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Sivaraman Balakrishnan

Showing results (1-10 of 5) with videos related to

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Biometrics|November 4, 2017
Discussion of "Data-driven confounder selection via Markov and Bayesian networks" by Jenny HäggströmEdward H Kennedy, Sivaraman Balakrishnan
Proceedings of the National Academy of Sciences of the United States of America|July 8, 2020
Universal inferenceLarry Wasserman, Aaditya Ramdas, Sivaraman Balakrishnan
BMC Genomics|December 5, 2009
Alternative paths in HIV-1 targeted human signal transduction pathwaysSivaraman Balakrishnan, Oznur Tastan, Jaime Carbonell, et al.
Annals of Statistics|April 2, 2025
Minimax rates for heterogeneous causal effect estimationEdward H Kennedy, Sivaraman Balakrishnan, James M Robins, et al.
Proteins|January 27, 2011
Learning generative models for protein fold familiesSivaraman Balakrishnan, Hetunandan Kamisetty, Jaime G Carbonell, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Biometrics|November 4, 2017
Discussion of "Data-driven confounder selection via Markov and Bayesian networks" by Jenny HäggströmEdward H Kennedy, Sivaraman Balakrishnan
Proceedings of the National Academy of Sciences of the United States of America|July 8, 2020
Universal inferenceLarry Wasserman, Aaditya Ramdas, Sivaraman Balakrishnan
BMC Genomics|December 5, 2009
Alternative paths in HIV-1 targeted human signal transduction pathwaysSivaraman Balakrishnan, Oznur Tastan, Jaime Carbonell, et al.
Annals of Statistics|April 2, 2025
Minimax rates for heterogeneous causal effect estimationEdward H Kennedy, Sivaraman Balakrishnan, James M Robins, et al.
Proteins|January 27, 2011
Learning generative models for protein fold familiesSivaraman Balakrishnan, Hetunandan Kamisetty, Jaime G Carbonell, et al.
Pageof 1