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Debabrota Basu

14 papers at tracked venues · 8 at CORE A* · active 2024–2025

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Venues

AAAI ×3AISTATS ×3NeurIPS ×3AAMAS ×1COLT ×1ECAI ×1ICLR ×1VLDB ×1

Frequent coauthors

Achraf Azize
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Ayoub Ajarra
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Yifan Wang
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Saptarshi Roy
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Udvas Das
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Bishwamittra Ghosh
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Riccardo Della Vecchia
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Naheed Anjum Arafat
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Mahdi Kallel
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Apurv Shukla
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Emil Carlsson
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Hannes Eriksson
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Papers

  1. Active Fourier Auditor for Estimating Distributional Properties of ML Models
    AAAI 2025 ·
    Ayoub Ajarra
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  2. DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning
    VLDB 2025 ·
    Yifan Wang
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  3. FLIPHAT: Joint Differential Privacy for High Dimensional Linear Bandits
    AISTATS 2025 ·
    Saptarshi Roy
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  4. FraPPE: Fast and Efficient Preference-Based Pure Exploration
    NeurIPS 2025 ·
    Udvas Das
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  5. History-Aware and Dynamic Client Contribution in Federated Learning
    ECAI 2025 ·
    Bishwamittra Ghosh
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  6. Optimal Regret of Bandits under Differential Privacy
    NeurIPS 2025 ·
    Achraf Azize
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  7. Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage
    AISTATS 2025 ·
    Achraf Azize
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  8. Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback
    AAAI 2025 ·
    Riccardo Della Vecchia
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  9. When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
    AAAI 2025 ·
    Naheed Anjum Arafat
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  10. Augmented Bayesian Policy Search
    ICLR 2024 ·
    Mahdi Kallel
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  11. Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits?
    COLT 2024 ·
    Achraf Azize
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  12. Preference-based Pure Exploration
    NeurIPS 2024 ·
    Apurv Shukla
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  13. Pure Exploration in Bandits with Linear Constraints
    AISTATS 2024 ·
    Emil Carlsson
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  14. Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer
    AAMAS 2024 ·
    Hannes Eriksson
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