Debabrota Basu

108 papers A* 14A 8B 2Journal 65Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Asymptotically Optimal Sequential Testing with Markovian Data. CoRR Alhad Sethi, Kavali Sofia Sagar, Shubhada Agrawal, Debabrota Basu, P. N. Karthik
2026	J	`jnl`	Auditing Fairness under Model Updates: Fundamental Complexity and Property-Preserving Updates. CoRR Ayoub Ajarra, Debabrota Basu
2026	J	`jnl`	DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning. CoRR Yifan Wang, Debabrota Basu, Pierre Bourhis, Romain Rouvoy, Patrick Royer
2026	J	`jnl`	Sequential Membership Inference Attacks. CoRR Thomas Michel, Debabrota Basu, Emilie Kaufmann
2026	J	`jnl`	Sublinear Algorithms for Estimating Wasserstein and TV Distances: Applications to Fairness and Privacy Auditing. Trans. Mach. Learn. Res. Debabrota Basu, Debarshi Chanda
2025	A*	`conf`	Active Fourier Auditor for Estimating Distributional Properties of ML Models. AAAI Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu
2025	J	`jnl`	DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning. Proc. VLDB Endow. Yifan Wang, Debabrota Basu, Pierre Bourhis, Romain Rouvoy, Patrick Royer
2025	J	`jnl`	DP-SPRT: Differentially Private Sequential Probability Ratio Tests. CoRR Thomas Michel, Debabrota Basu, Emilie Kaufmann
2025	J	`jnl`	Dimension Agnostic Testing of Survey Data Credibility through the Lens of Regression. CoRR Debabrota Basu, Sourav Chakraborty, Debarshi Chanda, Buddha Dev Das, Arijit Ghosh, Arnab Ray
2025	A	`conf`	FLIPHAT: Joint Differential Privacy for High Dimensional Linear Bandits. AISTATS Saptarshi Roy, Sunrit Chakraborty, Debabrota Basu
2025	J	`jnl`	FraPPE: Fast and Efficient Preference-based Pure Exploration. CoRR Udvas Das, Apurv Shukla, Debabrota Basu
2025	A	`conf`	History-Aware and Dynamic Client Contribution in Federated Learning. ECAI Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
2025	J	`jnl`	Lagrangian-based Equilibrium Propagation: generalisation to arbitrary boundary conditions & equivalence with Hamiltonian Echo Learning. CoRR Guillaume Pourcel, Debabrota Basu, Maxence Ernoult, Aditya Gilra
2025	J	`jnl`	Optimal Regret of Bernoulli Bandits under Global Differential Privacy. CoRR Achraf Azize, Yulian Wu, Junya Honda, Francesco Orabona, Shinji Ito, Debabrota Basu
2025	J	`jnl`	Performative Policy Gradient: Optimality in Performative Reinforcement Learning. CoRR Debabrota Basu, Udvas Das, Brahim Driss, Uddalak Mukherjee
2025	A	`conf`	Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage. AISTATS Achraf Azize, Debabrota Basu
2025	A*	`conf`	Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback. AAAI Riccardo Della Vecchia, Debabrota Basu
2025	J	`jnl`	Studying Exploration in RL: An Optimal Transport Analysis of Occupancy Measure Trajectories. Trans. Mach. Learn. Res. Reabetswe M. Nkhumise, Debabrota Basu, Tony J. Prescott, Aditya Gilra
2025	J	`jnl`	Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing. CoRR Debabrota Basu, Debarshi Chanda
2025	J	`jnl`	Test-time Verification via Optimal Transport: Coverage, ROC, & Sub-optimality. CoRR Arpan Mukherjee, Marcello Bullo, Debabrota Basu, Deniz Gündüz
2025	J	`jnl`	The Fair Game: Auditing & Debiasing AI Algorithms Over Time. CoRR Debabrota Basu, Udvas Das
2025	A*	`conf`	When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning. AAAI Naheed Anjum Arafat, Debabrota Basu, Yulia Gel, Yuzhou Chen
2024	J	`jnl`	Active Fourier Auditor for Estimating Distributional Properties of ML Models. CoRR Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu
2024	A*	`conf`	Augmented Bayesian Policy Search. ICLR Mahdi Kallel, Debabrota Basu, Riad Akrour, Carlo D'Eramo
2024	J	`jnl`	Augmented Bayesian Policy Search. CoRR Mahdi Kallel, Debabrota Basu, Riad Akrour, Carlo D'Eramo
2024	J	`jnl`	Bandits Corrupted by Nature: Lower Bounds on Regret and Robust Optimistic Algorithms. Trans. Mach. Learn. Res. Timothée Mathieu, Debabrota Basu, Odalric-Ambrym Maillard
2024	B	`conf`	CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption. ALT Shubhada Agrawal, Timothée Mathieu, Debabrota Basu, Odalric-Ambrym Maillard
2024	—	`conf`	Concentrated Differential Privacy for Bandits. SaTML Achraf Azize, Debabrota Basu
2024	J	`jnl`	Differentially Private Best-Arm Identification. CoRR Achraf Azize, Marc Jourdan, Aymen Al Marjani, Debabrota Basu
2024	J	`jnl`	Don't Forget What I did?: Assessing Client Contributions in Federated Learning. CoRR Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
2024	J	`jnl`	Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs. CoRR Chao Han, Debabrota Basu, Michael Mangan, Eleni Vasilaki, Aditya Gilra
2024	J	`jnl`	FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits. CoRR Sunrit Chakraborty, Saptarshi Roy, Debabrota Basu
2024	J	`jnl`	How Much Does Each Datapoint Leak Your Privacy? Quantifying the Per-datum Membership Leakage. CoRR Achraf Azize, Debabrota Basu
2024	J	`jnl`	Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret. CoRR Emilio Jorge, Christos Dimitrakakis, Debabrota Basu
2024	J	`jnl`	Learning to Explore with Lagrangians for Bandits under Unknown Linear Constraints. CoRR Udvas Das, Debabrota Basu
2024	J	`jnl`	Measuring Exploration in Reinforcement Learning via Optimal Transport in Policy Space. CoRR Reabetswe M. Nkhumise, Debabrota Basu, Tony J. Prescott, Aditya Gilra
2024	A*	`conf`	Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits? COLT Achraf Azize, Debabrota Basu
2024	A*	`conf`	Preference-based Pure Exploration. NeurIPS Apurv Shukla, Debabrota Basu
2024	J	`jnl`	Preference-based Pure Exploration. CoRR Apurv Shukla, Debabrota Basu
2024	A	`conf`	Pure Exploration in Bandits with Linear Constraints. AISTATS Emil Carlsson, Debabrota Basu, Fredrik D. Johansson, Devdatt P. Dubhashi
2024	A	`conf`	Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer. AAMAS Hannes Eriksson, Tommy Tram, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2024	J	`jnl`	Testing Credibility of Public and Private Surveys through the Lens of Regression. CoRR Debabrota Basu, Sourav Chakraborty, Debarshi Chanda, Buddha Dev Das, Arijit Ghosh, Arnab Ray
2024	J	`jnl`	When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning. CoRR Naheed Anjum Arafat, Debabrota Basu, Yulia R. Gel, Yuzhou Chen
2023	—	`conf`	"How Biased are Your Features?": Computing Fairness Influence Functions with Global Sensitivity Analysis. FAccT Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
2023	A*	`conf`	Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning. AAAI Reda Ouhamma, Debabrota Basu, Odalric Maillard
2023	J	`jnl`	CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption. CoRR Shubhada Agrawal, Timothée Mathieu, Debabrota Basu, Odalric-Ambrym Maillard
2023	A*	`conf`	From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning. ICML Edwige Cyffers, Aurélien Bellet, Debabrota Basu
2023	J	`jnl`	From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning. CoRR Edwige Cyffers, Aurélien Bellet, Debabrota Basu
2023	J	`jnl`	Interactive and Concentrated Differential Privacy for Bandits. CoRR Achraf Azize, Debabrota Basu
2023	J	`jnl`	Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data. CoRR Pratik Karmakar, Debabrota Basu
2023	A*	`conf`	Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack. NeurIPS Pratik Karmakar, Debabrota Basu
2023	A*	`conf`	On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence. NeurIPS Achraf Azize, Marc Jourdan, Aymen Al Marjani, Debabrota Basu
2023	J	`jnl`	On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence. CoRR Achraf Azize, Marc Jourdan, Aymen Al Marjani, Debabrota Basu
2023	J	`jnl`	Online Instrumental Variable Regression: Regret Analysis and Bandit Feedback. CoRR Riccardo Della Vecchia, Debabrota Basu
2023	J	`jnl`	Pure Exploration in Bandits with Linear Constraints. CoRR Emil Carlsson, Debabrota Basu, Fredrik D. Johansson, Devdatt P. Dubhashi
2023	J	`jnl`	Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer. CoRR Hannes Eriksson, Debabrota Basu, Tommy Tram, Mina Alibeigi, Christos Dimitrakakis
2022	A*	`conf`	Algorithmic Fairness Verification with Graphical Models. AAAI Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
2022	J	`jnl`	Bandits Corrupted by Nature: Lower Bounds on Regret and Robust Optimistic Algorithm. CoRR Debabrota Basu, Odalric-Ambrym Maillard, Timothée Mathieu
2022	J	`jnl`	Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration and Planning. CoRR Reda Ouhamma, Debabrota Basu, Odalric-Ambrym Maillard
2022	J	`jnl`	How Biased is Your Feature?: Computing Fairness Influence Functions with Global Sensitivity Analysis. CoRR Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
2022	—	`conf`	On Meritocracy in Optimal Set Selection. EAAMO Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Anne-Marie George, Christos Dimitrakakis
2022	A*	`conf`	Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback. AAAI Junxiong Wang, Debabrota Basu, Immanuel Trummer
2022	J	`jnl`	Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty. CoRR Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2022	J	`jnl`	SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics. CoRR Yannis Flet-Berliac, Debabrota Basu
2022	A	`conf`	SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning. UAI Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2022	A*	`conf`	When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits. NeurIPS Achraf Azize, Debabrota Basu
2022	J	`jnl`	When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits. CoRR Achraf Azize, Debabrota Basu
2021	J	`jnl`	Algorithmic Fairness Verification with Graphical Models. CoRR Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
2021	—	`conf`	Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning. SIGMOD Conference Junxiong Wang, Immanuel Trummer, Debabrota Basu
2021	J	`jnl`	Differential Privacy at Risk: Bridging Randomness and Privacy Budget. Proc. Priv. Enhancing Technol. Ashish Dandekar, Debabrota Basu, Stéphane Bressan
2021	J	`jnl`	Fair Set Selection: Meritocracy and Social Welfare. CoRR Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Christos Dimitrakakis
2021	—	`conf`	Federated Learning of Oligonucleotide Drug Molecule Thermodynamics with Differentially Private ADMM-Based SVM. PKDD/ECML Workshops (2) Shirin Tavara, Alexander Schliep, Debabrota Basu
2021	A*	`conf`	Justicia: A Stochastic SAT Approach to Formally Verify Fairness. AAAI Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
2021	J	`jnl`	Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-fidelity Feedback. CoRR Junxiong Wang, Debabrota Basu, Immanuel Trummer
2021	J	`jnl`	SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning. CoRR Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2021	J	`jnl`	UDO: Universal Database Optimization using Reinforcement Learning. CoRR Junxiong Wang, Immanuel Trummer, Debabrota Basu
2021	J	`jnl`	UDO: Universal Database Optimization using Reinforcement Learning. Proc. VLDB Endow. Junxiong Wang, Immanuel Trummer, Debabrota Basu
2020	A	`conf`	Bayesian Reinforcement Learning via Deep, Sparse Sampling. AISTATS Divya Grover, Debabrota Basu, Christos Dimitrakakis
2020	—	`conf`	Construction and Random Generation of Hypergraphs with Prescribed Degree and Dimension Sequences. DEXA (2) Naheed Anjum Arafat, Debabrota Basu, Laurent Decreusefond, Stéphane Bressan
2020	J	`jnl`	Construction and Random Generation of Hypergraphs with Prescribed Degree and Dimension Sequences. CoRR Naheed Anjum Arafat, Debabrota Basu, Laurent Decreusefond, Stéphane Bressan
2020	J	`jnl`	Differential Privacy at Risk: Bridging Randomness and Privacy Budget. CoRR Ashish Dandekar, Debabrota Basu, Stéphane Bressan
2020	—	`conf`	Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning. ICBINB@NeurIPS Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis, Debabrota Basu, Divya Grover
2020	J	`jnl`	Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions. CoRR Christos Dimitrakakis, Hannes Eriksson, Emilio Jorge, Divya Grover, Debabrota Basu
2020	J	`jnl`	Justicia: A Stochastic SAT Approach to Formally Verify Fairness. CoRR Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
2020	J	`jnl`	ε-net Induced Lazy Witness Complexes on Graphs. CoRR Naheed Anjum Arafat, Debabrota Basu, Stéphane Bressan
2019	—	`conf`	BelMan: An Information-Geometric Approach to Stochastic Bandits. ECML/PKDD (3) Debabrota Basu, Pierre Senellart, Stéphane Bressan
2019	J	`jnl`	Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost? CoRR Debabrota Basu, Christos Dimitrakakis, Aristide C. Y. Tossou
2019	—	`conf`	Differentially Private Non-parametric Machine Learning as a Service. DEXA (1) Ashish Dandekar, Debabrota Basu, Stéphane Bressan
2019	J	`jnl`	Learn-as-you-go with Megh: Efficient Live Migration of Virtual Machines. IEEE Trans. Parallel Distributed Syst. Debabrota Basu, Xiayang Wang, Yang Hong, Haibo Chen, Stéphane Bressan
2019	J	`jnl`	Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities. CoRR Aristide C. Y. Tossou, Debabrota Basu, Christos Dimitrakakis
2019	J	`jnl`	Near-optimal Reinforcement Learning using Bayesian Quantiles. CoRR Aristide C. Y. Tossou, Debabrota Basu, Christos Dimitrakakis
2019	—	`conf`	Privacy as a Service: Publishing Data and Models. DASFAA (3) Ashish Dandekar, Debabrota Basu, Thomas Kister, Geong Sen Poh, Jia Xu, Stéphane Bressan
2019	—	`conf`	Topological Data Analysis with \epsilon ϵ -net Induced Lazy Witness Complex. DEXA (2) Naheed Anjum Arafat, Debabrota Basu, Stéphane Bressan
2019	J	`jnl`	Topological Data Analysis with ε-net Induced Lazy Witness Complex. CoRR Naheed Anjum Arafat, Debabrota Basu, Stéphane Bressan
2018	J	`jnl`	BelMan: Bayesian Bandits on the Belief-Reward Manifold. CoRR Debabrota Basu, Pierre Senellart, Stéphane Bressan
2018	—	`conf`	Differential Privacy for Regularised Linear Regression. DEXA (2) Ashish Dandekar, Debabrota Basu, Stéphane Bressan
2017	—	`conf`	How to Find the Best Rated Items on a Likert Scale and How Many Ratings Are Enough. DEXA (2) Qing Liu, Debabrota Basu, Shruti Goel, Talel Abdessalem, Stéphane Bressan
2017	A	`conf`	Learn-as-You-Go with Megh: Efficient Live Migration of Virtual Machines. ICDCS Debabrota Basu, Xiayang Wang, Yang Hong, Haibo Chen, Stéphane Bressan
2016	J	`jnl`	Regularized Cost-Model Oblivious Database Tuning with Reinforcement Learning. Trans. Large Scale Data Knowl. Centered Syst. Debabrota Basu, Qian Lin, Weidong Chen, Hoang Tam Vo, Zihong Yuan, Pierre Senellart, Stéphane Bressan
2016	—	`conf`	Top-k Queries Over Uncertain Scores. OTM Conferences Qing Liu, Debabrota Basu, Talel Abdessalem, Stéphane Bressan
2015	—	`conf`	Cost-Model Oblivious Database Tuning with Reinforcement Learning. DEXA (1) Debabrota Basu, Qian Lin, Weidong Chen, Hoang Tam Vo, Zihong Yuan, Pierre Senellart, Stéphane Bressan
2015	J	`jnl`	Interval type-2 fuzzy logic based multiclass ANFIS algorithm for real-time EEG based movement control of a robot arm. Robotics Auton. Syst. Saugat Bhattacharyya, Debabrota Basu, Amit Konar, D. N. Tibarewala
2014	J	`jnl`	A Spatially Informative Optic Flow Model of Bee Colony With Saccadic Flight Strategy for Global Optimization. IEEE Trans. Cybern. Swagatam Das, Subhodip Biswas, Bijaya K. Panigrahi, Souvik Kundu, Debabrota Basu
2014	B	`conf`	A differential evolution based adaptive neural Type-2 Fuzzy inference system for classification of motor imagery EEG signals. FUZZ-IEEE Debabrota Basu, Saugat Bhattacharyya, Dwaipayan Sardar, Amit Konar, D. N. Tibarewala, Atulya K. Nagar
2013	—	`conf`	A Novel Improved Discrete ABC Algorithm for Manpower Scheduling Problem in Remanufacturing. SEMCCO (1) Debabrota Basu, Shantanab Debchoudhury, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan
2013	—	`conf`	Load Information Based Priority Dependant Heuristic for Manpower Scheduling Problem in Remanufacturing. SEMCCO (1) Shantanab Debchoudhury, Debabrota Basu, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan
2013	—	`conf`	Multipopulation-Based Differential Evolution with Speciation-Based Response to Dynamic Environments. SEMCCO (1) Souvik Kundu, Debabrota Basu, Sheli Sinha Chaudhuri
2012	—	`conf`	A Novel Strategy Adaptive Genetic Algorithm with Greedy Local Search for the Permutation Flowshop Scheduling Problem. SEMCCO Srinjoy Ganguly, Swahum Mukherjee, Debabrota Basu, Swagatam Das