Basu, Debabrota

30 publications

TMLR 2026 Sublinear Algorithms for Estimating Wasserstein and TV Distances: Applications to Fairness and Privacy Auditing Debabrota Basu, Debarshi Chanda

AAAI 2025 Active Fourier Auditor for Estimating Distributional Properties of ML Models Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu

AISTATS 2025 FLIPHAT: Joint Differential Privacy for High Dimensional Linear Bandits Saptarshi Roy, Sunrit Chakraborty, Debabrota Basu

NeurIPS 2025 FraPPE: Fast and Efficient Preference-Based Pure Exploration Udvas Das, Apurv Shukla, Debabrota Basu

NeurIPS 2025 Optimal Regret of Bandits Under Differential Privacy Achraf Azize, Yulian Wu, Junya Honda, Francesco Orabona, Shinji Ito, Debabrota Basu

AISTATS 2025 Some Targets Are Harder to Identify than Others: Quantifying the Target-Dependent Membership Leakage Achraf Azize, Debabrota Basu

AAAI 2025 Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback Riccardo Della Vecchia, Debabrota Basu

TMLR 2025 Studying Exploration in RL: An Optimal Transport Analysis of Occupancy Measure Trajectories Reabetswe M. Nkhumise, Debabrota Basu, Tony J. Prescott, Aditya Gilra

AAAI 2025 When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning Naheed Anjum Arafat, Debabrota Basu, Yulia R. Gel, Yuzhou Chen

NeurIPSW 2024 Active Fourier Auditor for Estimating Distributional Properties of ML Models Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu

ICLR 2024 Augmented Bayesian Policy Search Mahdi Kallel, Debabrota Basu, Riad Akrour, Carlo D'Eramo

TMLR 2024 Bandits Corrupted by Nature: Lower Bounds on Regret and Robust Optimistic Algorithms Timothée Mathieu, Debabrota Basu, Odalric-Ambrym Maillard

ALT 2024 CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption Shubhada Agrawal, Timothée Mathieu, Debabrota Basu, Odalric-Ambrym Maillard

ICMLW 2024 Learning to Explore with Lagrangians for Bandits Under Unknown Constraints Udvas Das, Debabrota Basu

COLT 2024 Open Problem: What Is the Complexity of Joint Differential Privacy in Linear Contextual Bandits? Achraf Azize, Debabrota Basu

NeurIPS 2024 Preference-Based Pure Exploration Apurv Shukla, Debabrota Basu

AISTATS 2024 Pure Exploration in Bandits with Linear Constraints Emil Carlsson, Debabrota Basu, Fredrik Johansson, Devdatt Dubhashi

ICMLW 2024 Reinforcement Learning in the Wild with Maximum Likelihood-Based Model Transfer Hannes Eriksson, Tommy Tram, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis

AAAI 2023 Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning Reda Ouhamma, Debabrota Basu, Odalric Maillard

ICML 2023 From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning Edwige Cyffers, Aurélien Bellet, Debabrota Basu

NeurIPS 2023 Marich: A Query-Efficient Distributionally Equivalent Model Extraction Attack Pratik Karmakar, Debabrota Basu

NeurIPS 2023 On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence Achraf Azize, Marc Jourdan, Aymen Al Marjani, Debabrota Basu

AAAI 2022 Algorithmic Fairness Verification with Graphical Models Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

AAAI 2022 Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback Junxiong Wang, Debabrota Basu, Immanuel Trummer

UAI 2022 SENTINEL: Taming Uncertainty with Ensemble Based Distributional Reinforcement Learning Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis

NeurIPS 2022 When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits Achraf Azize, Debabrota Basu

AAAI 2021 Justicia: A Stochastic SAT Approach to Formally Verify Fairness Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

AISTATS 2020 Bayesian Reinforcement Learning via Deep, Sparse Sampling Divya Grover, Debabrota Basu, Christos Dimitrakakis

NeurIPSW 2020 Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis, Debabrota Basu, Divya Grover

ECML-PKDD 2019 BelMan: An Information-Geometric Approach to Stochastic Bandits Debabrota Basu, Pierre Senellart, Stéphane Bressan