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Cameron Musco

University of Massachusetts Amherst (from arXiv:2210.06594, 2022) · ORCID · OpenAlex

10 papers in scope · 9 published · 1 on the econ.EM arXiv · 116 citations · h-index 5 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Siddharth Bhandari
  2. Raghavendra Addanki
  3. Anup Rao
  4. Tung Mai
  5. Susan Athey
  6. Guido W. Imbens
  7. David Arbour
  8. Nathan Kallus
  9. Stefan Wager
  10. Victor Chernozhukov
  11. Dmitry Arkhangelsky
  12. Avi Feller
  13. Vasilis Syrgkanis
  14. Pedro H. C. Sant’Anna
  15. Eli Ben-Michael
  16. Davide Viviano
  17. David A. Hirshberg
  18. David M. Blei
  19. Mohsen Bayati
  20. Whitney K. Newey

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(1 of 10)

Sample Constrained Treatment Effect Estimation
working paper2022 · arXiv · 3 citations
with Raghavendra Addanki, David Arbour, Tung Mai, Anup Rao
Paper profile arXiv arXiv:2210.06594
Sublinear Time Approximation of Text Similarity Matrices
published2022 · Proceedings of the AAAI Conference on Artificial Intelligence · 6 citations · first circulated 2021
with Archan Ray, Nicholas Monath, Andrew McCallum
Proceedings of the AAAI Conference on Artificial Intelligence
Coresets for Classification – Simplified and Strengthened
published2021 · Neural Information Processing Systems · 9 citations
with Tung Mai, Anup Rao
Neural Information Processing Systems
Intervention Efficient Algorithms for Approximate Learning of Causal Graphs
published2021 · Algorithmic Learning Theory · 2 citations · first circulated 2020
with Raghavendra Addanki, Andrew McGregor
Algorithmic Learning Theory
Efficient Intervention Design for Causal Discovery with Latents
published2020 · International Conference on Machine Learning · 4 citations
with Raghavendra Addanki, Shiva Prasad Kasiviswanathan, Andrew McGregor
International Conference on Machine Learning
Importance Sampling via Local Sensitivity
published2020 · International Conference on Artificial Intelligence and Statistics · 3 citations · first circulated 2019
with Anant Raj, Lester Mackey
International Conference on Artificial Intelligence and Statistics
Node Embeddings and Exact Low-Rank Representations of Complex Networks
published2020 · Neural Information Processing Systems · 13 citations
with Sudhanshu Chanpuriya, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis
Neural Information Processing Systems
Toward a Characterization of Loss Functions for Distribution Learning
published2019 · Neural Information Processing Systems · 5 citations
with Nika Haghtalab, Bo Waggoner
Neural Information Processing Systems
Is Input Sparsity Time Possible for Kernel Low-Rank Approximation?
published2017 · Neural Information Processing Systems · 4 citations
with David P. Woodruff
Neural Information Processing Systems
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees
published2017 · International Conference on Machine Learning · 67 citations
with Haim Avron, Michael Kapralov, Christopher Musco, Ameya Velingker, Amir Zandieh
International Conference on Machine Learning

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.