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Shiva Prasad Kasiviswanathan

Los Alamos National Laboratory (per OpenAlex) · ORCID · OpenAlex

10 papers in scope · 9 published · 1 on the econ.EM arXiv · 466 citations · h-index 7 (over the papers listed here)

Related authors

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

  1. Philipp Berens
  2. Henrika Langen
  3. Abhinandan Dalal
  4. Helmut Farbmacher
  5. Eric Tchetgen Tchetgen
  6. Andrew Ying
  7. James M. Robins
  8. Jonathan Fuhr
  9. Dominik Papies
  10. Ilya Shpitser
  11. Victor Chernozhukov
  12. AmirEmad Ghassami
  13. Hidehiko Ichimura
  14. Christian Hansen
  15. Alexandre Belloni
  16. Juan Carlos Escanciano
  17. Whitney K. Newey
  18. Martin Huber
  19. Martin Spindler
  20. Daniel Chen

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)

Anytime-Valid Inference for Double/Debiased Machine Learning of Causal Parameters
working paper2024 · arXiv
with Abhinandan Dalal, Patrick Blöbaum, Aaditya Ramdas
Paper profile arXiv arXiv:2408.09598
SGD with Low-Dimensional Gradients with Applications to Private and Distributed Learning
published2021 · Uncertainty in Artificial Intelligence · 1 citations
no link
Federated Learning under Arbitrary Communication Patterns
published2021 · International Conference on Machine Learning · 14 citations
with Dmitrii Avdiukhin
no link
Efficient Intervention Design for Causal Discovery with Latents
published2020 · International Conference on Machine Learning · 4 citations
with Raghavendra Addanki, Andrew McGregor, Cameron Musco
International Conference on Machine Learning
Semi-Supervised Learning on Data Streams via Temporal Label Propagation
published2018 · International Conference on Machine Learning · 31 citations
with Tal Wagner, Sudipto Guha, Nina Mishra
no link
Verifying Properties of Binarized Deep Neural Networks
published2018 · Proceedings of the AAAI Conference on Artificial Intelligence · 193 citations
with Nina Narodytska, Leonid Ryzhyk, Mooly Sagiv, Toby Walsh
Proceedings of the AAAI Conference on Artificial Intelligence
Efficient private empirical risk minimization for high-dimensional learning
published2016 · International Conference on Machine Learning · 36 citations
with Hongxia Jin
no link
Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications
published2015 · Proceedings of the AAAI Conference on Artificial Intelligence · 39 citations
with Shengping Zhang, Pong C. Yuen, Mehrtash Harandi
Proceedings of the AAAI Conference on Artificial Intelligence
Bounds on the sample complexity for private learning and private data release
published2013 · Machine Learning · 97 citations · first circulated 2010
with Amos Beimel, Hai Brenner, Kobbi Nissim
Machine Learning
Online L1-Dictionary Learning with Application to Novel Document Detection
published2012 · Neural Information Processing Systems · 51 citations
with Huahua Wang, Arindam Banerjee, Prem Melville
no link

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.