Debabrota Basu
20 papers · 2020–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (4)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(44)
π
Interdisciplinary Bridge
π
Grand Slam
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(85)
π₯
Unstoppable
(6)
π
Century Club
(20)
β
The Questioner
Conferences
AAAI (7)
AISTATS (4)
NIPS (4)
ALT (1)
COLT (1)
ICLR (1)
ICML (1)
UAI (1)
Top co-authors
Research topics
Keywords
regret bound
(7)
multi-armed bandit
(4)
differential privacy
(4)
stochastic optimization
(2)
sample complexity
(2)
pure exploration
(2)
best-arm identification
(2)
fairness verification
(2)
privacy attack
(1)
algorithmic fairness
(1)
model extraction attack
(1)
online learning
(1)
black-box optimization
(1)
convex optimization
(1)
adversarial robustness
(1)
adversarial learning
(1)
model-based planning
(1)
preference learning
(1)
fourier analysis
(1)
reinforcement learning
(1)
Papers
FLIPHAT: Joint Differential Privacy for High Dimensional Linear Bandits
AISTATS 2025
Active Fourier Auditor for Estimating Distributional Properties of ML Models
AAAI 2025
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
AAAI 2025
Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback
AAAI 2025
Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage
AISTATS 2025
CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption
ALT 2024
Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits?
COLT 2024
Preference-based Pure Exploration
NIPS 2024
Pure Exploration in Bandits with Linear Constraints
AISTATS 2024
Augmented Bayesian Policy Search
ICLR 2024
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
ICML 2023
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack
NIPS 2023
Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning
AAAI 2023
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
NIPS 2023
SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning
UAI 2022
Algorithmic Fairness Verification with Graphical Models
AAAI 2022
Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback
AAAI 2022
When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits
NIPS 2022
Justicia: A Stochastic SAT Approach to Formally Verify Fairness
AAAI 2021
Bayesian Reinforcement Learning via Deep, Sparse Sampling
AISTATS 2020