Debabrota Basu

According to our database, Debabrota Basu authored at least 67 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Timothée Mathieu, Debabrota Basu, Odalric-Ambrym Maillard

Trans. Mach. Learn. Res., 2024

Learning to Explore with Lagrangians for Bandits under Unknown Linear Constraints.

Udvas Das, Debabrota Basu

CoRR, 2024

Active Fourier Auditor for Estimating Distributional Properties of ML Models.

Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu

CoRR, 2024

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

Debabrota Basu, Sourav Chakraborty, Debarshi Chanda, Buddha Dev Das, Arijit Ghosh, Arnab Ray

CoRR, 2024

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

Naheed Anjum Arafat, Debabrota Basu, Yulia R. Gel, Yuzhou Chen

CoRR, 2024

Differentially Private Best-Arm Identification.

Achraf Azize, Marc Jourdan, Aymen Al Marjani, Debabrota Basu

CoRR, 2024

FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits.

Sunrit Chakraborty, Saptarshi Roy, Debabrota Basu

CoRR, 2024

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

Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jiang Jin Peng, Yong Liu, Rick Siow Mong Goh, Qingsong Wei

CoRR, 2024

How Much Does Each Datapoint Leak Your Privacy? Quantifying the Per-datum Membership Leakage.

Achraf Azize, Debabrota Basu

CoRR, 2024

Measuring Exploration in Reinforcement Learning via Optimal Transport in Policy Space.

Reabetswe M. Nkhumise, Debabrota Basu, Tony J. Prescott, Aditya Gilra

CoRR, 2024

Concentrated Differential Privacy for Bandits.

Achraf Azize, Debabrota Basu

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

Augmented Bayesian Policy Search.

Mahdi Kallel, Debabrota Basu, Riad Akrour, Carlo D'Eramo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Achraf Azize, Debabrota Basu

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

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

Hannes Eriksson, Tommy Tram, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

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

Shubhada Agrawal, Timothée Mathieu, Debabrota Basu, Odalric-Ambrym Maillard

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

Pure Exploration in Bandits with Linear Constraints.

Emil Carlsson, Debabrota Basu, Fredrik D. Johansson, Devdatt P. Dubhashi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Interactive and Concentrated Differential Privacy for Bandits.

Achraf Azize, Debabrota Basu

CoRR, 2023

Online Instrumental Variable Regression: Regret Analysis and Bandit Feedback.

Riccardo Della Vecchia, Debabrota Basu

CoRR, 2023

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

Pratik Karmakar, Debabrota Basu

CoRR, 2023

Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack.

Pratik Karmakar, Debabrota Basu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Achraf Azize, Marc Jourdan, Aymen Al Marjani, Debabrota Basu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Edwige Cyffers, Aurélien Bellet, Debabrota Basu

Proceedings of the International Conference on Machine Learning, 2023

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

Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

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

Reda Ouhamma, Debabrota Basu, Odalric Maillard

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Reda Ouhamma, Debabrota Basu, Odalric-Ambrym Maillard

CoRR, 2022

How Biased is Your Feature?: Computing Fairness Influence Functions with Global Sensitivity Analysis.

Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

CoRR, 2022

SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics.

Yannis Flet-Berliac, Debabrota Basu

CoRR, 2022

Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty.

Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis

CoRR, 2022

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

Debabrota Basu, Odalric-Ambrym Maillard, Timothée Mathieu

CoRR, 2022

SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning.

Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis

Proceedings of the Uncertainty in Artificial Intelligence, 2022

When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits.

Achraf Azize, Debabrota Basu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Meritocracy in Optimal Set Selection.

Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Anne-Marie George, Christos Dimitrakakis

Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback.

Junxiong Wang, Debabrota Basu, Immanuel Trummer

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Algorithmic Fairness Verification with Graphical Models.

Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

UDO: Universal Database Optimization using Reinforcement Learning.

Junxiong Wang, Immanuel Trummer, Debabrota Basu

Proc. VLDB Endow., 2021

Differential Privacy at Risk: Bridging Randomness and Privacy Budget.

Ashish Dandekar, Debabrota Basu, Stéphane Bressan

Proc. Priv. Enhancing Technol., 2021

Fair Set Selection: Meritocracy and Social Welfare.

Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Christos Dimitrakakis

CoRR, 2021

Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning.

Junxiong Wang, Immanuel Trummer, Debabrota Basu

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Federated Learning of Oligonucleotide Drug Molecule Thermodynamics with Differentially Private ADMM-Based SVM.

Shirin Tavara, Alexander Schliep, Debabrota Basu

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Justicia: A Stochastic SAT Approach to Formally Verify Fairness.

Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

ε-net Induced Lazy Witness Complexes on Graphs.

Naheed Anjum Arafat, Debabrota Basu, Stéphane Bressan

CoRR, 2020

Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions.

Christos Dimitrakakis, Hannes Eriksson, Emilio Jorge, Divya Grover, Debabrota Basu

CoRR, 2020

Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning.

Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis, Debabrota Basu, Divya Grover

Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

Construction and Random Generation of Hypergraphs with Prescribed Degree and Dimension Sequences.

Naheed Anjum Arafat, Debabrota Basu, Laurent Decreusefond, Stéphane Bressan

Proceedings of the Database and Expert Systems Applications, 2020

Bayesian Reinforcement Learning via Deep, Sparse Sampling.

Divya Grover, Debabrota Basu, Christos Dimitrakakis

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Learn-as-you-go with Megh: Efficient Live Migration of Virtual Machines.

Debabrota Basu, Xiayang Wang, Yang Hong, Haibo Chen, Stéphane Bressan

IEEE Trans. Parallel Distributed Syst., 2019

Near-optimal Reinforcement Learning using Bayesian Quantiles.

Aristide C. Y. Tossou, Debabrota Basu, Christos Dimitrakakis

CoRR, 2019

Topological Data Analysis with ε-net Induced Lazy Witness Complex.

Naheed Anjum Arafat, Debabrota Basu, Stéphane Bressan

CoRR, 2019

Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities.

Aristide C. Y. Tossou, Debabrota Basu, Christos Dimitrakakis

CoRR, 2019

Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost?

Debabrota Basu, Christos Dimitrakakis, Aristide C. Y. Tossou

CoRR, 2019

BelMan: An Information-Geometric Approach to Stochastic Bandits.

Debabrota Basu, Pierre Senellart, Stéphane Bressan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Differentially Private Non-parametric Machine Learning as a Service.

Ashish Dandekar, Debabrota Basu, Stéphane Bressan

Proceedings of the Database and Expert Systems Applications, 2019

Topological Data Analysis with \epsilon ϵ -net Induced Lazy Witness Complex.

Naheed Anjum Arafat, Debabrota Basu, Stéphane Bressan

Proceedings of the Database and Expert Systems Applications, 2019

Privacy as a Service: Publishing Data and Models.

Ashish Dandekar, Debabrota Basu, Thomas Kister, Geong Sen Poh, Jia Xu, Stéphane Bressan

Proceedings of the Database Systems for Advanced Applications, 2019

2018

BelMan: Bayesian Bandits on the Belief-Reward Manifold.

Debabrota Basu, Pierre Senellart, Stéphane Bressan

CoRR, 2018

Differential Privacy for Regularised Linear Regression.

Ashish Dandekar, Debabrota Basu, Stéphane Bressan

Proceedings of the Database and Expert Systems Applications, 2018

2017

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

Proceedings of the Database and Expert Systems Applications, 2017

2016

Regularized Cost-Model Oblivious Database Tuning with Reinforcement Learning.

Debabrota Basu, Qian Lin, Weidong Chen, Hoang Tam Vo, Zihong Yuan, Pierre Senellart, Stéphane Bressan

Trans. Large Scale Data Knowl. Centered Syst., 2016

Top-k Queries Over Uncertain Scores.

Qing Liu, Debabrota Basu, Talel Abdessalem, Stéphane Bressan

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Conferences, 2016

2015

Interval type-2 fuzzy logic based multiclass ANFIS algorithm for real-time EEG based movement control of a robot arm.

Saugat Bhattacharyya, Debabrota Basu, Amit Konar, D. N. Tibarewala

Robotics Auton. Syst., 2015

Cost-Model Oblivious Database Tuning with Reinforcement Learning.

Debabrota Basu, Qian Lin, Weidong Chen, Hoang Tam Vo, Zihong Yuan, Pierre Senellart, Stéphane Bressan

Proceedings of the Database and Expert Systems Applications, 2015

2014

A Spatially Informative Optic Flow Model of Bee Colony With Saccadic Flight Strategy for Global Optimization.

Swagatam Das, Subhodip Biswas, Bijaya K. Panigrahi, Souvik Kundu, Debabrota Basu

IEEE Trans. Cybern., 2014

A differential evolution based adaptive neural Type-2 Fuzzy inference system for classification of motor imagery EEG signals.

Debabrota Basu, Saugat Bhattacharyya, Dwaipayan Sardar, Amit Konar, D. N. Tibarewala, Atulya K. Nagar

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013

Multipopulation-Based Differential Evolution with Speciation-Based Response to Dynamic Environments.

Souvik Kundu, Debabrota Basu, Sheli Sinha Chaudhuri

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

Load Information Based Priority Dependant Heuristic for Manpower Scheduling Problem in Remanufacturing.

Shantanab Debchoudhury, Debabrota Basu, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

A Novel Improved Discrete ABC Algorithm for Manpower Scheduling Problem in Remanufacturing.

Debabrota Basu, Shantanab Debchoudhury, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

2012

A Novel Strategy Adaptive Genetic Algorithm with Greedy Local Search for the Permutation Flowshop Scheduling Problem.

Srinjoy Ganguly, Swahum Mukherjee, Debabrota Basu, Swagatam Das

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012