690v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Tighter Generalisation Bounds via Interpolation Paul Viallard , Maxime Haddouche , Umut Şimşekli , Benjamin Guedj 2024 Pré-publication, Document de travail hal-04456925v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		On the Impact of Output Perturbation on Fairness in Binary Linear Classification Vitalii Emelianov , Michaël Perrot 2024 Pré-publication, Document de travail hal-04440982v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More

Filtrer vos résultats

A PAC-Bayesian Link Between Generalisation and Flat Minima

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

Learning to Explore with Lagrangians for Bandits under Unknown Linear Constraints

Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm

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

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

Measuring Exploration in Reinforcement Learning via Optimal Transport in Policy Space

Active Fourier Auditor for Estimating Distributional Properties of ML Models

Concentrated Differential Privacy for Bandits

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

Asynchronous Multi-fidelity Hyperparameter Optimization Of Spiking Neural Networks

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

FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits

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

Differentially Private Best-Arm Identification

Tighter Generalisation Bounds via Interpolation

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

On the Impact of Output Perturbation on Fairness in Binary Linear Classification

Preference-based Pure Exploration

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