publications

2026

1. ICML

   Optimal Anytime Algorithms for Online Convex Optimization with Adversarial Constraints

   Dhruv Sarkar, and Abhishek Sinha

   In The 43rd International Conference on Machine Learning. Preliminary version appeared at the AAAI 2026 MATH4AI Workshop. , 2026

   arXiv Bib PDF

   @inproceedings{sarkar2026anytime,
     title = {Optimal Anytime Algorithms for Online Convex Optimization with Adversarial Constraints},
     author = {Sarkar, Dhruv and Sinha, Abhishek},
     booktitle = {The 43rd International Conference on Machine Learning},
     year = {2026},
   }

2. ICML

   Improved Algorithms for Nash Welfare in Linear Bandits

   Dhruv Sarkar, Nishant Pandey, and Sayak Ray Chowdhury

   In The 43rd International Conference on Machine Learning, 2026

   arXiv Bib PDF

   @inproceedings{sarkar2026nashlinear,
     title = {Improved Algorithms for Nash Welfare in Linear Bandits},
     author = {Sarkar, Dhruv and Pandey, Nishant and Ray Chowdhury, Sayak},
     booktitle = {The 43rd International Conference on Machine Learning},
     year = {2026},
   }

3. AISTATS

   Projection-free Algorithms for Online Convex Optimization with Adversarial Constraints

   Dhruv Sarkar, Aprameyo Chakrabartty, Subhamon Supantha, Palash Dey, and Abhishek Sinha

   In The 29th International Conference on Artificial Intelligence and Statistics, 2026

   arXiv Bib HTML PDF

   @inproceedings{sarkar2026projectionfree,
     title = {Projection-free Algorithms for Online Convex Optimization with Adversarial Constraints},
     author = {Sarkar, Dhruv and Chakrabartty, Aprameyo and Supantha, Subhamon and Dey, Palash and Sinha, Abhishek},
     booktitle = {The 29th International Conference on Artificial Intelligence and Statistics},
     year = {2026},
   }

4. AISTATS

   Relation-Aware Slicing in Cross-Domain Alignment

   Dhruv Sarkar, Aprameyo Chakrabartty, Anish Chakrabarty, and Swagatam Das

   In The 29th International Conference on Artificial Intelligence and Statistics, 2026

   arXiv Bib PDF

   @inproceedings{sarkar2026relationaware,
     title = {Relation-Aware Slicing in Cross-Domain Alignment},
     author = {Sarkar, Dhruv and Chakrabartty, Aprameyo and Chakrabarty, Anish and Das, Swagatam},
     booktitle = {The 29th International Conference on Artificial Intelligence and Statistics},
     year = {2026},
   }

5. AISTATS

   Revisiting Social Welfare in Bandits: UCB is (Nearly) All You Need

   Dhruv Sarkar, Nishant Pandey, and Sayak Ray Chowdhury

   In The 29th International Conference on Artificial Intelligence and Statistics, 2026

   arXiv Bib HTML Code

   @inproceedings{sarkar2026ucb,
     title = {Revisiting Social Welfare in Bandits: UCB is (Nearly) All You Need},
     author = {Sarkar, Dhruv and Pandey, Nishant and Ray Chowdhury, Sayak},
     booktitle = {The 29th International Conference on Artificial Intelligence and Statistics},
     year = {2026},
   }

6. AAAI

   DP-NCB: Privacy Preserving Fair Bandits

   Dhruv Sarkar, Nishant Pandey, and Sayak Ray Chowdhury

   In The 40th AAAI Conference on Artificial Intelligence, 2026

   DOI arXiv Bib PDF

   @inproceedings{sarkar2026dpncb,
     title = {DP-NCB: Privacy Preserving Fair Bandits},
     author = {Sarkar, Dhruv and Pandey, Nishant and Ray Chowdhury, Sayak},
     booktitle = {The 40th AAAI Conference on Artificial Intelligence},
     year = {2026},
     doi = {10.1609/aaai.v40i30.39710},
   }

7. MATH4AI

   Optimal Anytime Algorithms for Online Convex Optimization with Adversarial Constraints

   Dhruv Sarkar, and Abhishek Sinha

   In AAAI 2026 Workshop on Foretell of Future AI from Mathematical Foundation, 2026

   Workshop publication; later accepted at ICML 2026.

   arXiv Bib PDF

   @inproceedings{sarkar2026anytimeworkshop,
     title = {Optimal Anytime Algorithms for Online Convex Optimization with Adversarial Constraints},
     author = {Sarkar, Dhruv and Sinha, Abhishek},
     booktitle = {AAAI 2026 Workshop on Foretell of Future AI from Mathematical Foundation},
     year = {2026},
     note = {Workshop publication; later accepted at ICML 2026.}
   }

8. Preprint

   Nonlinear Two-Time-Scale Stochastic Approximation: A Sharp Phase Transition and How to Beat It

   Dhruv Sarkar, and Vaneet Aggarwal

   Preprint, 2026

   arXiv Bib PDF

   @article{sarkar2026twotimescale,
     title = {Nonlinear Two-Time-Scale Stochastic Approximation: A Sharp Phase Transition and How to Beat It},
     author = {Sarkar, Dhruv and Aggarwal, Vaneet},
     journal = {Preprint},
     year = {2026},
   }

9. Preprint

   Improved Guarantees for Constrained Online Convex Optimization via Self-Contraction

   Dhruv Sarkar, and Abhishek Sinha

   Preprint, 2026

   arXiv Bib PDF

   @article{sarkar2026selfcontraction,
     title = {Improved Guarantees for Constrained Online Convex Optimization via Self-Contraction},
     author = {Sarkar, Dhruv and Sinha, Abhishek},
     journal = {Preprint},
     year = {2026},
   }

10. Preprint

    A Simple Reduction Scheme for Constrained Contextual Bandits with Adversarial Contexts via Regression

    Dhruv Sarkar, and Abhishek Sinha

    Preprint, 2026

    Under submission at NeurIPS 2026.

    arXiv Bib PDF

    @article{sarkar2026contextual,
      title = {A Simple Reduction Scheme for Constrained Contextual Bandits with Adversarial Contexts via Regression},
      author = {Sarkar, Dhruv and Sinha, Abhishek},
      journal = {Preprint},
      year = {2026},
      note = {Under submission at NeurIPS 2026.}
    }

11. Preprint

    Online Learning for Approximately-Convex Functions with Long-Term Adversarial Constraints

    Dhruv Sarkar, Samrat Mukhopadhyay, and Abhishek Sinha

    Preprint, 2026

    Under submission at NeurIPS 2026.

    arXiv Bib PDF

    @article{sarkar2026approximatelyconvex,
      title = {Online Learning for Approximately-Convex Functions with Long-Term Adversarial Constraints},
      author = {Sarkar, Dhruv and Mukhopadhyay, Samrat and Sinha, Abhishek},
      journal = {Preprint},
      year = {2026},
      note = {Under submission at NeurIPS 2026.}
    }

2024

1. NeurIPS TSALM

   Do We Really Need Foundation Models for Multi-Step-Ahead Epidemic Forecasting?

   Mrinmoy Dey^*, Aprameyo Chakrabartty^*, Dhruv Sarkar^*, and Tanujit Chakraborty

   In NeurIPS 2024 Workshop on Time Series in the Age of Large Models, 2024

   Bib HTML PDF

   @inproceedings{dey2024epidemic,
     title = {Do We Really Need Foundation Models for Multi-Step-Ahead Epidemic Forecasting?},
     author = {Dey, Mrinmoy and Chakrabartty, Aprameyo and Sarkar, Dhruv and Chakraborty, Tanujit},
     booktitle = {NeurIPS 2024 Workshop on Time Series in the Age of Large Models},
     year = {2024},
   }