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Aditya Krishnan
Aditya Krishnan
Pinecone
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Title
Cited by
Cited by
Year
Sublinear time spectral density estimation
V Braverman, A Krishnan, C Musco
Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022
17*2022
Lifelong learning with sketched structural regularization
H Li, A Krishnan, J Wu, S Kolouri, PK Pilly, V Braverman
Asian conference on machine learning, 985-1000, 2021
172021
Schatten norms in matrix streams: Hello sparsity, goodbye dimension
V Braverman, R Krauthgamer, A Krishnan, R Sinoff
International Conference on Machine Learning, 1100-1110, 2020
172020
Near-optimal entrywise sampling of numerically sparse matrices
V Braverman, R Krauthgamer, AR Krishnan, S Sapir
Conference on Learning Theory, 759-773, 2021
92021
On Sketching the to norms
A Krishnan, S Mohanty, DP Woodruff
arXiv preprint arXiv:1806.06429, 2018
82018
Lower bounds for pseudo-deterministic counting in a stream
V Braverman, R Krauthgamer, A Krishnan, S Sapir
arXiv preprint arXiv:2303.16287, 2023
52023
Projective Clustering Product Quantization
A Krishnan, E Liberty
arXiv preprint arXiv:2112.02179, 2021
32021
Competitively pricing parking in a tree
M Bender, J Gilbert, A Krishnan, K Pruhs
Web and Internet Economics: 16th International Conference, WINE 2020 …, 2020
32020
FAST AND MEMORY EFFICIENT ALGORITHMS FOR STRUCTURED MATRIX SPECTRUM APPROXIMATION
A Krishnan
Johns Hopkins University, 2022
2022
Pricing Online Metric Matching Algorithms on Trees
A Krishnan
Carnegie Mellon University Pittsburgh, PA, 2018
2018
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Articles 1–10