Ekansh Sharma

@article{liu2026tokenminds,
  title={TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems},
  author={Liu, Qingyun and Yan, Bo and Liu, Yang and Roh, Yuji and Sharma, Ekansh and Yin, Likang and Olowo, Emma and Li, Yuxuan and Jiang, Yuan and Uribe, Diego and Aggarwal, Saksham and Wu, Siqi and Hao, Yuan and Kedigehalli, Vikas and Tsai, Min-Hsuan and Heldt, Lukasz and Hong, Lichan and Wei, Li and Yi, Xinyang},
  journal={arXiv preprint arXiv:2606.25147},
  year={2026}
}

@inproceedings{adnan2026sparseopt,
  title={SparseOpt: Addressing Normalization-induced Gradient Skew in Sparse Training},
  author={Adnan, Mohammed and Jain, Rohan and Jacobs, Tom and Sharma, Ekansh and Krishnan, Rahul G. and Burkholz, Rebekka and Ioannou, Yani},
  booktitle={Proceedings of the International Conference on Machine Learning (ICML)},
  year={2026},
  eprint={2605.27541},
  archivePrefix={arXiv}
}

@inproceedings{adnan2025sparse,
  title={Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry},
  author={Adnan, Mohammed and Jain, Rohan and Sharma, Ekansh and Krishnan, Rahul G. and Ioannou, Yani},
  booktitle={Proceedings of the International Conference on Machine Learning (ICML)},
  year={2025},
  eprint={2505.05143},
  archivePrefix={arXiv}
}

@article{sharma2024nonlocal,
  title={The Non-Local Model Merging Problem: Permutation Symmetries and Variance Collapse},
  author={Sharma, Ekansh and Roy, Daniel M. and Dziugaite, Gintare Karolina},
  journal={arXiv preprint arXiv:2410.12766},
  year={2024}
}

@inproceedings{sharma2024simultaneous,
  title={Simultaneous Linear Connectivity of Neural Networks Modulo Permutation},
  author={Sharma, Ekansh and Kwok, Devin and Denton, Tom and Roy, Daniel M. and Rolnick, David and Dziugaite, Gintare Karolina},
  booktitle={Machine Learning and Knowledge Discovery in Databases (ECML PKDD)},
  year={2024},
  doi={10.1007/978-3-031-70368-3_16}
}

@article{naulet2021bootstrap,
  title={Bootstrap estimators for the tail-index and for the count statistics of graphex processes},
  author={Naulet, Zacharie and Roy, Daniel M. and Sharma, Ekansh and Veitch, Victor},
  journal={Electronic Journal of Statistics},
  volume={15},
  number={1},
  pages={282--325},
  year={2021},
  doi={10.1214/20-EJS1789}
}

@inproceedings{sharma2020approximations,
  title={Approximations in Probabilistic Programs: A Compositional Nonasymptotic Analysis of Nested MCMC},
  author={Sharma, Ekansh and Roy, Daniel M.},
  booktitle={International Conference on Probabilistic Programming (PROBPROG)},
  year={2020},
  eprint={1912.06791},
  archivePrefix={arXiv}
}

@article{veitch2017exchangeable,
  title={Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization},
  author={Veitch, Victor and Sharma, Ekansh and Naulet, Zacharie and Roy, Daniel M.},
  journal={arXiv preprint arXiv:1712.02311},
  year={2017}
}