publications

@inproceedings{bharadwaj2024efficientleveragescoresampling,
    author = "Bharadwaj*, Vivek and Rakhshan*, Beheshteh T. and Malik, Osman Asif and Rabusseau, Guillaume",
    title = "Efficient Leverage Score Sampling for Tensor Train Decomposition",
    booktitle = "Advances in Neural Information Processing Systems (Forthcoming)",
    month = "Dec",
    year = "2024",
    eprint = "2406.02749",
    archivePrefix = "arXiv",
    primaryClass = "cs.DS"
}

@inproceedings{bharadwaj24_rdist_cp,
    author = "Bharadwaj, Vivek and Malik, Osman Asif and Murray, Riley and Buluç, Aydın and Demmel, James",
    title = "Distributed-Memory Randomized Algorithms for Sparse Tensor CP Decomposition",
    month = "Jun",
    year = "2024",
    isbn = "9798400704161",
    publisher = "Association for Computing Machinery",
    address = "New York, NY, USA",
    url = "https://doi.org/10.1145/3626183.3659980",
    doi = "10.1145/3626183.3659980",
    booktitle = "Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures",
    pages = "155–168",
    numpages = "14",
    keywords = "CP decomposition, leverage score sampling, randomized linear algebra, sparse tensors",
    location = "Nantes, France",
    series = "SPAA '24"
}

@inproceedings{bharadwaj23_fast_krp_leverage,
    author = "Bharadwaj, Vivek and Malik, Osman Asif and Murray, Riley and Grigori, Laura and Buluç, Aydın and Demmel, James",
    editor = "Oh, A. and Naumann, T. and Globerson, A. and Saenko, K. and Hardt, M. and Levine, S.",
    booktitle = "Advances in Neural Information Processing Systems",
    pages = "47874--47901",
    publisher = "Curran Associates, Inc.",
    title = "Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition",
    volume = "36",
    month = "Dec",
    year = "2023"
}

@inproceedings{bharadwaj22_distspml,
    author = "Bharadwaj, Vivek and Buluç, Aydın and Demmel, James",
    booktitle = "2022 IEEE International Parallel and Distributed Processing Symposium",
    title = "Distributed-Memory Sparse Kernels for Machine Learning",
    year = "2022",
    volume = "",
    issn = "",
    pages = "47-58",
    keywords = "machine learning algorithms;costs;runtime;collaborative filtering;layout;machine learning;inference algorithms",
    doi = "10.1109/IPDPS53621.2022.00014",
    url = "https://doi.ieeecomputersociety.org/10.1109/IPDPS53621.2022.00014",
    publisher = "IEEE Computer Society",
    address = "Los Alamitos, CA, USA",
    month = "jun"
}